Abstract

Objective: To design an intelligent system to identify Prakriti of a person based on tongue image analysis and machine learning algorithms. Method: Tongue images were captured using webcam and processing was done using Raspberry Pi development board. The algorithms were developed using OpenCV python libraries. Thirteen geometry features, two non-geometry features, and two texture attributes were extracted from each tongue image. These features were used to identify prakriti Vata, Pitta and Kapha. Performance of three classifiers namely, KNN, Neural network and Decision tree was verified for the precision in identifying class of the test image. Findings: KNN provided sensitivity of 42.85% for Vata, for Pitta and Kapha prakriti it was 55% and 45% respectively. With Neural network sensitivity was improved to 62.5% for Vata and Pitta and for Kapha Prakriti it was 60%. Decision tree exhibited better sensitivity of 83.33% for Vata, for Kapha and Pitta prakriti it was 75% and 71.42% respectively. During blind validation to identify prakriti, each physician was told to analyse images for said classes. This procedure resulted in sensitivity of 81.25% and 84.61% respectively. Keywords: Prakriti dosha; tongue image analysis; machine learning

Highlights

  • Ayurveda is an ancient medical system with a long history

  • Experimental results showed that the extracted geometry features are effective at tongue shape classification with average accuracy of 76.24% for all shapes

  • 5.1 Tongue image acquisitionIn the proposed system for tongue image analysis, tongue image acquisition can be done in two ways: 1. Real time acquisition and analysis- Direct image capture using webcam connected to raspberry pi. 2

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Summary

Introduction

Ayurveda is an ancient medical system with a long history. There are several efforts by research community to evaluate methods of Ayurveda through scientific approach. According to Ayurveda, there are three fundamental doshas/prakriti: Vata, Pitta and Kapha, and good health is considered to be a perfect state of balance between these three doshas. Doctors assess these characteristics by inspection, interrogation, and palpation to determine the prakriti for the subject (1). Primary prevention, and therapy based on prakriti of each individual.

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