Acceleration Plethysmography based classification using ANN and LIBSVM

Inspite of its complete foundation, Ayurveda has not received acknowledgement in the scientific world. This may be due to absence of taking an initiative in its experimental research. In this paper we have emphasized on the Ayurvedic constituent `Pitta´, by examining the features extracted from the Acceleration Plethysmography, to design and authenticate a high Pitta classifier. For this objective, different classification techniques like Artificial Neural Networks, LIBSVM etc. has been used. It has been observed that the Pitta level intensifies during mid-day and is effected by consumption of meals to some extent.