As a subfield of machine learning, reinforcement learning (RL) aims at optimizing decision
making by using interaction samples of an agent with its environment and the potentially …

Cuffless blood pressure (BP) measurement has become a popular field due to clinical need
and technological opportunity. However, no method has been broadly accepted hitherto …

Sweat potentially contains a wealth of physiologically relevant information, but has
traditionally been an underutilized resource for non-invasive health monitoring. Recent …

Coronavirus disease 2019 (COVID-19) has emerged as a pandemic with serious clinical
manifestations including death. A pandemic at the large-scale like COVID-19 places …

Driver fatigue detection systems have potential to improve road safety by preventing crashes
and saving lives. Conventional driver monitoring systems based on driving performance and …

Tactile sensors, most commonly referred as strain and pressure sensors, can collect
mechanical property data of the human body and local environment, to provide valuable …

Wearable health monitoring systems are considered as the next generation of personal
portable devices for telemedicine practice. These systems are based on monitoring different …

Soft robots are often inspired from biological systems which consist of soft materials or are
actuated by electrically activated materials. There are several advantages of soft robots …

This article presents a review of major technologies of IoT-based smart homes. It starts with
definition of the smart home that sets the perspective adopted in the review. In addition to …

High-performance flexible strain and pressure sensors are important components of the
systems for human motion detection, human–machine interaction, soft robotics, electronic …