Black, Northwestern Polytechnical University Technology: WiFi signal accurate identification information-WiFi-IT information

IT information in the preprint site has recently published papers, Northwestern Polytechnical University, published their own study of a FreeSense of black technology. This technology available WiFi signals the Interior identification of different information. The principle is used for WiFi signals of different human body absorbing and reflecting differences, so as to determine each person's individual information.

Now WiFi signal has been widely present in many families, the technology can use this criteria to distinguish between different members of the family. Because each person's shape and movement patterns of differences, a person walking around in the room will produce distinct patterns of WiFi signals, which can be used for accurate identification enter the room in which people move around the room. FreeSense require prior knowledge of a person's body to later by observing the reflection pattern recognition of individual wireless signals. Tests showed that when the system is choosing between two people, with an accuracy rate can reach 95%; when you choose between 6 people, system accuracy can reach 89%.

Researchers said the technology can be used for smart home settings. When the router detects a person enters the room, it can according to the preference of lighting appliances and other equipment to control. Can therefore also be used for security systems, once a device is found in the body that were not recorded, routers may alarm or alert messages can be sent to owners of mobile phones and other devices, in order to attract attention.

Paper downloads (PDF): click here to enter

西北工业大学黑科技：WiFi信号精确识别人体信息 - WiFi - IT资讯

IT资讯讯 西北工业大学近日在预印本网站发表论文，公布了自己研究的一项黑科技FreeSense。这项技术可利用WiFi信号实现室内不同人体信息的识别。其原理是利用不同人体对于WiFi信号的吸收和反射情况差异，从而判断出每个人的个体信息。

如今WiFi信号已经广泛存在于各个家庭，该技术可以利用这个条件来为不同家庭的成员进行区分。由于每个人的体型和动作模式的差异性，一个人在室内走动影响周围WiFi信号时会产生独特的模式，这可用于精确识别进入室内或在室内走动的是哪一个人。FreeSense需要预先了解一个人的体型才能在此后通过观察无线信号的反射模式识别个体。测试显示，当系统在两个人之间做选择时，正确率能达到95%；当在6个人之间做选择时，系统正确率能达到89%。

研究人员称，这项技术可用于智能家庭设置。当路由器探测到一个人进入室内时，它能根据这个人的偏好对灯光家电等设备进行调控。也可以因此来用于防盗系统，一旦发现设备中未曾记录过的人体信息，路由器可因此报警，或将警报信息发送至主人的手机等终端，以便引起注意。

论文下载（PDF）：点此进入