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Paper Citation Record · LEDGER

A Multimodal Emotion Recognition System: Integrating Facial Expressions, Body Movement, Speech, and Spoken Language

As of 18 August 2026, this Paper Citation Record lists 57 of 57 outbound references and 2 inbound Pith citation observations for arXiv:2412.17907.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2412.17907 v1

Coverage vector

measured 57 of 57 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T05:12:53.013701Z

measured 59 of 59 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-19T13:09:00.732889Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-05-19T13:12:18.328786Z

Reference resolution

57 of 57 outbound references displayed

  • verified exact16
  • verified fuzzy19
  • unresolved16
  • parse uncertain0
  • malformed identifier2
  • metadata mismatch4

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 9ebee6ba-164e-48c9-a20f-5ffdfd519159 · outbound

This paper cites Clinical judgment and decision making,.

A Multimodal Emotion Recognition System: Integrating Facial Expressions, Body Movement, Speech, and Spoken Language Clinical judgment and decision making,

Reference 1

Resolution
metadata mismatch
raw_fallback, observed 2026-08-11T05:12:54.635820Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T05:12:52.796233Z digest=sha256:faf75855bbed8be696ac19b39f5423706431156eb78171ec375352452ac58747

Observation 32229b4e-2fc1-4b8d-8de3-9c8630d082b1 · outbound

This paper cites Recognizing and reducing cognitive bias in clinical and forensic neurology,.

A Multimodal Emotion Recognition System: Integrating Facial Expressions, Body Movement, Speech, and Spoken Language Recognizing and reducing cognitive bias in clinical and forensic neurology,

Reference 2

Resolution
verified exact
doi, observed 2026-08-11T05:12:53.335426Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T05:12:52.800898Z digest=sha256:88a69638fc2a83bcb646c8ea27a99049abff94cc96fa97b99b4b609f4a65aa52

Observation ca42442d-e39a-42d2-a815-576bc305675b · outbound

This paper cites 2001, PMID: 20669516.

A Multimodal Emotion Recognition System: Integrating Facial Expressions, Body Movement, Speech, and Spoken Language 2001, PMID: 20669516

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T05:12:54.871850Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T05:12:52.804968Z digest=sha256:b67f55f41d4ed3014a0e6a4eb92fd7ab743f1eb696dbd3bbb3b4bd9b36e8217a

Observation f17bb0de-b918-4242-8094-39da471386bf · outbound

This paper cites Deep Facial Expression Recognition: A Survey,.

A Multimodal Emotion Recognition System: Integrating Facial Expressions, Body Movement, Speech, and Spoken Language Deep Facial Expression Recognition: A Survey,

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-11T05:12:52.808730Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T05:12:52.808730Z digest=sha256:4bd24b4d419b6694f2783825979fdf99d19b4f545bb0e4fb1e2949ec33d94a04

Observation 5e0cd19e-6228-44a1-8b73-ad51b4e441a6 · outbound

This paper cites Facial Expression Recognition Using Facial Movement Features,.

A Multimodal Emotion Recognition System: Integrating Facial Expressions, Body Movement, Speech, and Spoken Language Facial Expression Recognition Using Facial Movement Features,

Reference 5

Resolution
malformed identifier
no resolver link, observed 2026-08-11T05:12:52.812636Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T05:12:52.812636Z digest=sha256:56d12481d2a43ff55dd77326af3b5b26b971502866b8b4111719db932796d252

Observation 0909e3e3-6053-4ba8-aa91-86ed720f32ac · outbound

This paper cites Face Expression Recognition and Analysis: The State of the Art.

A Multimodal Emotion Recognition System: Integrating Facial Expressions, Body Movement, Speech, and Spoken Language Face Expression Recognition and Analysis: The State of the Art

Reference 6

Resolution
verified exact
local_arxiv, observed 2026-08-11T05:12:53.316832Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T05:12:52.816885Z digest=sha256:1ab8f316a0dd2feac626bdcba0d177a8b6d7ad3abddf961b4cf2b8e38adefbf4

Observation 1e5bfe3f-d45d-4625-b0f8-8ace722e59cd · outbound

This paper cites The first facial expression recognition and analysis challenge,.

