Title :
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
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;
Conference_Titel :
Control and System Graduate Research Colloquium (ICSGRC), 2011 IEEE
Conference_Location :
Shah Alam
Print_ISBN :
978-1-4577-0337-9
DOI :
10.1109/ICSGRC.2011.5991827
