Remote monitoring of a fall condition or activities and daily life (ADL) of elderly patients has
become one of the essential purposes for modern telemedicine. Internet of Things (IoT) and …

Growth and advancement of the Deep Learning (DL) and the Internet of Things (IoT) are
figuring out their way over the modern contemporary world through integrating various …

Falls have long been one of the most serious threats to elderly people's health. Detecting
falls in real-time can reduce the time the elderly remains on the floor after a fall, hence …

Tool wear is inevitable in cutting process. If tool wear failure is not detected in time, it will
lead to abnormal cutting process and affect the machining efficiency and quality seriously …

Current multi-disciplinary research views falls in the elderly as a significant worldwide public
health risk. Several fall detection systems have been created that use wearable motion …

Given the high prevalence and detrimental effects of unintentional falls in the elderly, fall
detection has become a pertinent public concern. A Fall Detection System (FDS) gathers …

Accurate fast hand detection and gesture recognition for hand understanding are still
challenging tasks that are influenced by the diversity of hands and the complexity of the …

A fall-detection system was implemented utilizing a 2.45 GHz continuous wave radar along
with power-efficient and fully-analog integrated classifier architectures. The Power Burst …

Machine learning has been applied in healthcare domain for the development of smart
devices to improve the life of the elderly persons in the society. Taking care of elderly person …

A fall of an elderly person often leads to serious injuries or even death. Many falls occur in
the home environment and remain unrecognized. Therefore, a reliable fall detection is …