A Multimodal Emotion Recognition System: Integrating Facial Expressions, Body Movement, Speech, and Spoken Language The first facial expression recognition and analysis challenge,

Reference 7

Resolution
metadata mismatch
raw_fallback, observed 2026-08-11T05:12:54.505612Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T05:12:52.821609Z digest=sha256:6ea477af162b85d5431d061ddc112e187394403df6be406c1c8f6b1a8a00814f

Observation aa232255-b3d6-47b4-9827-4af29ca2a4dd · outbound

This paper cites Methods for Facial Expression Recognition with Applications in Challenging Situations,.

A Multimodal Emotion Recognition System: Integrating Facial Expressions, Body Movement, Speech, and Spoken Language Methods for Facial Expression Recognition with Applications in Challenging Situations,

Reference 8

Resolution
verified exact
doi, observed 2026-08-11T05:12:53.301484Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T05:12:52.824998Z digest=sha256:f2dba30e7751640c9e541b28ae17650b6ee026fc526577abb220e4f1bf13cd6d

Observation 8aeaf978-b750-4291-94eb-e9a8c60feee9 · outbound

This paper cites A Comprehensive Review of Speech Emotion Recognition Systems,.

A Multimodal Emotion Recognition System: Integrating Facial Expressions, Body Movement, Speech, and Spoken Language A Comprehensive Review of Speech Emotion Recognition Systems,

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-11T05:12:52.829950Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T05:12:52.829950Z digest=sha256:12fce2fde34fbcdb43e5cd880c5626a730816539d6ec45a2ff11d283f7536106

Observation 20092761-14f4-4d2b-ab15-a78ee0f328c1 · outbound

This paper cites Emotion Recognition from Speech Signals using Excitation Source and Spectral Features,.

A Multimodal Emotion Recognition System: Integrating Facial Expressions, Body Movement, Speech, and Spoken Language Emotion Recognition from Speech Signals using Excitation Source and Spectral Features,

Reference 10

Resolution
metadata mismatch
raw_fallback, observed 2026-08-11T05:12:54.357299Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T05:12:52.834326Z digest=sha256:d6579a9b611b97fa8f67dd778cf2cdb16248a94f5a85dda7abc8ac3724fd5b43

Observation b4287f7b-5e5e-4b8c-9590-bda9d45d7e78 · outbound

This paper cites Learning Salient Features for Speech Emotion Recognition Using Convolutional Neural Networks,.

A Multimodal Emotion Recognition System: Integrating Facial Expressions, Body Movement, Speech, and Spoken Language Learning Salient Features for Speech Emotion Recognition Using Convolutional Neural Networks,

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-11T05:12:52.838872Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T05:12:52.838872Z digest=sha256:a147691d129c14e18eae17bcb01c371f084be48b1cc4315d1c93ce433eb7af05

Observation a2725f54-6b01-4b47-a644-28f33f95119a · outbound

This paper cites LSTM Based Feature Learning and CNN Based Classification for Speech Emotion Recognition,.

A Multimodal Emotion Recognition System: Integrating Facial Expressions, Body Movement, Speech, and Spoken Language LSTM Based Feature Learning and CNN Based Classification for Speech Emotion Recognition,

Reference 12

Resolution
verified exact
raw_fallback, observed 2026-08-11T05:12:54.214022Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T05:12:52.842569Z digest=sha256:24a5ea9afc69188ca4f08b6f9d1cc85058a3568308478c7b079934008a270627

Observation 08ff5162-447d-482e-aadf-a89c0e850ef3 · outbound

This paper cites Emotion Detection using Natural Language Processing,.

A Multimodal Emotion Recognition System: Integrating Facial Expressions, Body Movement, Speech, and Spoken Language Emotion Detection using Natural Language Processing,

Reference 13

Resolution
verified exact
raw_fallback, observed 2026-08-11T05:12:54.129150Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T05:12:52.846134Z digest=sha256:f72bbda5e7d9ab4dc2eb85bec75e934590e55bff52c4c600512f1e184da60723

Observation fbbc4a2a-a4a0-4f2c-b172-91e82063e68e · outbound

This paper cites Multi -Class Twitter Emotion Classification: A New Approach,.

