Detecting Depression in Less Than 10 Seconds-Reference-Cited by-同舟云学术

Detecting Depression in Less Than 10 Seconds

Published:2020-10-21 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2020 International Conference on Multimodal Interaction
language:
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Author:

Aloshban Nujud¹,Esposito Anna²,Vinciarelli Alessandro¹

Affiliation:

1. University of Glasgow, Glasgow, Scotland, United Kingdom

2. Universitá della Campania "Luigi Vanvitelli," Caserta, Italy

Funder

UKRI

EPSRC

V:ALERE 2019

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3382507.3418875

Reference45 articles.

1. M. Al Jazaery and G. Guo. 2019. Video-based depression level analysis by encoding deep spatiotemporal features. IEEE Transactions on Affective Computing (to appear) (2019). M. Al Jazaery and G. Guo. 2019. Video-based depression level analysis by encoding deep spatiotemporal features. IEEE Transactions on Affective Computing (to appear) (2019).

2. Multimodal Depression Detection: Fusion Analysis of Paralinguistic, Head Pose and Eye Gaze Behaviors

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