OPEN: A Benchmark Dataset and Baseline for Older Adult Patient Engagement Recognition in Virtual Rehabilitation Learning Environments | Paper Citation Record

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This paper cites Rehabilita- tion,.

OPEN: A Benchmark Dataset and Baseline for Older Adult Patient Engagement Recognition in Virtual Rehabilitation Learning Environments Rehabilita- tion,

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This paper cites Psychometric validation of the cardiac rehabilitation barriers scale,.

OPEN: A Benchmark Dataset and Baseline for Older Adult Patient Engagement Recognition in Virtual Rehabilitation Learning Environments Psychometric validation of the cardiac rehabilitation barriers scale,

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This paper cites Home-based cardiac rehabilitation among patients unwilling to participate in hospital- based programs,.

OPEN: A Benchmark Dataset and Baseline for Older Adult Patient Engagement Recognition in Virtual Rehabilitation Learning Environments Home-based cardiac rehabilitation among patients unwilling to participate in hospital- based programs,

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This paper cites Wearable sensors and machine learning in post-stroke rehabilitation assessment: A systematic review,.

OPEN: A Benchmark Dataset and Baseline for Older Adult Patient Engagement Recognition in Virtual Rehabilitation Learning Environments Wearable sensors and machine learning in post-stroke rehabilitation assessment: A systematic review,

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This paper cites Telerehabilitation for patients with knee osteoarthritis: a focused review of technologies and teleservices,.

OPEN: A Benchmark Dataset and Baseline for Older Adult Patient Engagement Recognition in Virtual Rehabilitation Learning Environments Telerehabilitation for patients with knee osteoarthritis: a focused review of technologies and teleservices,

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This paper cites Ai-driven stroke rehabilitation systems and assessment: A systematic review,.

OPEN: A Benchmark Dataset and Baseline for Older Adult Patient Engagement Recognition in Virtual Rehabilitation Learning Environments Ai-driven stroke rehabilitation systems and assessment: A systematic review,

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This paper cites Artificial intelligence-driven virtual rehabilitation for people living in the community: A scoping review,.

OPEN: A Benchmark Dataset and Baseline for Older Adult Patient Engagement Recognition in Virtual Rehabilitation Learning Environments Artificial intelligence-driven virtual rehabilitation for people living in the community: A scoping review,

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This paper cites A conceptual review of engagement in healthcare and rehabilita- tion,.

OPEN: A Benchmark Dataset and Baseline for Older Adult Patient Engagement Recognition in Virtual Rehabilitation Learning Environments A conceptual review of engagement in healthcare and rehabilita- tion,

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This paper cites Fa- cilitating neurorehabilitation through principles of engagement,.

OPEN: A Benchmark Dataset and Baseline for Older Adult Patient Engagement Recognition in Virtual Rehabilitation Learning Environments Fa- cilitating neurorehabilitation through principles of engagement,

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This paper cites Unpacking patient engagement in remote consultation,.

OPEN: A Benchmark Dataset and Baseline for Older Adult Patient Engagement Recognition in Virtual Rehabilitation Learning Environments Unpacking patient engagement in remote consultation,

Reference 10

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This paper cites School engage- ment: Potential of the concept, state of the evidence,.

OPEN: A Benchmark Dataset and Baseline for Older Adult Patient Engagement Recognition in Virtual Rehabilitation Learning Environments School engage- ment: Potential of the concept, state of the evidence,

Reference 11

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This paper cites The challenges of defining and measuring student engagement in science,.

OPEN: A Benchmark Dataset and Baseline for Older Adult Patient Engagement Recognition in Virtual Rehabilitation Learning Environments The challenges of defining and measuring student engagement in science,

Reference 12

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This paper cites Automatic context-aware inference of engagement in hmi: A survey,.

OPEN: A Benchmark Dataset and Baseline for Older Adult Patient Engagement Recognition in Virtual Rehabilitation Learning Environments Automatic context-aware inference of engagement in hmi: A survey,

Reference 13

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This paper cites Engagement detection and its applications in learning: a tutorial and selective review,.