A Multimodal Emotion Recognition System: Integrating Facial Expressions, Body Movement, Speech, and Spoken Language Multi -Class Twitter Emotion Classification: A New Approach,

Reference 14

Resolution
verified exact
doi, observed 2026-08-11T05:12:53.288661Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T05:12:52.850189Z digest=sha256:ba0ad492cf70fb6bac87ce4a543a91d16eba4c64dc7422d1daf8c2fb9d53900e

Observation 24d7731b-13f5-4e1f-bbca-2a83084792f9 · outbound

This paper cites Multi -class sentiment analysis on twitter: Classification performance and challenges,.

A Multimodal Emotion Recognition System: Integrating Facial Expressions, Body Movement, Speech, and Spoken Language Multi -class sentiment analysis on twitter: Classification performance and challenges,

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-11T05:12:52.853725Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T05:12:52.853725Z digest=sha256:bea9b0f0bbbb9f0fca553b22db5950ddddb7be9765e07e76d5ba3bf314641ea1

Observation f7ec63b1-148a-4c6f-8e1e-e905837b3c1c · outbound

This paper cites Multimodal Emotion Recognition Using Deep Learning Techniques,.

A Multimodal Emotion Recognition System: Integrating Facial Expressions, Body Movement, Speech, and Spoken Language Multimodal Emotion Recognition Using Deep Learning Techniques,

Reference 16

Resolution
verified exact
raw_fallback, observed 2026-08-11T05:12:53.996017Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T05:12:52.857297Z digest=sha256:6da8ae6fc15e619176d4ad79c1c0e39c54a7538122aa028359d679a14aeebc61

Observation d36e9701-d610-4b17-acff-bbdd02b21e47 · outbound

This paper cites Multi-Modal Emotion recognition on IEMOCAP Dataset using Deep Learning.

A Multimodal Emotion Recognition System: Integrating Facial Expressions, Body Movement, Speech, and Spoken Language Multi-Modal Emotion recognition on IEMOCAP Dataset using Deep Learning

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-11T05:12:52.860727Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T05:12:52.860727Z digest=sha256:09fe5218cf7bfb6e90cf6c0f9c4025ff856e7813509477c890b7ecdd043dfde5

Observation 6b2fd57b-ca8b-4375-9962-77e7cd10cbb1 · outbound

This paper cites FAF: A novel multimodal emotion recognition approach integrating face, body and text.

A Multimodal Emotion Recognition System: Integrating Facial Expressions, Body Movement, Speech, and Spoken Language FAF: A novel multimodal emotion recognition approach integrating face, body and text

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-11T05:12:52.864822Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T05:12:52.864822Z digest=sha256:712889aa30852f280e7b030d163ecca81f6bed9a2e00e89360bc5a9c2c893efc

Observation b2a12803-8536-4811-8a9e-bbd88128a9ed · outbound

This paper cites Multimodal mixed emotion detection,.

A Multimodal Emotion Recognition System: Integrating Facial Expressions, Body Movement, Speech, and Spoken Language Multimodal mixed emotion detection,

Reference 19

Resolution
metadata mismatch
raw_fallback, observed 2026-08-11T05:12:53.931759Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T05:12:52.869265Z digest=sha256:528980c2f6c192b68f7e89f312da0c533822b7de152a49c7cfbdaf725c358950

Observation 1faa4991-9f4f-44fb-ace7-84ae0cc8f31b · outbound

This paper cites Multimodal Emotion Recognition using Deep Learning,.

A Multimodal Emotion Recognition System: Integrating Facial Expressions, Body Movement, Speech, and Spoken Language Multimodal Emotion Recognition using Deep Learning,

Reference 20

Resolution
verified exact
doi, observed 2026-08-11T05:12:53.257107Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T05:12:52.873103Z digest=sha256:be94be951d02fd1a87e940713ac928b0d7146269e28cc9ff87a8e79294b57578

Observation 1a72f3ef-0300-41ff-8357-976fd655df90 · outbound

This paper cites Exploring Fusion Methods for Multimodal Emotion Recognition with Missing Data,.

A Multimodal Emotion Recognition System: Integrating Facial Expressions, Body Movement, Speech, and Spoken Language Exploring Fusion Methods for Multimodal Emotion Recognition with Missing Data,

Reference 21

Resolution
verified exact
doi, observed 2026-08-11T05:12:53.245454Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T05:12:52.876818Z digest=sha256:5c7e59b76e9b8d4f56a4c4e8d37b5493b634aa095cb1ede7dd5862ee8b725745

Observation f72d0890-0fce-4a35-b989-ebd2f3bfe761 · outbound

This paper cites Kraack, Face Expression Recognition, GitHub repository, Nov.

