可穿戴式跌倒检测系统综述

Survey of wearable fall detection systems

在全球范围内,老人跌倒是主要的公共卫生问题。可穿戴式跌倒检测系统可以自动发现跌倒并有效降低跌倒相关并发症发生的风险。成功应用可穿戴式跌倒检测系统主要取决于3种因素:算法性能、电池寿命以及用户接受程度。首先介绍了传感器(类型、放置位置和采样率)、提取的特征以及分类算法对这3种因素的影响,并讨论了它们的优点和不足。然后总结了开发和测试分类算法所使用的数据集以及用于评估分类算法的性能指标。最后总结了可穿戴式跌倒检测系统中的低功耗技术。

Elderly fall became a major public health problem worldwide.Wearable fall detection systems can automatically detect a fall event and mitigate fall-related complications effectively.The successful deployment of a wearable fall detection system among the elderly mainly depends on three factors,including algorithm performance,battery life,and user acceptance.First,this paper introduced the influence of sensor(considering type,placement position,and sampling rate),feature extraction,classification algorithms as well as the impacts of these three factors with discussion their merits and potential drawbacks.Then the datasets for development and test was presented,and the performance metrics in the evaluation.Finally,the low power technology of the wearable fall detection systems was summarized.