Pith. sign in

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=sha256:909c32188fcacf68b11cdf79f5d43d3f727406af87b148d8c9e19da17b2b1b1a

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=sha256:7611a733cfecc990a949f04b46cbbf0054e119069e150fd53d7c5730e4799c9c

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:b2fe0e63b5fde15880834dabc47e40ab8c211106a7fa0f3990db015790ca80af

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=sha256:9dff453931308bcc0fcb93fc0c06d14b3379af26c4229d25be95f98c2a6eeb5f

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:b7765ed64a41cdcc96a7b7b077622dff945e882198611fde2589489d4ec5bf8d

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:fc62b4603bc47893f2173405ac599c90cc53ea8289a362d23131c73ba5de26b0

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=sha256:285a171e021d0dbfa9f3a92aaf1404c2afad76104f7f2d28324817314ef23903

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=sha256:3a02ac1e6c4e06e169f2c446af8db67675dc3ce1c9d5515fcbed868f3afed6ee

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=sha256:4d92e19a059cee5c79bdad741feb77558cc303bab9fdb1d75f750ca878f6bf02

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=sha256:36bc1a2fc4fa0ab4c68fd16716dcb9340e1a3a42b8ceab7a4a5f3e65e874639e

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=sha256:6e82ec2565ec1104132d4aa9553f88fb85d6cb4fe0c69e877dc3d3e28dd34c0a

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=sha256:81cfd07f528a1bd2e4be654292513a384a4cc59c593529cdd45efda7c36ced86

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=sha256:5962b89058746b47d3bdc7f3f0efd793876f41bcff23d205409e4afae4ca8804

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:cf7bd302179eadab3fde0994b01031aa17e66f259a3be8c054b9c2822353dde8

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:ef1b7d9cfec4d3b98309d07a714ca52505fd20ccb9b4e9eb301d1eb61107582f

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=sha256:2deed1f14322a1ba650b3f660d30f7381b734c48afd3742206ad8b40b24f1b1a

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=sha256:79533f82dd7c7e7a5672813ac71093c0f1c61aa501328fd7e8d8f19a89495787

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=sha256:57041842723935aa97dc76a984dbfd1a754ecbba9e7cb128c8e118f4c19f67b3

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=sha256:3bb84740df4bc6ebe3b2cd77d00c5877cc21114739be2b7323ad12350538db98

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=sha256:85f8204c05dbbdd65535b1bda487613c17b2b9ebd42c794a12827d80c7a0f383

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=sha256:7cc58010317a895e50f4ccbe145eddf01ddeee42ecc7dbc384e3937824bac571

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=sha256:234c6236852185e7ffef9ccb1c7d2330008d995d14281b2692f2dbd85f1b5e63

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=sha256:32a298bb22f5ac14135fd853674c43c53f12869c665fbeab66710ebcb7e33f30

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=sha256:8c5e4a0d25cff2732ec6568c021d6a9521b1b6f0aed3dfb26ecc8f76ea1b5b3e

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:e73235b5bdd8ad820852d583b2d56fb679d1fcc90cd01f627f1cb1515546fb9d

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:da6080df383ebf2b7576a61b42b8360a07611dbb675138baaf5bbce677e55df2

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=sha256:45566929ec1dafa36fca200a81a669dbadaa964ef2934f9b020fd2e9aab4a4e6

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:a4b755ed687108b62a9dc5b0f5b732b50c033e2c6ae27db4636f36f9b1e5877d

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=sha256:1ea2b0903c9b9412657a12309eeda64783f86273e61bd32265e0fdd11268857e

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=sha256:0bf13b12e551e89381e8457ee5087142767b45a0707f2c2bba6b9f4383cfab7e

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=sha256:2957b70a1e96f605e10332bbbafa63a5b8657e193e465c531d5e2089eb390056

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:e3b9f710e471d660ac79748ca9fc167795920b7bbfbc2ffa935b3380b5af951e

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:b1e6176c6dd19753d15c7e87d6a422fd0f7b8c34144be2faefb0d40b22080ee7

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=sha256:247e9690c849dfec4f6dbf70b13914f2b0f50ae803d7b0089999f3630cdb5e93

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:e56ac1e1fc5a17fd8451fc14c995ce9fc4d49a0b9011a644ddbbc62f175c5054

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=sha256:2ca70057183b4fb13a4d216232cdaac6f0fe7f5aec1f82536d2783aa7dbd2ce5

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=sha256:7a310658a8404f9be230e8ac3254992d017dc7fc21aa75e2a6dd59dc501b5b96

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:efd04d6719ff8167f31f03ea6e27f43ccc21bc89294d07c62b5a6a2fcb0b6f79

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=sha256:129186f7301ec6adf299af1668b1585053f2690f07c165be0aa51edd6f0e1d14

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=sha256:311bcade1d388a762d6592c80caf1fe7b2aa325610e66b519559e1b8f2852d97

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=sha256:23694652d3f7df229fb0eef510b65da0f60c08bfb8708742943ce6e0905ed1fa

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:f7108d3a5bcd10963ddc5e175a45929ffd63cc43097aed7286e784c74056d772

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=sha256:6c5610a4c0eee3d1ffa7fa9e716c399d71d4aff06a38557f38305a16e76c9c55

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=sha256:2b2cca5fd0e81240c6d4516dd0d8de1ca5f56b8dde60f5f6fde2a0e49ef991e6

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:f20cb8a09ecd6905b5da176d7a8073b056cf8f59fe37256d6558e0f0dae7e3a5

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=sha256:3c0ec15f778eac21f55b50b4d7b4f89f7920ef63ed7043bd0c228968287bec3a

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=sha256:30c1d29150d4e43615853af1a5c110019cbd061729d555b981f43c165273fada

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:d83e16caece81e7cf62e629264d869cc19b343153155e3f06841188277a741d1

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:ce8d3309b35795347b5f1d83eaab37ab48cb7cdb4d3bb1648c330f893e90022b

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:d99ebd35e9e38a50099f997c59e85a8603739568983d09d1a5149f591a269bca

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:c95bf82d077144669285e0a2c2f9dd234e529597924b1479c043e646ebca6b52

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=sha256:48cc3c77963efd970637de38449ee2f74e983df3b6253142cea51ac3bda99f8b

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=sha256:2de78503ab89e4a85ecd98fe432e764b04f4cae52e090e8a76bb4b202ce99931

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:b79afdbc37bb97cbc10840784a878a2b0d2b4aef6a63af333c419d9cde0caf80

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=sha256:24ccd3579920b660443f7d5f302efe211ef2dcf79fcdb188d2923e8610e621d8

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=sha256:4ce19a4544bd0f0eac4d5597c449aafafcfbd4028ee669d6c15bda27476b0f5c

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=sha256:98f624d10f211e933f5c6e414683f281389f0829358f8645ca670b1e66b9e672

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:c6aeb22e096727a110fc448e57c85861996af5059a49c07c86e5cdf74d233694

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=sha256:93336c69406a8952e21feee1f1d099358c22293b89e5d7a685d20c114a517760