2021 IEEE International Conference on Acoustics, Speech and Signal Processing

6-11 June 2021 • Toronto, Ontario, Canada

Extracting Knowledge from Information

2021 IEEE International Conference on Acoustics, Speech and Signal Processing

6-11 June 2021 • Toronto, Ontario, Canada

Extracting Knowledge from Information

Technical Program

Paper Detail

Paper IDASPS-5.1
Paper Title DEPRESSION DETECTION BY ANALYSING EYE MOVEMENTS ON EMOTIONAL IMAGES
Authors Ruizhe Shen, Qi Zhan, Yu Wang, Tsinghua University, China; Huimin Ma, University of Science and Technology Beijing, China
SessionASPS-5: Audio & Images
LocationGather.Town
Session Time:Thursday, 10 June, 16:30 - 17:15
Presentation Time:Thursday, 10 June, 16:30 - 17:15
Presentation Poster
Topic Applied Signal Processing Systems: Emerging Topics [OTH-EMRG]
IEEE Xplore Open Preview  Click here to view in IEEE Xplore
Virtual Presentation  Click here to watch in the Virtual Conference
Abstract To achieve an objective and efficient depression detection system, we propose a cognitive psychology experimental paradigm based on the attentional bias theory and eye movements in this paper. We select images of three different emotions (positive, neutral, and negative) as experimental stimulus. Comparing with the traditional free viewing paradigm, the paradigm we proposed adds a stage of frame tracking to analyse the process of attention disengagement. Based on extracted psychological features from eye movement data, we train a mental state classifier of Support Vector Machine to classify people with depression and normal controls, and the model achieves 77.0% of accuracy, which achieve state-of-the-art under the same data condition. Our model is interpretable and our results demonstrate the theory of attention bias.