OPEN: A Benchmark Dataset and Baseline for Older Adult Patient Engagement Recognition in Virtual Rehabilitation Learning Environments Engagement detection and its applications in learning: a tutorial and selective review,

Reference 14

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This paper cites Engagement detection in online learning: a review,.

OPEN: A Benchmark Dataset and Baseline for Older Adult Patient Engagement Recognition in Virtual Rehabilitation Learning Environments Engagement detection in online learning: a review,

Reference 15

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This paper cites Inconsistencies in the Definition and Annotation of Student Engagement in Virtual Learning Datasets: A Critical Review.

OPEN: A Benchmark Dataset and Baseline for Older Adult Patient Engagement Recognition in Virtual Rehabilitation Learning Environments Inconsistencies in the Definition and Annotation of Student Engagement in Virtual Learning Datasets: A Critical Review

Reference 16

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This paper cites Automatic student engagement measurement using machine learning techniques: A literature study of data and methods,.

OPEN: A Benchmark Dataset and Baseline for Older Adult Patient Engagement Recognition in Virtual Rehabilitation Learning Environments Automatic student engagement measurement using machine learning techniques: A literature study of data and methods,

Reference 17

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This paper cites Predicting en- gagement of older people’s virtual teams from video call analysis,.

OPEN: A Benchmark Dataset and Baseline for Older Adult Patient Engagement Recognition in Virtual Rehabilitation Learning Environments Predicting en- gagement of older people’s virtual teams from video call analysis,

Reference 18

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This paper cites Facial expression recognition influ- enced by human aging,.

OPEN: A Benchmark Dataset and Baseline for Older Adult Patient Engagement Recognition in Virtual Rehabilitation Learning Environments Facial expression recognition influ- enced by human aging,

Reference 19

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This paper cites Age and gender differences in emotion recognition,.

OPEN: A Benchmark Dataset and Baseline for Older Adult Patient Engagement Recognition in Virtual Rehabilitation Learning Environments Age and gender differences in emotion recognition,

Reference 20

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This paper cites Selective attention and facial expression recognition in patients with parkinson’s disease,.

OPEN: A Benchmark Dataset and Baseline for Older Adult Patient Engagement Recognition in Virtual Rehabilitation Learning Environments Selective attention and facial expression recognition in patients with parkinson’s disease,

Reference 21

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OPEN: A Benchmark Dataset and Baseline for Older Adult Patient Engagement Recognition in Virtual Rehabilitation Learning Environments Unresolved cited work

Reference 22

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This paper cites Automatic engagement estima- tion in smart education/learning settings: a systematic review of engagement definitions, datasets, and methods,.

OPEN: A Benchmark Dataset and Baseline for Older Adult Patient Engagement Recognition in Virtual Rehabilitation Learning Environments Automatic engagement estima- tion in smart education/learning settings: a systematic review of engagement definitions, datasets, and methods,

Reference 23

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This paper cites Engagement measurement based on facial landmarks and spatial-temporal graph convolutional net- works,.

OPEN: A Benchmark Dataset and Baseline for Older Adult Patient Engagement Recognition in Virtual Rehabilitation Learning Environments Engagement measurement based on facial landmarks and spatial-temporal graph convolutional net- works,

Reference 24

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This paper cites Tcct- net: Two-stream network architecture for fast and efficient engage- ment estimation via behavioral feature signals,.

OPEN: A Benchmark Dataset and Baseline for Older Adult Patient Engagement Recognition in Virtual Rehabilitation Learning Environments Tcct- net: Two-stream network architecture for fast and efficient engage- ment estimation via behavioral feature signals,

Reference 25

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This paper cites Do i have your attention: A large scale engagement prediction dataset and baselines,.

OPEN: A Benchmark Dataset and Baseline for Older Adult Patient Engagement Recognition in Virtual Rehabilitation Learning Environments Do i have your attention: A large scale engagement prediction dataset and baselines,

Reference 26

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This paper cites On the influence of an iterative affect annotation approach on inter-observer and self-observer reliability,.

