Explainable Depression Detection via Head Motion Patterns-Reference-Cited by-同舟云学术

Explainable Depression Detection via Head Motion Patterns

Published:2023-10-09 Issue: Volume: Page:
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Container-title:INTERNATIONAL CONFERENCE ON MULTIMODAL INTERACTION
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Author:

Gahalawat Monika¹^ORCID,Fernandez Rojas Raul¹^ORCID,Guha Tanaya²^ORCID,Subramanian Ramanathan¹^ORCID,Goecke Roland³^ORCID

Affiliation:

1. Faculty of Science and Technology, University of Canberra, Australia

2. School of Computing Science, University of Glasgow, United Kingdom

3. Human-Centred Technology Research Centre, University of Canberra, Australia

Funder

Australian Research Council?s Discovery Projects

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3577190.3614130

Reference46 articles.

1. Depression and anorexia detection in social media as a one-class classification problem

2. Sarmad Al-gawwam and Mohammed Benaissa . 2018 . Depression Detection From Eye Blink Features. In 2018 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT). IEEE, 388–392 . https://doi.org/10.1109/ISSPIT.2018.8642682 10.1109/ISSPIT.2018.8642682 Sarmad Al-gawwam and Mohammed Benaissa. 2018. Depression Detection From Eye Blink Features. In 2018 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT). IEEE, 388–392. https://doi.org/10.1109/ISSPIT.2018.8642682

3. Interpretation of Depression Detection Models via Feature Selection Methods

4. Cross-cultural detection of depression from nonverbal behaviour

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

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