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

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 …

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

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 …

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

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 …

The current gold standard for gait analysis involves performing the gait experiments in a
laboratory environment with a constrained space. However, there is growing interest in …

Training to run is not straightforward since without proper personalised supervision and
planning, people will not improve their performance and will increase the risk of injuries …