The production of electronic waste, also known as e-waste, has risen with the growing
reliance on electronic products. To reduce negative environmental impact and achieve …

Observations from laboratory-based gait analysis are difficult to extrapolate to real-world
environments where gait behavior is modulated in response to complex environmental …

Background Falls in older adults are a critical public health problem. As a means to assess
fall risks, free-living digital biomarkers (FLDBs), including spatiotemporal gait measures …

Automatic gait analysis in free‐living environments using inertial sensors requires
individualized approach as local acceleration and velocity profiles vary with the walker and …

A decrease in dynamic balance ability (DBA) in the elderly is closely associated with aging.
Various studies have investigated different methods to quantify the DBA in the elderly …

Fall risk assessment (FRA) helps clinicians make decisions about the best preventative
measures to lower the risk of falls by identifying the different risks that are specific to an …

Human activity recognition (HAR) has attracted considerable research attention in the past
decade with the development of wearable sensor technology and deep learning algorithms …

Gait data collection from overweight individuals walking on irregular surfaces is a
challenging task that can be addressed using inertial measurement unit (IMU) sensors …

Determinants of technology acceptance are multifaceted, particularly for artificial intelligence
(AI) in healthcare. Using AI might impact users' cognitive workload and situation awareness …

A wearable face-touching prevention device intended for diminishing the contagion risk from
viruses and other pathogens has been developed, named wristalert. The purpose is to …