Smart Home based on Kinect Gesture Recognition Technology

doi:10.23940/ijpe.19.01.p26.261269

Int J Performability Eng ›› 2019, Vol. 15 ›› Issue (1): 261-269.doi: 10.23940/ijpe.19.01.p26.261269

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Smart Home based on Kinect Gesture Recognition Technology

Yanfei Peng^a, Jianjun Peng^a*(), Jiping Li^b, Chunlong Yao^a, and Xiuying Shi^a

a School of Information Science and Engineering, Dalian Polytechnic University,Dalian,116034,China
b College of Mathematics and Informatics, South China Agricultural University, Guangzhou,510642, China

Revised on ; Accepted on
Contact: Peng Jianjun E-mail:pengjj@dlpu.edu.cn
About author:Yanfei Peng is a master student from the School of Information Science and Engineering, Dalian Polytechnic University. His research 3D simulation and virtual reality.|Jianjun Peng is a lecturer of Computer Science and Technology and the director of Geometric & Visual Computing Lab at Dalian Polytechnic University in China. Prior to that, She received his B.E. and Ph.D. in Computer Science and Technology from Shenyang institute of Computing Technology, Chinese Academy of Sciences (China) in 2004 and 2012, respectively. Her current research interests include virtual reality, augmented reality, motion capture, 3D reconstruction and embedded system.|Jiping Li is a professor of Software Engineering at South China Agricultural University from Oct. 1st, 2016. Prior to that, he worked for 11 years at Dalian Polytechnic University as a professor, 2 years at Tianjin University as a postdoctoral researcher and 3 years at Tokyo Institute of Technology as a researcher of JST (Japan Science and Technology Agency). He received his B.E. and Ph.D. degree from Harbin Institute of Technology in 1995 and 1999, respectively. He had research and development experiences in virtual manufacturing, industrial and medical robot, CAD\CAE, 3D reconstructing, serious game, VR & AR. His current research interest is visual and cognitive computing, which has promising applications in visual perception, intelligent cognition, robot and automatic instrument.|Chunlong Yao was born in Heilongjiang province, China, in 1971. He received his B.E. degree in computer and its application from Northeast Heavy Machinery Institute, Qiqihar, China, in 1994; his M.E. degree in computer application technology from Northeast Heavy Machinery Institute, Qiqihar, China, in 1997; and his Ph.D. degree in computer software and theory from Harbin Institute of Technology, Harbin, China, in 2005. He is currently a professor and supervisor of postgraduate students at Dalian PolytechnicUniversity, Dalian, China. His current research interests include database and data mining, and intelligentinformation system.|Xiuying Shi is a master student from the School of Information Science and Engineering, Dalian Polytechnic University. Her research 3D simulation and virtual reality.

Abstract

Abstract:

In order to satisfy the needs of people’s intelligent home environment, this paper proposes an intelligent home control system based on gesture recognition technology. To obtain and recognize gestures of human by the depth data,skeleton data and 3D point clouds uses Kinect.The Arduino microprocessor is used to process the received data to realize the intelligent control of home appliances. The body mass index BMI was generated by the acquired biological characteristics, and detects the user’s physical condition. The experimental results show that the system can achieve effective control of household appliances and accurately measurehuman biological characteristics by receiving and recognizing human body posture.It proves that the system is innovative and practical.

Key words: Kinect, Arduinomicroprocessor, depth data, skeletal tracking, biometric identification

Yanfei Peng, Jianjun Peng, Jiping Li, Chunlong Yao, and Xiuying Shi. Smart Home based on Kinect Gesture Recognition Technology [J]. Int J Performability Eng, 2019, 15(1): 261-269.

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Smart Home based on Kinect Gesture Recognition Technology

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