We propose an automatic method to measure depression severity from body movement
dynamics in participants undergoing treatment for depression. Participants in a clinical trial …

Due to our present lifestyle, frequent mood swings and unpredictability are common things
for every human. People are often stressed and a positive outlook to be optimistic toward life …

Depression is a common mental disorder and one of the main causes of disease burden
worldwide. Several studies in depression address the relation between non-verbal cues and …

Background Patient-generated health data (PGHD) captured via smart devices or digital
health technologies can reflect an individual health journey. PGHD enables tracking and …

Background. Through real-time behavioral observation systems, pain behaviors are
commonly used by clinicians to estimate pain intensity in patients with low back pain …

Early detection of depression symptoms is fundamental to limit the onset of further
associated behavioural disorders, such as psychomotor or social withdrawal. The …

This proof-of-concept study aimed to assess the ability of a mobile application and cloud
analytics software solution to extract facial expression information from participant selfie …

In this day and age, Artificial Intelligence has crept into every domain of work. It is only fitting
that it be made a part of the medical domain as well. With the vast amount of healthcare data …

Humans are arguably innately prepared to comprehend others' emotional expressions from
subtle body movements. If robots or computers can be empowered with this capability, a …

Pain is what anyone would experience, regardless of age or gender. Facial pain tracking
technology is a successful tool since it is user-friendly with high precision. Auto pain …