OPEN: A Benchmark Dataset and Baseline for Older Adult Patient Engagement Recognition in Virtual Rehabilitation Learning Environments On the influence of an iterative affect annotation approach on inter-observer and self-observer reliability,

Reference 27

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This paper cites Human expert labeling process (help): towards a reliable higher-order user state labeling process and tool to assess student engagement,.

OPEN: A Benchmark Dataset and Baseline for Older Adult Patient Engagement Recognition in Virtual Rehabilitation Learning Environments Human expert labeling process (help): towards a reliable higher-order user state labeling process and tool to assess student engagement,

Reference 28

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OPEN: A Benchmark Dataset and Baseline for Older Adult Patient Engagement Recognition in Virtual Rehabilitation Learning Environments Baker rodrigo ocumpaugh monitoring protocol (bromp) 2.0 technical and training manual,

Reference 29

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This paper cites An unobtrusive and multimodal approach for behavioral engagement detection of students,.

OPEN: A Benchmark Dataset and Baseline for Older Adult Patient Engagement Recognition in Virtual Rehabilitation Learning Environments An unobtrusive and multimodal approach for behavioral engagement detection of students,

Reference 30

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This paper cites Annotating student engagement across grades 1–12: Associations with demographics and expressivity,.

OPEN: A Benchmark Dataset and Baseline for Older Adult Patient Engagement Recognition in Virtual Rehabilitation Learning Environments Annotating student engagement across grades 1–12: Associations with demographics and expressivity,

Reference 31

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This paper cites Behavioral engagement detection of students in the wild,.

OPEN: A Benchmark Dataset and Baseline for Older Adult Patient Engagement Recognition in Virtual Rehabilitation Learning Environments Behavioral engagement detection of students in the wild,

Reference 32

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This paper cites The faces of engagement: Automatic recognition of student en- gagementfrom facial expressions,.

OPEN: A Benchmark Dataset and Baseline for Older Adult Patient Engagement Recognition in Virtual Rehabilitation Learning Environments The faces of engagement: Automatic recognition of student en- gagementfrom facial expressions,

Reference 33

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This paper cites Learner engagement measurement and classification in 1: 1 learning,.

OPEN: A Benchmark Dataset and Baseline for Older Adult Patient Engagement Recognition in Virtual Rehabilitation Learning Environments Learner engagement measurement and classification in 1: 1 learning,

Reference 34

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This paper cites Detecting student engagement: human versus ma- chine,.

OPEN: A Benchmark Dataset and Baseline for Older Adult Patient Engagement Recognition in Virtual Rehabilitation Learning Environments Detecting student engagement: human versus ma- chine,

Reference 35

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This paper cites A hybrid intelligence-aided approach to affect-sensitive e-learning,.

OPEN: A Benchmark Dataset and Baseline for Older Adult Patient Engagement Recognition in Virtual Rehabilitation Learning Environments A hybrid intelligence-aided approach to affect-sensitive e-learning,

Reference 36

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This paper cites DAiSEE: Towards User Engagement Recognition in the Wild.

OPEN: A Benchmark Dataset and Baseline for Older Adult Patient Engagement Recognition in Virtual Rehabilitation Learning Environments DAiSEE: Towards User Engagement Recognition in the Wild

Reference 37

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This paper cites A crowdsourced approach to student engagement recognition in e-learning en- vironments,.

OPEN: A Benchmark Dataset and Baseline for Older Adult Patient Engagement Recognition in Virtual Rehabilitation Learning Environments A crowdsourced approach to student engagement recognition in e-learning en- vironments,

Reference 38

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This paper cites Toward active and unobtrusive engagement assessment of distance learners,.

OPEN: A Benchmark Dataset and Baseline for Older Adult Patient Engagement Recognition in Virtual Rehabilitation Learning Environments Toward active and unobtrusive engagement assessment of distance learners,

Reference 39

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This paper cites Predicting students’ attention in the classroom from kinect facial and body features,.

