MoodCapture: Depression Detection using In-the-Wild Smartphone Images-Reference-Cited by-同舟云学术

MoodCapture: Depression Detection using In-the-Wild Smartphone Images

Published:2024-05-11 Issue: Volume:15 Page:1-18
ISSN:
Container-title:Proceedings of the CHI Conference on Human Factors in Computing Systems
language:
Short-container-title:

Author:

Nepal Subigya¹^ORCID,Pillai Arvind¹^ORCID,Wang Weichen¹^ORCID,Griffin Tess¹^ORCID,Collins Amanda C²^ORCID,Heinz Michael¹^ORCID,Lekkas Damien³^ORCID,Mirjafari Shayan¹^ORCID,Nemesure Matthew⁴^ORCID,Price George²^ORCID,Jacobson Nicholas¹^ORCID,Campbell Andrew¹^ORCID

Affiliation:

1. Dartmouth College, United States

2. Quantitative Biomedical Sciences, Dartmouth College, United States

3. Center for Technology and Behavioral Health, Dartmouth College Geisel School of Medicine, United States

4. Quantitative Biomedical Scienes, Dartmouth College, United States

Funder

National Institute of Mental Health (NIMH)

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3613904.3642680

Reference79 articles.

1. Factors associated with depression among young people globally: a narrative review

2. Left vs. Right-Handed UX: A Comparative User Study on a Mobile Application with Left and Right-Handed Users

3. Quantification of Users' Visual Attention During Everyday Mobile Device Interactions

4. Cross-dataset learning and person-specific normalisation for automatic Action Unit detection

5. Constrained Local Neural Fields for Robust Facial Landmark Detection in the Wild

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. PupilSense: Detection of Depressive Episodes through Pupillary Response in the Wild;2024 International Conference on Activity and Behavior Computing (ABC);2024-05-29