Temporal Facial Features for Depression Screening

Author:

Flores Ricardo1ORCID,Tlachac M. L.2ORCID,Shrestha Avantika1ORCID,Rundensteiner Elke3ORCID

Affiliation:

1. Data Science, Worcester Polytechnic Institute, United States

2. Information Systems and Analytics, Bryant University, United States

3. Computer Science/DAISY Lab, Worcester Polytechnic Institute, United States

Funder

National Agency for Research and Development (ANID)

U.S. Department of Education

AFRI Grant

Fulbright Foreign Student Program

Publisher

ACM

Reference38 articles.

1. Eye movement analysis for depression detection

2. Head Pose and Movement Analysis as an Indicator of Depression

3. Tadas Baltrušaitis , Peter Robinson , and L Morency . 2016. Openface: an open source facial behavior analysis toolkit . In IEEE WACV. 1–10. Tadas Baltrušaitis, Peter Robinson, and L Morency. 2016. Openface: an open source facial behavior analysis toolkit. In IEEE WACV. 1–10.

4. Hélio Clemente Cuve Santiago Castiello Brook Shiferaw Eri Ichijo Caroline Catmur and Geoffrey Bird. 2021. Alexithymia explains atypical spatiotemporal dynamics of eye gaze in autism. Cognition 212(2021). Hélio Clemente Cuve Santiago Castiello Brook Shiferaw Eri Ichijo Caroline Catmur and Geoffrey Bird. 2021. Alexithymia explains atypical spatiotemporal dynamics of eye gaze in autism. Cognition 212(2021).

5. Mark É Czeisler , Rashon  I Lane , Emiko Petrosky , Joshua  F Wiley , Aleta Christensen , Rashid Njai , Matthew  D Weaver , Rebecca Robbins , Elise  R Facer-Childs 2020. Mental health, substance use, and suicidal ideation during the COVID-19 pandemic—United States , June 24–30 , 2020 . Morbidity and Mortality Weekly Report 69, 32 (2020). Mark É Czeisler, Rashon I Lane, Emiko Petrosky, Joshua F Wiley, Aleta Christensen, Rashid Njai, Matthew D Weaver, Rebecca Robbins, Elise R Facer-Childs 2020. Mental health, substance use, and suicidal ideation during the COVID-19 pandemic—United States, June 24–30, 2020. Morbidity and Mortality Weekly Report 69, 32 (2020).

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1. Symptom Detection with Text Message Log Distributions for Holistic Depression and Anxiety Screening;Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies;2024-03-06

2. Multimodal Depression Detection Network Based on Emotional and Behavioral Features in Conversations;Communications in Computer and Information Science;2024

3. Multi-Task Learning Using Facial Features for Mental Health Screening;2023 IEEE International Conference on Big Data (BigData);2023-12-15

4. DeepScreen: Boosting Depression Screening Performance with an Auxiliary Task;2023 IEEE International Conference on Big Data (BigData);2023-12-15

5. Wearable Wellness: Depression Screening via Fitbit Data Collected During COVID-19 Pandemic;2023 IEEE MIT Undergraduate Research Technology Conference (URTC);2023-10-06

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