OPEN: A Benchmark Dataset and Baseline for Older Adult Patient Engagement Recognition in Virtual Rehabilitation Learning Environments Predicting students’ attention in the classroom from kinect facial and body features,

Reference 40

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This paper cites Prediction and localization of student engagement in the wild,.

OPEN: A Benchmark Dataset and Baseline for Older Adult Patient Engagement Recognition in Virtual Rehabilitation Learning Environments Prediction and localization of student engagement in the wild,

Reference 41

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This paper cites Measuring student engagement level using facial infor- mation,.

OPEN: A Benchmark Dataset and Baseline for Older Adult Patient Engagement Recognition in Virtual Rehabilitation Learning Environments Measuring student engagement level using facial infor- mation,

Reference 42

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This paper cites Automatic recognition of student engagement using deep learning and facial expression,.

OPEN: A Benchmark Dataset and Baseline for Older Adult Patient Engagement Recognition in Virtual Rehabilitation Learning Environments Automatic recognition of student engagement using deep learning and facial expression,

Reference 43

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This paper cites Application of deep learning on stu- dent engagement in e-learning environments,.

OPEN: A Benchmark Dataset and Baseline for Older Adult Patient Engagement Recognition in Virtual Rehabilitation Learning Environments Application of deep learning on stu- dent engagement in e-learning environments,

Reference 44

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This paper cites Student engagement dataset,.

OPEN: A Benchmark Dataset and Baseline for Older Adult Patient Engagement Recognition in Virtual Rehabilitation Learning Environments Student engagement dataset,

Reference 45

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Observation 52866ca5-14bb-4e91-aff5-6c8c1a1301b6 · outbound

This paper cites Hierarchical temporal multi- instance learning for video-based student learning engagement assessment.

OPEN: A Benchmark Dataset and Baseline for Older Adult Patient Engagement Recognition in Virtual Rehabilitation Learning Environments Hierarchical temporal multi- instance learning for video-based student learning engagement assessment

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:45:42.390829Z

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Observation 9b70e9f6-e4e7-4527-8422-dfe6d29fe0c8 · outbound

This paper cites Facial emotion recog- nition based real-time learner engagement detection system in online learning context using deep learning models,.

OPEN: A Benchmark Dataset and Baseline for Older Adult Patient Engagement Recognition in Virtual Rehabilitation Learning Environments Facial emotion recog- nition based real-time learner engagement detection system in online learning context using deep learning models,

Reference 47

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Observation 97cbc7fe-c92b-429b-bd0a-2e81399277e7 · outbound

This paper cites Evaluation of e-learners’ concentra- IEEE TRANSACTIONS ON LEARNING TECHNOLOGIES, VOL. 18, NO. 18, JUL Y 2025 14 tion using recurrent neural networks,.

OPEN: A Benchmark Dataset and Baseline for Older Adult Patient Engagement Recognition in Virtual Rehabilitation Learning Environments Evaluation of e-learners’ concentra- IEEE TRANSACTIONS ON LEARNING TECHNOLOGIES, VOL. 18, NO. 18, JUL Y 2025 14 tion using recurrent neural networks,

Reference 48

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Observation e49ab61f-acfb-4b7b-854c-c13bd99a1017 · outbound

This paper cites Multi- label disengagement and behavior prediction in online learning,.

OPEN: A Benchmark Dataset and Baseline for Older Adult Patient Engagement Recognition in Virtual Rehabilitation Learning Environments Multi- label disengagement and behavior prediction in online learning,

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:45:42.368313Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation b07c5eea-7b4b-44da-901a-960226b59627 · outbound

This paper cites Video-based affect detection in noninteractive learning environments.

OPEN: A Benchmark Dataset and Baseline for Older Adult Patient Engagement Recognition in Virtual Rehabilitation Learning Environments Video-based affect detection in noninteractive learning environments

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:45:42.361022Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 1cf45d71-dbd1-4daa-a22f-f88d350d0f8b · outbound

This paper cites Auto- mated detection of engagement using video-based estimation of facial expressions and heart rate,.

