Chen Jay, Kwong Karric, Chang Dennis, Luk Jerry, Bajcsy Ruzena
Dept. of Electr. Eng., California Univ., Berkeley, CA.
Conf Proc IEEE Eng Med Biol Soc. 2005;2005:3551-4. doi: 10.1109/IEMBS.2005.1617246.
Unintentional falls are a common cause of severe injury in the elderly population. By introducing small, non-invasive sensor motes in conjunction with a wireless network, the Ivy Project aims to provide a path towards more independent living for the elderly. Using a small device worn on the waist and a network of fixed motes in the home environment, we can detect the occurrence of a fall and the location of the victim. Low-cost and low-power MEMS accelerometers are used to detect the fall while RF signal strength is used to locate the person.
意外跌倒是老年人群严重受伤的常见原因。通过引入小型非侵入式传感器节点并结合无线网络，常春藤项目旨在为老年人提供一条通往更独立生活的途径。利用佩戴在腰部的小型设备以及家庭环境中的固定节点网络，我们能够检测跌倒的发生情况以及受害者的位置。低成本、低功耗的微机电系统（MEMS）加速度计用于检测跌倒，而射频信号强度则用于定位人员。
