Yoga Tutor is a software prototype developed by Senior E&TC students Gandhar Tannu, Sahil Shingvi and Yash Oswal. This project uses Digital Image Processing techniques and Computer Vision algorithm to detect positional errors in Yoga postures.
This project was developed in 6 months by the students. For their efforts, students were rewarded with average score of 142 marks out of maximum 150 (94%).
2. Vision behind yoga tutor
IMAGE PROCESSING
YOGA- THE BEST MEDICINE
A NEW AND INNOVATIVE IDEA
“IT’S A FANTASTIC INITIATIVE!
I WOULD LIKE TO EXTEND MY
FULL SUPPORT TO THIS VENTURE!”
PADEKAR GURUJI
5. Challenges for practicing yoga
DIFFICULT ART TO LEARN
LESS QUALIFIED PRACTITIONERS AVAILABLE
PHYSICALLY, MENTALLY
AND EMOTIONALLY CHALLENGING
INTIMIDATING FOR BEGINNERS
INCORRECT PRACTICES
MAY LEAD TO INJURIES
6. NEED
FOR
YOGA TUTOR
ONLY LONG TERM SOLUTION
FOR CURRENT DAY PROBLEMS
YOGA PRACTICE BEING INCREASED
EVERYDAY
YOGA HAS TO BE PRACTICED PERFECTLY
NO SELF-HELP YOGA SYSTEM DEVELOPED
URGING NEED OF AUTOMATED SELF-HELP
YOGA CORRECTION SYSTEM
THIS SYSTEM PROVIDED BY YOGA TUTOR
7. MARKET SURVEY
IN AMERICA 15 – 20 MILLION PEOPLE PRACTICE YOGA
AND INDIA IT IS LOT MORE
AMERICANS SPEND $5.7 BILLION A YEAR ON YOGA
(CD’S, DVD’S, etc.)
YOGA CAMPS AND WORKSHOPS ORGANISED EVERYWHERE
(RAMAMANI IYENGAR MEMORIAL YOGA INSTITUTEMOST REPUTED)
CD’S, DVD’S AVAILAIBLE IN MARKET FROM VARIOUS AUTHORS
HIS HIGHNESS, PADEKAR GURUJI, CONDUCTS WORSHOPS AND
SEMINARS
8. CONCLUSIONS
FROM
MARKET SURVEY
YOGA TUTOR NOT IMPLEMENTED
COMMERCIALLY TILL DATE
THERE IS URGENT NEED OF YOGA TUTOR
IN MARKET
KEEN INTEREST SHOWN BY PADEKAR
GURUJI IN THE PROJECT
9. ABOUT YOGA TUTOR
A SELF- HELP TOOL FOR
YOGA PRACTITIONER
VISUALISES AND ANALYSES
MOTION IN YOGA
SOFWARE TO BE INCLUDED
IN YOGA CD’S AND DVD’S
13. WORKING
USE OF SURF ALGORITHM
FRAME EXTRACTION
COMPARISON
ERROR DETECTION
MAJOR INPUTS- REFERENCE AND
PRACTIONER VIDEO
MAJOR OUTPUT- COMPARISON AND
ERROR DETECTION SCREEN
15. SURF ALGORITHM
(SPEEDED UP ROBUST FEATURES)
A ROBUST IMAGE DETECTOR & DESCRIPTOR ALGORITHM
FIRST PRESENTED BY HERBERT BAY ET AL. IN 2006
USED IN COMPUTER VISION TASKS LIKE
OBJECT RECOGNITION OR 3D RECONSTRUCTION
PARTLY INSPIRED BY THE SIFT DESCRIPTOR
THE STANDARD VERSION OF SURF IS
SEVERAL TIMES FASTER THAN SIFT
MORE ROBUST AGAINST DIFFERENT
IMAGE TRANSFORMATIONS THAN SIFT.
16. SURF- the IDEAL CHOICE
FOR YOGA TUTOR
SCALE AND ROTATION INVARIANCECAMERA POSITION FLEXIBILITY
INVARIANCE OF PRACTITIONER AND TRAINER
HEIGHT
ROBUST TO NOISELOW RESTRICTION ON CAMERA QUALITY
(PERFECT FOR WEB CAMERAS)
FAST PROCESSINGNEAR REAL TIME RESULTS
REPEATABILITYMULTIPLE USAGE
24. Sr. no.
T
I
M
E
L
I
N
E
Task
Date
1
Deciding the Tool
12th Sept
2
Learn to use the tool (MATLAB)
23rd Sept
3
Deciding Application
25th Sept
4
Requirements of Application
(CHAKRASANA)
30th Sept
5
Start working on application
12th Oct
6
Build the first prototype
10th Dec
7
Work on the flaws
15th Dec
8
Build final application
15th Feb
25. RISKS INVOLVED
IDEA NOT BEEN IMPLEMENTED BEFORE
INEXPERIENCED DEVELOPERS
AVAILAIBLE TIME LESS
26. YOGA TUTOR TEAM
EXTERNAL MENTOR- PADEKAR GURUJI
INTERNAL GUIDE- Prof. Mrs. WASMATKAR
INTERNAL MENTOR- Prof. Mr. JOSHI
PROJECT DEVELOPERS-
YASH OSWAL
GANDHAR TANNU
SAHIL SHINGVI