OPEN: A Benchmark Dataset and Baseline for Older Adult Patient Engagement Recognition in Virtual Rehabilitation Learning Environments Auto- mated detection of engagement using video-based estimation of facial expressions and heart rate,

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:45:42.353683Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 677ca88a-3786-4240-a809-b6198dc11c53 · outbound

This paper cites “en- gaged faces.

OPEN: A Benchmark Dataset and Baseline for Older Adult Patient Engagement Recognition in Virtual Rehabilitation Learning Environments “en- gaged faces

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:45:42.346726Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 5e68141f-e6ec-4307-9811-662c2f9ab93b · outbound

This paper cites Time to scale: Gen- eralizable affect detection for tens of thousands of students across an entire school year,.

OPEN: A Benchmark Dataset and Baseline for Older Adult Patient Engagement Recognition in Virtual Rehabilitation Learning Environments Time to scale: Gen- eralizable affect detection for tens of thousands of students across an entire school year,

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:45:42.339328Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation b4e4c9eb-c64c-48e9-8f92-68f7665cd2ba · outbound

This paper cites Computer vision and human behaviour, emotion and cognition detection: A use case on student engagement,.

OPEN: A Benchmark Dataset and Baseline for Older Adult Patient Engagement Recognition in Virtual Rehabilitation Learning Environments Computer vision and human behaviour, emotion and cognition detection: A use case on student engagement,

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:45:42.331996Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation c1128173-16c8-4071-8653-505c3a5c9315 · outbound

This paper cites Assessing student engagement from facial behavior in on-line learning,.

OPEN: A Benchmark Dataset and Baseline for Older Adult Patient Engagement Recognition in Virtual Rehabilitation Learning Environments Assessing student engagement from facial behavior in on-line learning,

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:45:42.324572Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation f16e0db5-a7e5-4298-b706-3fd5c81d3351 · outbound

This paper cites Au- tomatic prediction of presentation style and student engagement from videos,.

OPEN: A Benchmark Dataset and Baseline for Older Adult Patient Engagement Recognition in Virtual Rehabilitation Learning Environments Au- tomatic prediction of presentation style and student engagement from videos,

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:45:42.317275Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation f4953759-985e-4722-a3ee-4dfeed892483 · outbound

This paper cites Using video to automatically detect learner affect in computer- enabled classrooms,.

OPEN: A Benchmark Dataset and Baseline for Older Adult Patient Engagement Recognition in Virtual Rehabilitation Learning Environments Using video to automatically detect learner affect in computer- enabled classrooms,

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:45:42.309769Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 829bc2ea-3726-4450-8234-226249dd0d97 · outbound

This paper cites Esti- mation of learners’ engagement using face and body features by transfer learning,.

OPEN: A Benchmark Dataset and Baseline for Older Adult Patient Engagement Recognition in Virtual Rehabilitation Learning Environments Esti- mation of learners’ engagement using face and body features by transfer learning,

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:45:42.302223Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 02173bf2-7c5f-4499-a205-53e89f5b0884 · outbound

This paper cites A new emotion–based affective model to detect student’s engage- ment,.

OPEN: A Benchmark Dataset and Baseline for Older Adult Patient Engagement Recognition in Virtual Rehabilitation Learning Environments A new emotion–based affective model to detect student’s engage- ment,

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:45:42.295167Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation ce56a6bb-98bf-4910-85fd-cba4e8923be8 · outbound

This paper cites User engagement in an online digital health intervention to promote problem solving,.

OPEN: A Benchmark Dataset and Baseline for Older Adult Patient Engagement Recognition in Virtual Rehabilitation Learning Environments User engagement in an online digital health intervention to promote problem solving,

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:45:42.288317Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 5ce43222-e0f3-4807-9c56-763c03c5cc4c · outbound

This paper cites Using response times to model student disengage- ment,.

