Chiranji Lal Chowdhary

Department of Software and Systems Engineering

School of Information Technology and Engineering

Vellore Campus

Vellore Institute of Technology (VIT) is a private university located in&nbsp;Tamil Nadu, India. Founded in 1984, as Vellore Engineering College, the institution offers 20 undergraduate, 34 postgraduate, four integrated and four research programs. It has campuses in Vellore, Amravati, Bhopal and Chennai.

VIT is one of the top ranked private universities in India according to NIRF, THE and QS Rankings.&nbsp;Govt. of India has recognized&nbsp;VIT, Vellore as an&nbsp;Institution of Eminence. This has allowed VIT to take independent quality initiatives and move up in world ranking.

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VIT University

Recent Patents on Computer Science

Background: Health is the major concern of each and every individual. Being fit both physically and mentally is not an easy task. Yoga and meditation is considered as an optimal solution for the same. In Yoga, Yogi (person who does yoga) performs various asanas (body postures) which energize and refresh their body cells and keep them fit. The real purpose of yoga asanas and breathing techniques is to achieve optimal health possibly the best physical condition based on their life style, environment, age and genetics. Various clinical studies claim that yoga can provide improved mental and physical fitness rather than other physical training or stress management techniques. Objective: Our aim is to increase the performance of the postures of the Yogis, through yoga assistant kit with prediction intelligence which will assist the person to perform suitable yoga postures. This will help the Yogis to achieve more positive results in the practice of Yoga, with highest quality of meditation. The developed IoT kit consists of a hardware module (embedded in wrist band) and a mobile application. The yogi should wear the wrist band while practising yoga. The wrist band consists of various sensors like temperature sensor, pressure sensor, humidity sensor etc. which sense body parameters and store it in a central database. Using neural networks and embedded intelligence our system aims to predict the number of sun salutations a person (yogi) should perform based on the parameters collected from the kit. The results showed that our system works as a virtual trainer which suggests the yogi with the appropriate asanas to be performed based on present body conditions. Methods: It is safe to wear this light weight wrist band as it is made up of a cotton band. The components are embedded inside the band and is safe to use though it uses button cells as a power source. The system is charged by button cells. It is both economical and safe to use it as the kit is designed in such a manner that it doesn’t cause any sort of skin allergies or side effects.&nbsp;Discussion: There is no standard yoga assistant kit available in the market as of now. So our proposed kit can assist the yoga performers to perform yoga in an efficient manner. The intention of our kit is not to improve the health of a yoga person instead it focuses on assisting the yoga person with a set of asanas to be performed at a particular body condition. The smart phone version provides live assistance for the yoga performer with relevant videos. The kit doesn’t consist of any expensive components and hence we can market this product in a nominal price. We performed a clinical study in Amrutha Yoga centre and the results showed that it is non allergic and safe to use for both kids and elder persons. Conclusion: Thus our proposed yoga kit will be an intelligent assistant for every yoga performer to practice yoga efficiently and effectively.

Prediction Intelligence System Based Real Time Monitoring of Yoga Performers

Effective Classification of Major Depressive Disorder Patients Using Machine Learning Techniques

3D Object Recognition System Based On Local Shape Descriptors and Depth Data Analysis

Artificial Intelligence and Machine Learning: Recent Advances and Applications (Part 1)

Journal	Recent Patents on Computer Science
Publisher	Bentham Science Publishers Ltd.
ISSN	2213-2759
Open Access	0