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For centuries, people have been giving treatments to specific energy points in the human
body which were linking various organs, limbs immune responses and even emotions.
These „points‟ are named in Chinese Medicine as Acupressure points/Acupuncture points
and referred as Marma points in Ayurveda and yogic healing. According to both Chinese
Medicine and Ayurveda, energy (chi or prana) can stagnate in these energy points. Both
Chinese and ayurvedic systems have separate healing practices focused on freeing this
energy, either through , Ayurvedic massage ,acupuncture or acupressure. The focus of marma
point massage or pressure point therapy is to manipulate subtle energy or prana, but the
massage therapy for the marma points is also useful for boosting circulation, relieving stiff
muscles, to cure pains and a large number of different diseases. The locations of marma
points are defined in ancient books like Susruta using “anguli” or finger units and locations of
acupressure points in “cun” which is equal to the width of the thumb. As the thumb sizes and
the sizes of the human body and the locations of anatomical landmarks differ from individual
to individual and it is essential to identify the correct location of the marma points/pressure
points before doing treatments which takes time for identification of the exact location.
This project addresses the problem placement of pressure points on the human.This
application is developed for real time face and hand detection and replacement using the
identified locations of the pressure points . A novel approach was identified using the existing
technologies in image processing, computer vision and machine learning algorithms. |
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