A Multimodal Emotion Recognition System: Integrating Facial Expressions, Body Movement, Speech, and Spoken Language Kraack, Face Expression Recognition, GitHub repository, Nov

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T05:12:54.860074Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T05:12:52.880230Z digest=sha256:07c16c3547f866e2bc2336e6d3ca303e5b152fc0e2c79d82b7d39ff245b3892e

Observation 6d65d590-5c1b-4972-8e9a-b3284dabf077 · outbound

This paper cites Kraack, Body Movement Analysis , GitHub repository, Nov.

A Multimodal Emotion Recognition System: Integrating Facial Expressions, Body Movement, Speech, and Spoken Language Kraack, Body Movement Analysis , GitHub repository, Nov

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T05:12:54.848388Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T05:12:52.884357Z digest=sha256:a081339bcda318b7787ef1acf57a3f7118df3617d28fe1e53be4c91d8f86218d

Observation 563e03cd-f6d0-4ca2-a6eb-64536293ffaa · outbound

This paper cites Kraack, Voice Emotion Detection , GitHub repository, Nov.

A Multimodal Emotion Recognition System: Integrating Facial Expressions, Body Movement, Speech, and Spoken Language Kraack, Voice Emotion Detection , GitHub repository, Nov

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T05:12:54.837867Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T05:12:52.887850Z digest=sha256:181d75b9986bf4984106c78069ec889ab241b9ceab207aabe366c0923603fa1d

Observation 48dde625-0af0-4e2d-bc02-f8e6d81cb213 · outbound

This paper cites Kraack, NLP Emotion Recognition, GitHub repository, Nov.

A Multimodal Emotion Recognition System: Integrating Facial Expressions, Body Movement, Speech, and Spoken Language Kraack, NLP Emotion Recognition, GitHub repository, Nov

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T05:12:54.827200Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T05:12:52.891439Z digest=sha256:4004072ec411ce3f4e2e988f4e25c6ad8a3190348411507ad8aba69388926c20

Observation 8795e881-f0ee-43fe-916d-c99de0b44a90 · outbound

This paper cites Kraack, Multimodal Emotion Detection, GitHub repository, Nov.

A Multimodal Emotion Recognition System: Integrating Facial Expressions, Body Movement, Speech, and Spoken Language Kraack, Multimodal Emotion Detection, GitHub repository, Nov

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T05:12:54.814277Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T05:12:52.895165Z digest=sha256:d0bbe60891af6825c2b03d3d62cddbc699a06758c84a2184fe9664c8e04ebb53

Observation a04c7b7a-e5c8-4979-8eaf-efe493ef72ca · outbound

This paper cites An ingroup disadvantage in recognizing micro -expressions,.

A Multimodal Emotion Recognition System: Integrating Facial Expressions, Body Movement, Speech, and Spoken Language An ingroup disadvantage in recognizing micro -expressions,

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-11T05:12:52.902588Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T05:12:52.902588Z digest=sha256:9fdb448c46b7d28cc92df7819de00343157bdb159aef0144db7ba8fbd17820cd

Observation e842ec7f-06d9-49ab-9870-1b30863b8222 · outbound

This paper cites Life Events and Mental Status: A Longitudinal Study,.

A Multimodal Emotion Recognition System: Integrating Facial Expressions, Body Movement, Speech, and Spoken Language Life Events and Mental Status: A Longitudinal Study,

Reference 28

Resolution
verified exact
doi, observed 2026-08-11T05:12:53.233853Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T05:12:52.906175Z digest=sha256:3e61afe162cf278236c5d5f238bf5043f6a82749941707b17eabeb571a9d5d3a

Observation bf159404-c667-4064-ae4a-5996fefa1159 · outbound

This paper cites Compassion fatigue and global compassion fatigue in practitioner psychologists: A qualitative study,.

