Parkinson's disease (PD) is characterized by the loss of neuronal cells, which leads to
synaptic dysfunction and cognitive defects. Despite the advancements in treatment …

The high prevalence of depression among college students has a strong negative impact on
individual physical and mental health, academic development, and interpersonal …

We performed an electronic database search of published works from 2012 to mid-2021 that
focus on human gait studies and apply machine learning techniques. We identified six key …

Background Psychomotor retardation has long been recognized as a major feature of
depression, and anxiety disorders have been linked with freeze and flight motor responses …

Objective To evaluate the comprehensive prevalence of anxiety among postgraduates and
estimate its changes with a meta‐analysis. Method Systematic retrieval to SAGE, ERIC …

As a long-standing research topic in the field of brain–computer interface, emotion
recognition still suffers from low recognition accuracy. In this research, we present a novel …

As depression becomes more commonplace in society, the timely and effective detection of
the signs of depression for its prevention and early treatment becomes more important. Gait …

Gait and posture studies have gained much prominence among researchers and have
attracted the interest of clinicians. The ability to detect gait abnormality and posture disorder …

Psychological trait estimation from external factors such as movement and appearance is a
challenging and long-standing problem in psychology, and is principally based on the …

To review the recent progress of machine learning for the early diagnosis of depression
(major depressive disorder). The source of data was 32 original studies in the Web of …