TY - GEN
T1 - Quantitative measurement of anulom vilom pranayam by color patch detection
AU - Roy, B. K.
AU - Santhosh, K. V.
AU - Nayak, Prekash Chandra
PY - 2013
Y1 - 2013
N2 - This paper presents a quantitative measurement technique of 'anulom vilom' type pranayam by detecting a color patch in the video. A system is developed which can capture the video with the help of a camera during pranayam and analyzes the video to display the quantitative results of pranayam as message and graph. The message display the frequency of pranayam done and the graph shows the period of each cycle. The whole system is developed on LabVIEW platform. First the LVPROJ will capture the video using a good quality webcam or LabVIEW compatible camera like an IEEE 1394, GigE Vision, or DirectShow-compatible USB camera. Video is analyzed to detect patch by color detection method. Once the processing will be complete the person can see the result in the form of message and graph. The results shown are essential to make a person understand the lacuna in his pranayam and necessary action can be taken.
AB - This paper presents a quantitative measurement technique of 'anulom vilom' type pranayam by detecting a color patch in the video. A system is developed which can capture the video with the help of a camera during pranayam and analyzes the video to display the quantitative results of pranayam as message and graph. The message display the frequency of pranayam done and the graph shows the period of each cycle. The whole system is developed on LabVIEW platform. First the LVPROJ will capture the video using a good quality webcam or LabVIEW compatible camera like an IEEE 1394, GigE Vision, or DirectShow-compatible USB camera. Video is analyzed to detect patch by color detection method. Once the processing will be complete the person can see the result in the form of message and graph. The results shown are essential to make a person understand the lacuna in his pranayam and necessary action can be taken.
UR - https://www.scopus.com/pages/publications/84875751500
UR - https://www.scopus.com/pages/publications/84875751500#tab=citedBy
U2 - 10.1109/ISCO.2013.6481137
DO - 10.1109/ISCO.2013.6481137
M3 - Conference contribution
AN - SCOPUS:84875751500
SN - 9781467346016
T3 - 7th International Conference on Intelligent Systems and Control, ISCO 2013
SP - 138
EP - 142
BT - 7th International Conference on Intelligent Systems and Control, ISCO 2013
T2 - 7th International Conference on Intelligent Systems and Control, ISCO 2013
Y2 - 4 January 2013 through 5 January 2013
ER -