OPEN: A Benchmark Dataset and Baseline for Older Adult Patient Engagement Recognition in Virtual Rehabilitation Learning Environments Using response times to model student disengage- ment,

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:45:42.281359Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 36c59573-426c-409e-8140-67ab517f3736 · outbound

This paper cites Improving state-of-the-art in detecting student engagement with resnet and tcn hybrid network,.

OPEN: A Benchmark Dataset and Baseline for Older Adult Patient Engagement Recognition in Virtual Rehabilitation Learning Environments Improving state-of-the-art in detecting student engagement with resnet and tcn hybrid network,

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:45:42.274047Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 07e90260-64f4-4951-be6d-acb18c88aa67 · outbound

This paper cites Learning deep spatiotempo- ral feature for engagement recognition of online courses,.

OPEN: A Benchmark Dataset and Baseline for Older Adult Patient Engagement Recognition in Virtual Rehabilitation Learning Environments Learning deep spatiotempo- ral feature for engagement recognition of online courses,

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:45:42.266967Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation c4c971cb-d7fe-4c1e-a4ff-7b11d1b214ce · outbound

This paper cites Class-attention Video Transformer for Engagement Intensity Prediction.

OPEN: A Benchmark Dataset and Baseline for Older Adult Patient Engagement Recognition in Virtual Rehabilitation Learning Environments Class-attention Video Transformer for Engagement Intensity Prediction

Reference 64

Resolution: verified exact; local_arxiv, observed 2026-08-06T14:45:42.076011Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 3a53048d-808d-4715-b3a4-3d93de9dccb9 · outbound

This paper cites Students engagement level detection in online e-learning using hybrid efficientnetb7 together with tcn, lstm, and bi-lstm,.

OPEN: A Benchmark Dataset and Baseline for Older Adult Patient Engagement Recognition in Virtual Rehabilitation Learning Environments Students engagement level detection in online e-learning using hybrid efficientnetb7 together with tcn, lstm, and bi-lstm,

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:45:42.259649Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 72b4458d-bf1c-4df0-aa4c-c6062fa6778f · outbound

This paper cites Predicting student engagement using sequential ensemble model,.

OPEN: A Benchmark Dataset and Baseline for Older Adult Patient Engagement Recognition in Virtual Rehabilitation Learning Environments Predicting student engagement using sequential ensemble model,

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:45:42.252241Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation eef30da9-4f01-404a-83f5-402ec423e762 · outbound

This paper cites Msc-trans: A multi-feature-fusion network with encoding structure for student engagement detecting,.

OPEN: A Benchmark Dataset and Baseline for Older Adult Patient Engagement Recognition in Virtual Rehabilitation Learning Environments Msc-trans: A multi-feature-fusion network with encoding structure for student engagement detecting,

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:45:42.244700Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation b9985f36-1121-4643-83d3-d61359f9bf13 · outbound

This paper cites Openface 2.0: Facial behavior analysis toolkit,.

OPEN: A Benchmark Dataset and Baseline for Older Adult Patient Engagement Recognition in Virtual Rehabilitation Learning Environments Openface 2.0: Facial behavior analysis toolkit,

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:45:42.237594Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation e629a7ad-e5e0-4322-a5d9-3a31a9459dde · outbound

This paper cites Affect-driven ordinal engagement measurement from video,.

OPEN: A Benchmark Dataset and Baseline for Older Adult Patient Engagement Recognition in Virtual Rehabilitation Learning Environments Affect-driven ordinal engagement measurement from video,

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:45:42.230507Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation c51af53d-49d2-4e0b-b295-9bef7a8d0313 · outbound

This paper cites Bag of States: A Non-sequential Approach to Video-based Engagement Measurement.

OPEN: A Benchmark Dataset and Baseline for Older Adult Patient Engagement Recognition in Virtual Rehabilitation Learning Environments Bag of States: A Non-sequential Approach to Video-based Engagement Measurement

Reference 70

Resolution: verified exact; local_arxiv, observed 2026-08-06T14:45:42.064646Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation d4c4733f-1c65-4301-8617-2579f8d27487 · outbound

This paper cites Predicting engagement intensity in the wild using temporal convolutional network,.

