Development of a Wearable-Sensor-Based Fall Detection System 论文
2015International Journal of Telemedicine and Applications引用 233顶会
Context-Aware Activity Recognition SystemsNon-Invasive Vital Sign MonitoringGait Recognition and Analysis
摘要
Fall detection is a major challenge in the public healthcare domain, especially for the elderly as the decline of their physical fitness, and timely and reliable surveillance is necessary to mitigate the negative effects of falls. This paper develops a novel fall detection system based on a wearable device. The system monitors the movements of human body, recognizes a fall from normal daily activities by an effective quaternion algorithm, and automatically sends request for help to the caregivers with the patient's location.