Using artificial intelligence and machine learning techniques in healthcare applications has
been actively researched over the last few years. It holds promising opportunities as it is …

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

Wearable devices, or wearables, designed to be attached to the human body, can gather
personalized real-time data and continuously monitor an individual's health status and …

The steady progress in consumer electronics, together with improvement in microflow
techniques, nanotechnology, and data processing, has led to implementation of cost …

Gait is a basic characteristic of human motion. Different gaits are usually associated with
different body functions. Gait recognition has wide applications in clinical medicine …

Gait phases are widely used in exoskeleton movement control. Surface electromyography
(sEMG) is predictive and plays an important role in gait phase recognition. The purpose of …

Plantar pressure distribution offers insights into foot function, gait mechanics, and foot-
related issues. This systematic review presents an analysis of the use of artificial neural …

Disease outbreaks are nowadays a critical issue despite the development and rapid growth
of technology. One of the major challenges facing healthcare professionals and healthcare …

Intelligent wearable robotics is a promising approach for the development of devices that
can interact with people and assist them in daily activities. This work presents a novel …

The performanceof previous machine learning models for gait phase is only satisfactory
under limited conditions. First, they produce accurate estimations only when the ground truth …