Review of eye tracking metrics involved in emotional and cognitive processes

V Skaramagkas, G Giannakakis… - IEEE Reviews in …, 2021 - ieeexplore.ieee.org
Eye behaviour provides valuable information revealing one's higher cognitive functions and
state of affect. Although eye tracking is gaining ground in the research community, it is not …

Deep learning for depression recognition with audiovisual cues: A review

L He, M Niu, P Tiwari, P Marttinen, R Su, J Jiang… - Information …, 2022 - Elsevier
With the acceleration of the pace of work and life, people are facing more and more
pressure, which increases the probability of suffering from depression. However, many …

Self-trained deep ordinal regression for end-to-end video anomaly detection

G Pang, C Yan, C Shen, A Hengel… - Proceedings of the …, 2020 - openaccess.thecvf.com
Video anomaly detection is of critical practical importance to a variety of real applications
because it allows human attention to be focused on events that are likely to be of interest, in …

A review of depression and suicide risk assessment using speech analysis

N Cummins, S Scherer, J Krajewski, S Schnieder… - Speech …, 2015 - Elsevier
This paper is the first review into the automatic analysis of speech for use as an objective
predictor of depression and suicidality. Both conditions are major public health concerns; …

Transformer-based multimodal feature enhancement networks for multimodal depression detection integrating video, audio and remote photoplethysmograph signals

H Fan, X Zhang, Y Xu, J Fang, S Zhang, X Zhao, J Yu - Information Fusion, 2024 - Elsevier
Depression stands as one of the most widespread psychological disorders and has
garnered increasing attention. Currently, how to effectively achieve automatic multimodal …

Automatic assessment of depression based on visual cues: A systematic review

A Pampouchidou, PG Simos, K Marias… - IEEE Transactions …, 2017 - ieeexplore.ieee.org
Automatic depression assessment based on visual cues is a rapidly growing research
domain. The present exhaustive review of existing approaches as reported in over sixty …

Automated depression diagnosis based on deep networks to encode facial appearance and dynamics

Y Zhu, Y Shang, Z Shao, G Guo - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
As a severe psychiatric disorder disease, depression is a state of low mood and aversion to
activity, which prevents a person from functioning normally in both work and daily lives. The …

A clinical-oriented non-severe depression diagnosis method based on cognitive behavior of emotional conflict

M Li, J Zhang, J Song, Z Li, S Lu - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
To improve the diagnosis accuracy of non-severe depression (NSD), this article proposes a
diagnosis method of NSD based on cognitive behavior of emotional conflict. First, the …

What does your gaze reveal about you? On the privacy implications of eye tracking

JL Kröger, OHM Lutz, F Müller - … Summer School on Privacy and Identity …, 2020 - Springer
Technologies to measure gaze direction and pupil reactivity have become efficient, cheap,
and compact and are finding increasing use in many fields, including gaming, marketing …

Dynamic multimodal measurement of depression severity using deep autoencoding

H Dibeklioğlu, Z Hammal… - IEEE journal of biomedical …, 2017 - ieeexplore.ieee.org
Depression is one of the most common psychiatric disorders worldwide, with over 350
million people affected. Current methods to screen for and assess depression depend …