Background Rates of suicide and self-harm are elevated in carceral institutions. Inmates are
a vulnerable group since they are exposed to multiple risk factors. This paper critically …

Computer Vision (CV) classifiers which distinguish and detect nonverbal social human
behavior and mental state can aid digital diagnostics and therapeutics for psychiatry and the …

Understanding human behaviours through video analysis has seen significant research
progress in recent years with the advancement of deep learning. This topic is of great …

Suicide by hanging is a sentinel event and a major cause of death in prisons, with an
increasing frequency over recent years. The rapid detection of suicidal behavior can reduce …

Despite advances in theory and the development and implementation of evidence-based
treatments, the United States suicide rate has been rising continuously for over a decade …

Background: Suicide is a recognized public health issue, with approximately 800,000
people dying by suicide each year. Among the different technologies used in suicide …

Inmate suicide by hanging is documented as a major cause of death in prisons. Important
efforts have been made to develop technological prevention tools, but the proposed …

A novel background subtraction approach using an RGB-D camera and an adaptive blind
updating policy is introduced. This method in the initialization creates a model to store …

We propose a region-based trajectory analysis method to detect abnormal activities in a
scene. It provides a self-adapted, location-sensitive and interpretable trajectory analysis …

Inmates in solitary confinement may attempt to harm themselves in many ways, resulting in
trivial to mortal injuries. In this context, suicide by hanging is one of the major causes of …