Yoga tutor visualization and analysis using SURF algorithm

Author

Patil, Siddharth ; Pawar, Amey ; Peshave, Aditya ; Ansari, Aamir N. ; Navada, Arundhati

Author_Institution

Pune Inst. of Comput. Technol., Dept. of Comput. Eng., Univ. of Pune, Pune, India

fYear

2011

fDate

27-28 June 2011

Firstpage

43

Lastpage

46

Abstract

Yoga is an ancient Indian art which helps to distress and purge the mind, body and soul. It is known to be a complete cure for various illnesses without the use of medicines. The paper aims to describe a project which is used to help naïve users to perform this ancient Indian art correctly in order to maximize the benefits. It makes use of the SURF algorithm to detect the `asana´ that the user/practitioner is performing and compares it with a video of the same `asana´ performed by an expert. Thus, it helps to detect and eventually correct errors induced in practicing the art using only a webcam and an expert video as aides for the user.

Keywords

art; data visualisation; image motion analysis; SURF algorithm; Yoga tutor; ancient Indian art; expert video; visualization; Algorithm design and analysis; Art; Data visualization; Feature extraction; Gray-scale; Humans; Image edge detection; Canny; SIFT; SURF; Visualization; Yoga;

fLanguage

English

Publisher

ieee

Conference_Titel

Control and System Graduate Research Colloquium (ICSGRC), 2011 IEEE

Conference_Location

Shah Alam

Print_ISBN

978-1-4577-0337-9

Type

conf

DOI

10.1109/ICSGRC.2011.5991827

Filename

5991827