A Multimodal Emotion Recognition System: Integrating Facial Expressions, Body Movement, Speech, and Spoken Language Compassion fatigue and global compassion fatigue in practitioner psychologists: A qualitative study,

Reference 29

Resolution
malformed identifier
doi_truncated, observed 2026-08-11T05:12:53.220125Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T05:12:52.909715Z digest=sha256:fa9b602b90573535b8c1f6bb03cf7033fb213ce0ca5e1a97b2bf33fdef8ceef3

Observation fd27f303-cc89-4814-a8b1-12eb8bae672b · outbound

This paper cites Fatigue among clinicians and the safety of patients,.

A Multimodal Emotion Recognition System: Integrating Facial Expressions, Body Movement, Speech, and Spoken Language Fatigue among clinicians and the safety of patients,

Reference 30

Resolution
verified exact
doi, observed 2026-08-11T05:12:53.208027Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T05:12:52.913386Z digest=sha256:cc0031fab6fa34f08e3ebb3afb0956cc5cb273251a484f02d11c65693557cf96

Observation a8453b62-c469-4662-93d6-baaa188facff · outbound

This paper cites Breaking the taboo: Eight Swedish clinical psychologists’ experiences of compassion fatigue,.

A Multimodal Emotion Recognition System: Integrating Facial Expressions, Body Movement, Speech, and Spoken Language Breaking the taboo: Eight Swedish clinical psychologists’ experiences of compassion fatigue,

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-11T05:12:52.917060Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T05:12:52.917060Z digest=sha256:aa21a745c9ced81d56273ee044075e0c58435447c1573c55df070323ed3907dc

Observation 39cb478e-b901-45e1-96fd-9057819f1afe · outbound

This paper cites Anatomy of an epidemic: Psychiatric drugs and the astonishing rise of mental illness in America,.

A Multimodal Emotion Recognition System: Integrating Facial Expressions, Body Movement, Speech, and Spoken Language Anatomy of an epidemic: Psychiatric drugs and the astonishing rise of mental illness in America,

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T05:12:54.790995Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T05:12:52.920582Z digest=sha256:1184419036a6f15212f2d8441a3eadb3cf07de52cd1daedabaaf9f6dd46111e3

Observation 0215af87-6d80-46d3-b225-1ba990433aa3 · outbound

This paper cites Diagnostic error in mental health: A review,.

A Multimodal Emotion Recognition System: Integrating Facial Expressions, Body Movement, Speech, and Spoken Language Diagnostic error in mental health: A review,

Reference 33

Resolution
verified exact
doi, observed 2026-08-11T05:12:53.195895Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T05:12:52.924206Z digest=sha256:cf1d7af6fd24b24a6b7a849ebcdc50feab28d1fd711dcddf9c03560a3fd5db1f

Observation 43a32f55-12b6-49ca-85f4-aab8c3cbcdac · outbound

This paper cites Overdiagnosis of mental disorders in children and adolescents (in developed countries),.

A Multimodal Emotion Recognition System: Integrating Facial Expressions, Body Movement, Speech, and Spoken Language Overdiagnosis of mental disorders in children and adolescents (in developed countries),

Reference 34

Resolution
verified exact
doi, observed 2026-08-11T05:12:53.183149Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T05:12:52.928322Z digest=sha256:fda141d83d3257dfcebb3ef6dd3c264927348784d57859825de78773a86628e5

Observation 84af9f63-efdb-49ca-b087-28518cec31d6 · outbound

This paper cites Deep convolution network based emotion analysis towards mental health care,.

A Multimodal Emotion Recognition System: Integrating Facial Expressions, Body Movement, Speech, and Spoken Language Deep convolution network based emotion analysis towards mental health care,

Reference 35

Resolution
verified exact
doi, observed 2026-08-11T05:12:53.171893Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T05:12:52.932129Z digest=sha256:ea1d9597e24fc5a34462e72bb381ea8df3021e3524fd901700df4ed4a3bad6c9

Observation c35abe59-72c7-448d-954a-6122a38b6b88 · outbound

This paper cites Spoken Language Derived Measures for Detecting Mild Cognitive Impairment,.

A Multimodal Emotion Recognition System: Integrating Facial Expressions, Body Movement, Speech, and Spoken Language Spoken Language Derived Measures for Detecting Mild Cognitive Impairment,

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-11T05:12:52.936028Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T05:12:52.936028Z digest=sha256:4f2157d4746a4fed8c902b35577113e16e5544f30520008a74f991bd032634f4

Observation 3cf75366-d35a-4b3f-b18f-b23bd0a31c3f · outbound

This paper cites Challenges in representation learning: A report on three machine learning contests,.

