基于WiFi人体行为识别的老年人跌倒监测系统

Elderly fall monitoring system based on WiFi human behavior recognition

随着老龄化时代的到来,老龄化带来的健康问题也开始受人关注。老人平日在室内经常处于无人监管的状态,一旦发生意外,后果将不堪设想。目前对于老年人健康监测缺乏高效简洁的手段,使用WIFI来监管老人健康将是一种很好的方式。而WIFI已经在群众中普及,几乎所有设备都支持Wi-Fi上网,而且其也可以用来实现环境感知、动作识别。利用WiFi无线信号实现自主的活动监测已经成为一种发展趋势,同时也为居家老年人的活动和健康监测提供了全新的解决方案,具有十分重要的社会意义和广泛的应用前景。

With the coming of the aging era,the health problems brought by aging also begin to attract people’s attention.The old person ferial often be in the state that unmanned supervises indoors,once produce accident,consequence will be unimaginable.At present,there is a lack of efficient and simple means to monitor the health of the elderly.Using WIFI to monitor the health of the elderly will be a good way.And WIFI has been popular among the masses,almost all devices support Wi-Fi Internet access,and it can also be used to realize environment awareness,motion recognition.It has become a development trend to use WiFi wireless signal to realize independent activity monitoring,and it also provides a brand new solution for the activity and health monitoring of the elderly at home,which has very important social significance and wide application prospect.