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 …

Quartz crystal microbalance (QCM), being a mass-sensitive sensor, has the benefit of
achieving high accuracy (up to nanogram level), providing real-time digital frequency output …

Accidental falls pose a significant public health challenge, especially among vulnerable
populations. To address this issue, comprehensive research on fall detection and rescue …

Exploring the nature of neural activity in humans attracts much attention in human-machine
interfaces. However, there is still a lack of understanding about the neural activities …

Fall detection systems are vital for identifying falls and ensuring prompt assistance, reducing
the risk of severe injuries. As society progresses and health concerns gain more attention …

This study presents a fall detection approach utilizing body-worn accelerometer data. The
proposed method initially involves segmenting accelerometer data into non-overlapping …

Since the fall was often occurred in elders daily, this paper focused on gait analysis with fall
detection to develop a wearable device. To ensure that the mobile application, APP, could …

Falls pose a significant health risk, especially for older adults, resulting in serious injuries,
limited movement, and higher medical expenses. Precise and fast identification of falls is …

Fall detection systems are essential for ensuring the safety and well-being of people,
particularly the elderly and those with limited mobility. The geriatric population makes it one …

Fall-related injuries pose a significant health risk, particularly among the elderly population,
necessitating advancements in fall detection technologies. While traditional sensor-based …