A Multimodal Emotion Recognition System: Integrating Facial Expressions, Body Movement, Speech, and Spoken Language Challenges in representation learning: A report on three machine learning contests,

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-11T05:12:52.939914Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T05:12:52.939914Z digest=sha256:eca2546f5d3f5f9ffe44e8d79721ce3cc2d37c139339064b61bafe250837f2bc

Observation 1c1345eb-a344-4116-9df2-e73f8fcdc9e8 · outbound

This paper cites Reliable Crowdsourcing and Deep Locality - Preserving Learning for Unconstrained Facial Expression Recognition,.

A Multimodal Emotion Recognition System: Integrating Facial Expressions, Body Movement, Speech, and Spoken Language Reliable Crowdsourcing and Deep Locality - Preserving Learning for Unconstrained Facial Expression Recognition,

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-11T05:12:52.944264Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T05:12:52.944264Z digest=sha256:faaaf96a669149d3d0e50fd76b1642c26c796e0549f5960a2c025bb059215ebc

Observation 398b7574-f1be-4b06-9642-df27b320b752 · outbound

This paper cites The Extended Cohn -Kanade Dataset (CK+): A complete dataset for action unit and emotion -specified expression,.

A Multimodal Emotion Recognition System: Integrating Facial Expressions, Body Movement, Speech, and Spoken Language The Extended Cohn -Kanade Dataset (CK+): A complete dataset for action unit and emotion -specified expression,

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-11T05:12:52.947926Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T05:12:52.947926Z digest=sha256:3e254fec4729ca2458bc265ad9502bed19b01a8fe58aa6886388df68dfc8547d

Observation 71f4d74f-d433-4c16-9453-9c0ac636019b · outbound

This paper cites OpenCV: Open Source Computer Vision Library,.

A Multimodal Emotion Recognition System: Integrating Facial Expressions, Body Movement, Speech, and Spoken Language OpenCV: Open Source Computer Vision Library,

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T05:12:54.779326Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T05:12:52.951409Z digest=sha256:75d93362d992409750ba3ed5df6d98207ce2964c5c282297be87b4616df1fe73

Observation f17bb3a2-a29f-4358-991e-364a28910787 · outbound

This paper cites TensorFlow: An open -source machine learning framework,.

A Multimodal Emotion Recognition System: Integrating Facial Expressions, Body Movement, Speech, and Spoken Language TensorFlow: An open -source machine learning framework,

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T05:12:54.766473Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T05:12:52.955788Z digest=sha256:d94266cef0c33fbb476b8a7ba90022e894b683cde0182c53dfdf145693718c35

Observation d64508d2-800e-4911-b201-9021a0036327 · outbound

This paper cites dlib: A toolkit for machine learning,.

A Multimodal Emotion Recognition System: Integrating Facial Expressions, Body Movement, Speech, and Spoken Language dlib: A toolkit for machine learning,

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T05:12:54.753676Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T05:12:52.959589Z digest=sha256:41056cbf17287b3afe1d702b1c281d00df0a0f1cc6b16fdafe866e6dc4c40242

Observation 883a0015-19d2-4ed2-95fa-6c4974eafd49 · outbound

This paper cites MediaPipe’s pose estimation model,.

A Multimodal Emotion Recognition System: Integrating Facial Expressions, Body Movement, Speech, and Spoken Language MediaPipe’s pose estimation model,

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T05:12:54.740680Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T05:12:52.963089Z digest=sha256:88856e386d3cfb57e53f9f297b3104593cd47cb4dbbf9b837188eecb25b87e7c

Observation b3346239-5900-4e00-a4cf-af80cdc48d33 · outbound

This paper cites CREMA -D: Crowd -Sourced Emotional Multimodal Actors Dataset,.

A Multimodal Emotion Recognition System: Integrating Facial Expressions, Body Movement, Speech, and Spoken Language CREMA -D: Crowd -Sourced Emotional Multimodal Actors Dataset,

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-11T05:12:52.967894Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T05:12:52.967894Z digest=sha256:b74123ddb6518101105a35f4d36686d306f632306e6190f3e4ea8211378e2ab3

Observation d88a1c60-ce1e-4d28-8e12-35d2aa3cc153 · outbound

This paper cites The Ryerson Audio -Visual Database of Emotional Speech and Song (RAVDESS): A dynamic, multimodal set of facial and vocal expressions in North American English,.

