A Reinforcement Learning Based Design of Compressive Sensing Systems for Human Activity Recognition

Liu, Guocheng1; Ma, Rui2; Hao, Qi2

10.1109/ICSENS.2018.8589690

2018

21689229

978-1-5386-4708-0

2018 IEEE SENSORS

2018-October

1456-1459

28-31 Oct. 2018

New Delhi, India

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

IEEE

This paper presents a reinforcement learning based distributed compressive sensing system design method for human activity recognition. This system uses distributed infrared sensors to capture human motion information and aims at representing complex activity scenarios with as little amount of data as possible. Therefore, a set of binary sampling masks are designed to modulate the fields of view (FoV) of sensors and to reduce the amount of measurement data without losing the major features of the target information. The spatial relation between two adjacent sensors is investigated to acquire 3d information with the maximum efficiency. In this work, the main contributions include two parts: (1) design the optimal deployment of distributed sensors and (2) learn the structure of sampling masks by using the policy gradient (PG) based reinforcement learning scheme. Experiment results show that the the proposed system can increase the sensing efficiency and improve the performance of activity recognition.

compressive sensing system mask design activity recognition

通讯

英语

CPCI-S ; EI

National Natural Science Foundation of China[61773197]

Engineering ; Remote Sensing

Engineering, Electrical & Electronic ; Remote Sensing

WOS:000468199300374

20190606463693

Compressed sensing ; Design ; Efficiency ; Infrared detectors ; Machine learning ; Pattern recognition

Information Theory and Signal Processing:716.1 ; Artificial Intelligence:723.4 ; Production Engineering:913.1 ; Radiation Measuring Instruments:944.7

Web of Science

1.Harbin Inst Technol, Dept Elect & Informat Engn, Harbin 150001, Heilongjiang, Peoples R China
2.Southern Univ Sci & Technol, Dept Comp Sci & Engn, Shenzhen 518055, Peoples R China

Liu, Guocheng,Ma, Rui,Hao, Qi. A Reinforcement Learning Based Design of Compressive Sensing Systems for Human Activity Recognition[C]. 345 E 47TH ST, NEW YORK, NY 10017 USA:IEEE,2018:1456-1459.