OPEN: A Benchmark Dataset and Baseline for Older Adult Patient Engagement Recognition in Virtual Rehabilitation Learning Environments Predicting engagement intensity in the wild using temporal convolutional network,

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:45:42.223133Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation c92deb05-9f2e-4089-a7d2-813e21db1c40 · outbound

This paper cites Estimation of continuous valence and arousal levels from faces in naturalistic conditions,.

OPEN: A Benchmark Dataset and Baseline for Older Adult Patient Engagement Recognition in Virtual Rehabilitation Learning Environments Estimation of continuous valence and arousal levels from faces in naturalistic conditions,

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:45:42.216263Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 35d2fd11-644c-4a00-9749-cdc3bbb033c4 · outbound

This paper cites Marlin: Masked autoencoder for facial video representation learning,.

OPEN: A Benchmark Dataset and Baseline for Older Adult Patient Engagement Recognition in Virtual Rehabilitation Learning Environments Marlin: Masked autoencoder for facial video representation learning,

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:45:42.208842Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 773e8620-8a6c-42c7-80de-3183d7df4796 · outbound

This paper cites Detecting disengagement in virtual learning as an anomaly using temporal convolutional network autoencoder,.

OPEN: A Benchmark Dataset and Baseline for Older Adult Patient Engagement Recognition in Virtual Rehabilitation Learning Environments Detecting disengagement in virtual learning as an anomaly using temporal convolutional network autoencoder,

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:45:42.201753Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 5369bfa8-a1fd-4466-b67a-684885f45c9e · outbound

This paper cites MediaPipe: A Framework for Building Perception Pipelines.

OPEN: A Benchmark Dataset and Baseline for Older Adult Patient Engagement Recognition in Virtual Rehabilitation Learning Environments MediaPipe: A Framework for Building Perception Pipelines

Reference 75

Resolution: unresolved; no resolver link, observed 2026-08-06T14:45:41.987822Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0e63ec5c-021b-4b44-b009-a4e27940b5ea · outbound

This paper cites Spatial temporal graph convolutional networks for skeleton-based action recognition,.

OPEN: A Benchmark Dataset and Baseline for Older Adult Patient Engagement Recognition in Virtual Rehabilitation Learning Environments Spatial temporal graph convolutional networks for skeleton-based action recognition,

Reference 76

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:45:42.194454Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 77569720-a91a-4637-8b6d-9ed65506413d · outbound

This paper cites Graph-based facial affect analysis: A review,.

OPEN: A Benchmark Dataset and Baseline for Older Adult Patient Engagement Recognition in Virtual Rehabilitation Learning Environments Graph-based facial affect analysis: A review,

Reference 77

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:45:42.187192Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 495d06a8-82d6-449f-b54e-f1ede848e619 · outbound

This paper cites canadienne de r ´eadaptation cardiaque, Canadian guidelines for cardiac rehabilitation and cardiovascular disease prevention: translating knowledge into action.

OPEN: A Benchmark Dataset and Baseline for Older Adult Patient Engagement Recognition in Virtual Rehabilitation Learning Environments canadienne de r ´eadaptation cardiaque, Canadian guidelines for cardiac rehabilitation and cardiovascular disease prevention: translating knowledge into action

Reference 78

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:45:42.179943Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation f3fe9263-aedb-4a39-8794-6272f6822da2 · outbound

This paper cites Home-based versus centre-based cardiac rehabilitation,.

OPEN: A Benchmark Dataset and Baseline for Older Adult Patient Engagement Recognition in Virtual Rehabilitation Learning Environments Home-based versus centre-based cardiac rehabilitation,

Reference 79

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:45:42.172478Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation fe3ea21d-43ac-4a32-9798-6a4c6205931f · outbound

This paper cites Clinical outcomes and qualitative per- ceptions of in-person, hybrid, and virtual cardiac rehabilitation,.

