Wearable sensors for activity monitoring currently are being designed and developed,
driven by an increasing demand in health care for noninvasive patient monitoring and …

Purpose To (1) characterize the various forms of wearable sensor devices (WSDs) and (2)
review the peer-reviewed literature of applied wearable technology within sports medicine …

Human activity recognition (HAR) has increased in recent years due to its applications in
mobile health monitoring, activity recognition, and patient rehabilitation. The typical …

Due to the advancement of wearables and the Internet of Things (IoT), end-users are using a
range of wearables, such as smartwatches, fitness bands, and smart glasses, to receive a …

Recent advances in machine learning algorithms (ML) and low-power edge devices enable
novel wearable applications. Embedded machine learning organically combines these …

Human activity recognition (HAR) and, more broadly, activities of daily life recognition using
wearable devices have the potential to transform a number of applications, including mobile …

Motion energy harvesting is an ideal alternative to battery in wearable applications since it
can produce energy on demand. So far, widespread use of this technology has been …

Patients with Parkinson's disease (PD) often show gait impairments including shuffling gait,
festination, and lack of arm and leg coordination. Quantitative gait analysis can provide …

Parkinson's disease (PD) is a neurological disorder with complicated and disabling motor
and non-motor symptoms. The complexity of PD pathology is amplified due to its …

Gait analysis identifies the posture during movement in order to provide the correct actions
for a normal gait. A person's gait may differ from others and can be recognized by specific …