A research on automatic human fall detection method based on wearable inertial force information acquisition system

摘要：

Frequent and high-risk fall accidents of the elders have become a serious medical and social problem. In this paper, a wireless automatic human fall detection device based on tri-axis accelerator is designed and realized; and a novel method to distinguish fall events from other daily activities is proposed also, including multi-impact falls and rolling down falls. In the real application, the device is worn on upper trunk of human body, with the algorithm focusing on the impact during a fall and the orientation of trunk before the fall and after it. At last, experiment is performed on some typical daily activities, such as walking, stand-to-sit, stand-to-squat, fall frontward, sideways, etc, and it has shown good results in high detection rate and low positive false rate.

作者: Lina Tong Wei Chen Quanjun Song Yunjian Ge

作者单位: Department of Engineering Systems and Technology,Graduate School of Science and Engineering,Saga Uni Institute of Intelligent Machines,Chinese Academy of Sciences and Automation Department,University o Institute of Intelligent Machines,Chinese Academy of Sciences

会议类型: 国际会议

会议名称: 2009 IEEE International Conference on Robotics and Biomimetics(2009 IEEE 机器人与仿生技术国际会议 ROBIO 2009)

会议地点: 桂林

会议语种:英文

页码: 949-953

在线出版日期: 2009-12-19（万方平台首次上网日期，不代表论文的发表时间）