OPEN: A Benchmark Dataset and Baseline for Older Adult Patient Engagement Recognition in Virtual Rehabilitation Learning Environments Clinical outcomes and qualitative per- ceptions of in-person, hybrid, and virtual cardiac rehabilitation,

Reference 80

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:45:42.165115Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 44303901-1aa1-43b2-97cf-f62e8099d77f · outbound

This paper cites Cardiac college - patient education program for cardiac rehabilitation,.

OPEN: A Benchmark Dataset and Baseline for Older Adult Patient Engagement Recognition in Virtual Rehabilitation Learning Environments Cardiac college - patient education program for cardiac rehabilitation,

Reference 81

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:45:42.157278Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 6c1b2aa8-357b-4923-a4c7-fc8a8e35ac75 · outbound

This paper cites Revisiting annotations in online student engagement,.

OPEN: A Benchmark Dataset and Baseline for Older Adult Patient Engagement Recognition in Virtual Rehabilitation Learning Environments Revisiting annotations in online student engagement,

Reference 82

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:45:42.149904Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation c4fa3cf2-0dda-4781-a54f-d7b17d200100 · outbound

This paper cites Affect-aware tutors: recognising and responding to student affect,.

OPEN: A Benchmark Dataset and Baseline for Older Adult Patient Engagement Recognition in Virtual Rehabilitation Learning Environments Affect-aware tutors: recognising and responding to student affect,

Reference 83

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:45:42.141889Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation dff71e84-4768-478e-9d1a-0b1389d48676 · outbound

This paper cites Dynamics of affective states during complex learning,.

OPEN: A Benchmark Dataset and Baseline for Older Adult Patient Engagement Recognition in Virtual Rehabilitation Learning Environments Dynamics of affective states during complex learning,

Reference 84

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:45:42.133589Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 02ba4f4d-dd28-4e06-a6ce-262dc89deb38 · outbound

This paper cites The dynamics of affective transitions in simulation problem-solving environments,.

OPEN: A Benchmark Dataset and Baseline for Older Adult Patient Engagement Recognition in Virtual Rehabilitation Learning Environments The dynamics of affective transitions in simulation problem-solving environments,

Reference 85

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:45:42.125681Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 7e99b64f-e753-4863-bf9f-54bb306fda3a · outbound

This paper cites an unresolved cited work.

OPEN: A Benchmark Dataset and Baseline for Older Adult Patient Engagement Recognition in Virtual Rehabilitation Learning Environments Unresolved cited work

Reference 86

Resolution: unresolved; raw_fallback, observed 2026-08-06T14:45:42.117831Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation c5e6b91d-de87-4d78-a5c2-ebe63bc124f9 · outbound

This paper cites Interrater reliability: the kappa statistic,.

OPEN: A Benchmark Dataset and Baseline for Older Adult Patient Engagement Recognition in Virtual Rehabilitation Learning Environments Interrater reliability: the kappa statistic,

Reference 87

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:45:42.109995Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation d4a3fb09-f297-4c08-95a4-4657fd056899 · outbound

This paper cites Attention Mesh: High-fidelity Face Mesh Prediction in Real-time.

OPEN: A Benchmark Dataset and Baseline for Older Adult Patient Engagement Recognition in Virtual Rehabilitation Learning Environments Attention Mesh: High-fidelity Face Mesh Prediction in Real-time

Reference 88

Resolution: unresolved; no resolver link, observed 2026-08-06T14:45:42.018449Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9adc9322-6362-419b-94e3-3ad7610d22ce · outbound

This paper cites Rocket: exceptionally fast and accurate time series classification using random convolu- tional kernels,.

OPEN: A Benchmark Dataset and Baseline for Older Adult Patient Engagement Recognition in Virtual Rehabilitation Learning Environments Rocket: exceptionally fast and accurate time series classification using random convolu- tional kernels,

Reference 89

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:45:42.102336Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Coverage vector

Reference resolution

Outbound references

Pith citing papers