2 citations · 2 across the 5 of their papers we have counts for
5 papers
A Frequency-aware Augmentation Network for Mental Disorders Assessment from Audio
Shuanglin Li, Siyang Song, Rajesh Nair +1
Depression and Attention Deficit Hyperactivity Disorder (ADHD) stand out as the common mental health challenges today. In affective computing, speech signals serve as effective bio…
Efficient Long Speech Sequence Modelling for Time-Domain Depression Level Estimation
Shuanglin Li, Zhijie Xie, Syed Mohsen Naqvi
Depression significantly affects emotions, thoughts, and daily activities. Recent research indicates that speech signals contain vital cues about depression, sparking interest in a…
ADHD diagnosis based on action characteristics recorded in videos using machine learning
Yichun Li, Syes Mohsen Naqvi, Rajesh Nair
Demand for ADHD diagnosis and treatment is increasing significantly and the existing services are unable to meet the demand in a timely manner. In this work, we introduce a novel a…
A Novel Audio-Visual Information Fusion System for Mental Disorders Detection
Yichun Li, Shuanglin Li, Syed Mohsen Naqvi
Mental disorders are among the foremost contributors to the global healthcare challenge. Research indicates that timely diagnosis and intervention are vital in treating various men…
Learning with Noisy Labels for Human Fall Events Classification: Joint Cooperative Training with Trinity Networks
Leiyu Xie, Yang Sun, Syed Mohsen Naqvi
With the increasing ageing population, fall events classification has drawn much research attention. In the development of deep learning, the quality of data labels is crucial. Mos…