A Multimodal Emotion Recognition System: Integrating Facial Expressions, Body Movement, Speech, and Spoken Language The Ryerson Audio -Visual Database of Emotional Speech and Song (RAVDESS): A dynamic, multimodal set of facial and vocal expressions in North American English,

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-11T05:12:52.972006Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T05:12:52.972006Z digest=sha256:042945df0da16bb1876e4b0ccda5b573626575afe11d3ad5f4bf713ebfcba050

Observation 735aa473-34d9-40f2-95f6-5ee05168211c · outbound

This paper cites Surrey Audio -Visual Expressed Emotion (SAVEE) Database,.

A Multimodal Emotion Recognition System: Integrating Facial Expressions, Body Movement, Speech, and Spoken Language Surrey Audio -Visual Expressed Emotion (SAVEE) Database,

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T05:12:54.728391Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T05:12:52.975647Z digest=sha256:779f995f16c45c0862e83cd727c6bdac894277db3bf5fea2daae8cc004da849d

Observation 034c815e-3b9c-49f3-a0c0-33febe6d9e3a · outbound

This paper cites Toronto Emotional Speech Set (TESS),.

A Multimodal Emotion Recognition System: Integrating Facial Expressions, Body Movement, Speech, and Spoken Language Toronto Emotional Speech Set (TESS),

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T05:12:54.716198Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T05:12:52.978946Z digest=sha256:9de4b714c3973c6927257f7737ae03de3db0162ddb04018de0cb118aac26b7a8

Observation fb252cb0-c5b7-4a0c-ba12-2a8112fabda3 · outbound

This paper cites Emotional voice conversion: theory, databases, and ESD,.

A Multimodal Emotion Recognition System: Integrating Facial Expressions, Body Movement, Speech, and Spoken Language Emotional voice conversion: theory, databases, and ESD,

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T05:12:54.703060Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T05:12:52.982464Z digest=sha256:b71bc5ef0c3d4e8d9d91f194e93fcdab98c2dd843c40404acbefc30b0eda1523

Observation 5904aa00-bc7c-4858-b98d-3e9e525ae597 · outbound

This paper cites Seen and Unseen Emotional Style Transfer for Voice Conversion with A New Emotional Speech Dataset,.

A Multimodal Emotion Recognition System: Integrating Facial Expressions, Body Movement, Speech, and Spoken Language Seen and Unseen Emotional Style Transfer for Voice Conversion with A New Emotional Speech Dataset,

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-11T05:12:52.986715Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T05:12:52.986715Z digest=sha256:6fed65561f0e778992e23f2400fddba22a38275d74babf950a3761494a050479

Observation 12cea9fd-67f3-4647-af60-348bbcd54ca7 · outbound

This paper cites MELD: A multimodal multi -party dataset for emotion recognition in conversation,.

A Multimodal Emotion Recognition System: Integrating Facial Expressions, Body Movement, Speech, and Spoken Language MELD: A multimodal multi -party dataset for emotion recognition in conversation,

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T05:12:54.689116Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T05:12:52.990763Z digest=sha256:758a0eeb34d153851ddea0d899ebc723d95e90031c4e8b9eeb2097a018e28287

Observation 493c758b-e5f5-4c5b-8dcc-55696891b75e · outbound

This paper cites EmotionLines: An Emotion Corpus of Multi-Party Conversations.

A Multimodal Emotion Recognition System: Integrating Facial Expressions, Body Movement, Speech, and Spoken Language EmotionLines: An Emotion Corpus of Multi-Party Conversations

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-11T05:12:52.994479Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T05:12:52.994479Z digest=sha256:704bf893ce8ccfb039df23c50db0a88b96e1ae325a05850402858af09ec00595

Observation 2ce4cc61-84e7-48cb-8078-0f410d9d9e05 · outbound

This paper cites GoEmotions: A dataset of fine -grained emotions,.

