Falls are unusual actions that cause a significant health risk among older people. The
growing percentage of people of old age requires urgent development of fall detection and …

Background Despite being available for more than three decades, quantitative gait analysis
remains largely associated with research institutions and not well leveraged in clinical …

Human activity recognition (HAR) plays a pivotal role in various domains, including
healthcare, sports, robotics, and security. With the growing popularity of wearable devices …

Advancements in smartphone sensor technologies have significantly enriched the field of
human activity recognition, facilitating a wide array of applications from health monitoring to …

Human gait is a periodic motion of body segments—the analysis of motion and related
studies is termed gait analysis. Gait Analysis has gained much popularity because of its …

The aim of this study was to determine which supervised machine learning (ML) algorithm
can most accurately classify people with Parkinson's disease (pwPD) from speed-matched …

In this study, we review the role of wearable devices in tracking our daily locomotion. We
discuss types of wearable devices that can be used, methods for gait analyses, and multiple …

Gait analysis is crucial for the detection and management of various neurological and
musculoskeletal disorders. The identification of gait events is valuable for enhancing gait …

Biosignals of diverse body posture contain a key information about the physiological,
kinesiological, and anatomical status of human body that can facilitate in early assessing the …

Yoga has been a great form of physical activity and one of the promising applications in
personal health care. Several studies prove that yoga is used as one of the physical …