PyroSense: 3D Posture Reconstruction Using Pyroelectric Infrared Sensing

被引:0
|
作者
Zeng, Huaili [1 ]
Li, Gen [1 ]
Li, Tianxing [1 ]
机构
[1] Michigan State Univ, 426 Auditorium Rd, E Lansing, MI 48824 USA
关键词
Passive Infrared Sensor; Infrared Sensing; Compressive Sensing; Posture Reconstruction; CLASSIFICATION; RECOGNITION; SENSOR;
D O I
10.1145/3631435
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
We present PyroSense, the first-of-its-kind system that enables fine-grained 3D posture reconstruction using ubiquitous COTS passive infrared sensor (PIR sensor). PyroSense senses heat signals generated by the human body and airflow due to body movement to reconstruct the corresponding human postures in real time. PyroSense greatly advances the prior PIR-based sensing design by improving the sensitivity of COTS PIR sensor to body movement, increasing spatial resolution without additional deployment overhead, and designing intellectual algorithms to adapt to diverse environmental factors. We build a low-cost PyroSense prototype using off-the-shelf hardware components. The experimental findings indicate that PyroSense not only attains a classification accuracy of 99.46% across 15 classes, but it also registers a mean joint distance error of less than 16 cm for 14 body joints for posture reconstruction in challenging environments.
引用
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页数:32
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