Fall detection (FD) systems are crucial for identifying falls and ensuring timely assistance,
thus reducing the risk of serious injuries. With the development of society and increasing …

Large-scale distributed energy resources integration has brought serious challenges for
regional power grid operations such as power redundancy and limited external …

In the scenarios of the Internet of Things, fall detection holds increasing significance in the
health monitoring of elderly individuals. While most current research has achieved …

Falls are one of the most serious health risks faced by older adults worldwide, and they can
have a significant impact on their physical and mental well-being as well as their quality of …

Activity recognition is essential in computer vision applications such as smart homes and
healthcare services. While RGB images have been widely used in this area, they pose …

Exoskeletons designed for rehabilitation and movement assistance are essential for
addressing the physiological issues of aging in the elderly. Recognizing locomotion …

Falls are a leading cause of injury and death among the elderly, making fall detection
critically important. Traditional wearable sensors and environmental devices have limitations …

Physical training and monitoring systems rely on motion sensors to precisely gather activity
and phenomenal changes in human/patient actions. The motion sensor data must be …

Falls are a significant cause of injury in older people, and in the home elevator environment,
the consequences of a fall can be more severe due to the confined and narrow space. This …

The integration of artificial intelligence technology with medicine has rapidly evolved, with
increasing demands for quality of life. However, falls remain a significant risk leading to …