A Multimodal Emotion Recognition System: Integrating Facial Expressions, Body Movement, Speech, and Spoken Language GoEmotions: A dataset of fine -grained emotions,

Reference 52

Resolution
verified exact
doi, observed 2026-08-11T05:12:53.145179Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T05:12:52.999466Z digest=sha256:a33d182c2320376132a452f2d2a2c9092787a46f81a0d8ed47c93f7220e8d599

Observation e3b84d1a-39c6-4c2a-96a0-f74c7a80d7fb · outbound

This paper cites Emotion dataset for NLP tutorial,.

A Multimodal Emotion Recognition System: Integrating Facial Expressions, Body Movement, Speech, and Spoken Language Emotion dataset for NLP tutorial,

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T05:12:54.676110Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T05:12:53.003160Z digest=sha256:905648d757d248041a29c2c701e6b0b2d6b8eb10bcc2709818f5ce6cbfbce71b

Observation 994ae0b0-42d1-4064-81f7-bca0dc236dc9 · outbound

This paper cites Emotions,.

A Multimodal Emotion Recognition System: Integrating Facial Expressions, Body Movement, Speech, and Spoken Language Emotions,

Reference 54

Resolution
verified exact
raw_fallback, observed 2026-08-11T05:12:53.411828Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T05:12:53.006725Z digest=sha256:26b5cfc30e764c7d6c1cffc0bf47ab5393dad19fc177d9dd0de6f88a36dc1c5e

Observation a36e844a-ec4e-48bb-be07-0769f1117d8e · outbound

This paper cites Twitter sentiment classification using distant supervision,.

A Multimodal Emotion Recognition System: Integrating Facial Expressions, Body Movement, Speech, and Spoken Language Twitter sentiment classification using distant supervision,

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T05:12:54.662514Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T05:12:53.010228Z digest=sha256:e25518abe71bacada83f0811d40e05b6b59fa63b44665af143db7405ae2b6a88

Observation 110da178-2122-4aab-912d-281b14475850 · outbound

This paper cites Whisper: A general -purpose speech recognition model,.

A Multimodal Emotion Recognition System: Integrating Facial Expressions, Body Movement, Speech, and Spoken Language Whisper: A general -purpose speech recognition model,

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T05:12:54.649262Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T05:12:53.013701Z digest=sha256:a3256a0ea38c0893d0a766059aeb369917f642903491d3ddbd9078e7bab1ef31

Observation 3d1cac26-fea9-49b2-9cd0-500b71bb7c80 · outbound

This paper cites Available: https://github.com/kraack - tech/multimodal_emotion_detection.

A Multimodal Emotion Recognition System: Integrating Facial Expressions, Body Movement, Speech, and Spoken Language Available: https://github.com/kraack - tech/multimodal_emotion_detection

Reference 2024

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T05:12:54.802756Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T05:12:52.898882Z digest=sha256:bf53e48036e18e8f27cd10ac5cfa55e753aff96278973ba1b767d1be89a81555

Pith citing papers

Observation 7e3d44f3-749d-4caf-b5fe-1aa07dfccaa6 · inbound

BAH Dataset for Ambivalence/Hesitancy Recognition in Videos for Digital Behavioural Change cites this paper.

BAH Dataset for Ambivalence/Hesitancy Recognition in Videos for Digital Behavioural Change A Multimodal Emotion Recognition System: Integrating Facial Expressions, Body Movement, Speech, and Spoken Language

Reference 46

Resolution
verified exact
arxiv_id, observed 2026-05-19T13:12:18.332119Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-19T13:09:00.732889Z digest=sha256:c3dc9b58e81d3c79639a58a44ec728dc08a3b79983ce5193956fb2e4f566c60c

Observation a7185d3c-2719-40ec-af3e-1e41b9d5cc24 · inbound

Multimodal Ambivalence/Hesitancy Recognition in Videos for Personalized Digital Health Interventions cites this paper.

Multimodal Ambivalence/Hesitancy Recognition in Videos for Personalized Digital Health Interventions A Multimodal Emotion Recognition System: Integrating Facial Expressions, Body Movement, Speech, and Spoken Language

Reference 43

Resolution
verified exact
arxiv_id, observed 2026-05-11T09:31:01.351126Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-10T16:00:30.811772Z digest=sha256:9422bcf638e489f3b55330b40fcce3ebd00953823c0b781b3ce554d51050a9b1