Human Posture Recognition by Simple Rules

Author

Li, Chien-Cheng ; Chen, Yung-Yaw

Author_Institution

Nat. Taiwan Univ., Taipei

Volume

4

fYear

2006

fDate

8-11 Oct. 2006

Firstpage

3237

Lastpage

3240

Abstract

Recognition of human posture for home care system is studied in this paper. Home care system is to determine whether man is in danger or not by image of video and the emergent signal will be sent to hospital and family if man is in danger. Computer vision is a popular tool to solve this kind of problem. The human silhouette is an useful information for the purpose of recognition of human posture and it can be separated from video by imaging process. There is an assumption that the human silhouette has been obtained in this research. In this paper, human posture will be classified as stand, sit, kneel, and stoop by some parameters and simple rules. It is a real time system if using this method and the correct rate exceeds in 90%.

Keywords

computer vision; health care; image recognition; patient care; computer vision; home care system; human posture recognition; Arm; Computer vision; Cybernetics; Databases; Head; Hospitals; Humans; Image recognition; Image segmentation; Real time systems; Computer vision; Recognition of human posture; home care system; human silhouette;

fLanguage

English

Publisher

ieee

Conference_Titel

Systems, Man and Cybernetics, 2006. SMC '06. IEEE International Conference on

Conference_Location

Taipei

Print_ISBN

1-4244-0099-6

Electronic_ISBN

1-4244-0100-3

Type

conf

DOI

10.1109/ICSMC.2006.384616

Filename

4274380