Non-Intrusive Human Motion Recognition Using Distributed Sparse Sensors and the Genetic Algorithm Based Neural Network

Pourpanah, Farhad; Zhang, Bin; Ma, Rui; Hao, Qi

10.1109/ICSENS.2018.8589618

2018

21689229

978-1-5386-4708-0

2018 IEEE SENSORS

2018-October

1075-1078

28-31 Oct. 2018

New Delhi, India

345 E 47TH ST, NEW YORK, NY 10017 USA

IEEE

Due to the rapid development of sensing technology and the increasing ratio of elderly population, many research activities have been performed to develop human motion detection and recognition systems. Various camera and wearable sensor-based human recognition systems have been developed; however, they are either not privacy protective or not practical for long-term monitoring. In this paper, we present a non-intrusive indoor human recognition system using distributed sensors and Genetic algorithm (GA) based neural network. Pyroelectric infrared (PIR) sensors are chosen using masks with random sampling windows to sense the human body thermal variations. The time domain statistical features are extracted to train classification algorithm in order to recognize human motion. Total of 200 samples are collected from volunteers performing two actions, i.e., walking normal and abnormally. A number of classification algorithms have been trained to recognize human motion. The outcome indicates that the QFAM-GA method outperforms other state-of-the-art methods, such as KNN, SVM, CART, NB and Fuzzy Min-Max.

Feature extraction Sensor systems Thermal sensors Time-domain analysis Genetic algorithms Data mining

第一 ; 通讯

英语

CPCI-S ; EI

National Natural Science Foundation of China[61773197]

Engineering ; Remote Sensing

Engineering, Electrical & Electronic ; Remote Sensing

WOS:000468199300279

20190606463623

Data mining ; Genetic algorithms ; Motion estimation ; Time domain analysis

Data Processing and Image Processing:723.2 ; Mathematics:921

Web of Science

Southern Univ Sci & Technol, Sch Comp Sci & Engn, Shenzhen 518055, Peoples R China

Pourpanah, Farhad,Zhang, Bin,Ma, Rui,et al. Non-Intrusive Human Motion Recognition Using Distributed Sparse Sensors and the Genetic Algorithm Based Neural Network[C]. 345 E 47TH ST, NEW YORK, NY 10017 USA:IEEE,2018:1075-1078.