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Open AccessArticle

Simultaneous Indoor Tracking and Activity Recognition Using Pyroelectric Infrared Sensors

1
School of Medical Information Engineering, Guangzhou University of Chinese Medicine, Guangzhou 510000, China
2
College of Mechanical and Electrical Engineering, Zhongkai University of Agriculture Engineering, Guangzhou 510000, China
*
Author to whom correspondence should be addressed.
Sensors 2017, 17(8), 1738; https://doi.org/10.3390/s17081738
Received: 20 June 2017 / Revised: 19 July 2017 / Accepted: 25 July 2017 / Published: 29 July 2017
Indoor human tracking and activity recognition are fundamental yet coherent problems for ambient assistive living. In this paper, we propose a method to address these two critical issues simultaneously. We construct a wireless sensor network (WSN), and the sensor nodes within WSN consist of pyroelectric infrared (PIR) sensor arrays. To capture the tempo-spatial information of the human target, the field of view (FOV) of each PIR sensor is modulated by masks. A modified partial filter algorithm is utilized to decode the location of the human target. To exploit the synergy between the location and activity, we design a two-layer random forest (RF) classifier. The initial activity recognition result of the first layer is refined by the second layer RF by incorporating various effective features. We conducted experiments in a mock apartment. The mean localization error of our system is about 0.85 m. For five kinds of daily activities, the mean accuracy for 10-fold cross-validation is above 92%. The encouraging results indicate the effectiveness of our system. View Full-Text
Keywords: Wireless Sensor Network (WSN); Pyroelectric Infrared (PIR) sensor; random forest; simultaneously tracking and recognition Wireless Sensor Network (WSN); Pyroelectric Infrared (PIR) sensor; random forest; simultaneously tracking and recognition
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MDPI and ACS Style

Luo, X.; Guan, Q.; Tan, H.; Gao, L.; Wang, Z.; Luo, X. Simultaneous Indoor Tracking and Activity Recognition Using Pyroelectric Infrared Sensors. Sensors 2017, 17, 1738. https://doi.org/10.3390/s17081738

AMA Style

Luo X, Guan Q, Tan H, Gao L, Wang Z, Luo X. Simultaneous Indoor Tracking and Activity Recognition Using Pyroelectric Infrared Sensors. Sensors. 2017; 17(8):1738. https://doi.org/10.3390/s17081738

Chicago/Turabian Style

Luo, Xiaomu; Guan, Qiuju; Tan, Huoyuan; Gao, Liwen; Wang, Zhengfei; Luo, Xiaoyan. 2017. "Simultaneous Indoor Tracking and Activity Recognition Using Pyroelectric Infrared Sensors" Sensors 17, no. 8: 1738. https://doi.org/10.3390/s17081738

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