CapLoc: Capacitive Sensing Floor for Device-Free Localization and Fall Detection

被引:23
|
作者
Faulkner, Nathaniel [1 ,2 ]
Parr, Baden [1 ]
Alam, Fakhrul [1 ]
Legg, Mathew [1 ]
Demidenko, Serge [1 ,2 ]
机构
[1] Massey Univ, Sch Food & Adv Technol, Dept Mech & Elect Engn, Auckland 0632, New Zealand
[2] Sunway Univ, Sch Sci & Technol, Auckland 47500, Malaysia
来源
IEEE ACCESS | 2020年 / 8卷
关键词
Capacitive sensing; device-free localization; electric field sensing; fall detection; footstep detection; footstep tracking; human sensing; indoor localization; indoor positioning system (IPS); passive positioning; ACTIVITY RECOGNITION; INDOOR LOCALIZATION; HUMAN TARGETS; TRACKING; CALIBRATION; SYSTEM; CSI;
D O I
10.1109/ACCESS.2020.3029971
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Passive indoor positioning, also known as Device-Free Localization (DFL), has applications such as occupancy sensing, human-computer interaction, fall detection, and many other location-based services in smart buildings. Vision-, infrared-, wireless-based DFL solutions have been widely explored in recent years. They are characterized by respective strengths and weaknesses in terms of the desired accuracy, feasibility in various real-world scenarios, etc. Passive positioning by tracking the footsteps on the floor has been put forward as one of the promising options. This article introduces CapLoc, a floor-based DFL solution that can localize a subject in real-time using capacitive sensing. Experimental results with three individuals walking 39 paths on the CapLoc show that it can detect and localize a single target's footsteps accurately with a median localization error of 0.026 m. The potential for fall detection is also shown with the outlines of various poses of the subject lying upon the floor.
引用
收藏
页码:187353 / 187364
页数:12
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