Can Biological Motion be a Biometric?

Author

Pati, Peeta Basa ; Ramakrishnan, A.G.

Author_Institution

Indian Inst. of Sci., Bangalore

fYear

2006

fDate

Oct. 15 2006-Dec. 18 2006

Firstpage

2

Lastpage

4

Abstract

Biological motion has successfully been used for analysis of a person´s mood and other psychological traits. Efforts are made to use human gait as a non-invasive mode of biometric. In this reported work, we try to study the effectiveness of biological gait motion of people as a cue to biometric based person recognition. The data is 3D in nature and, hence, has more information with itself than the cues obtained from video-based gait patterns. The high accuracies of person recognition, using a simple linear model of data representation and simple neighborhood based classifiers, suggest that it is the nature of the data which is more important than the recognition scheme employed.

Keywords

face recognition; gesture recognition; image motion analysis; image representation; pattern classification; principal component analysis; video signal processing; biological gait motion; biological motion; biometric; data representation; human gait; noninvasive mode; person recognition; psychological traits; video-based gait patterns; Biological system modeling; Biology; Biometrics; Face recognition; Fingerprint recognition; Humans; Legged locomotion; Mood; Motion analysis; Psychology; Biological motion; biometric; person identification; principal component analysis;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Sensing and Information Processing, 2006. ICISIP 2006. Fourth International Conference on

Conference_Location

Bangalore

Print_ISBN

1-4244-0612-9

Electronic_ISBN

1-4244-0612-9

Type

conf

DOI

10.1109/ICISIP.2006.4286049

Filename

4286049