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·Peer-reviewed·ISSN (Online): 2169-0103·ISSN (Print): 0252-2667
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The Journal of Information and Optimization Sciences (JIOS) is a world leading journal publishing high quality, rigorously peer-reviewed original research in all mathematically-oriented theoretical and applied topics in information sciences, optimization sciences and related areas since 1980. Subjects include but are not limited to:
• Information Sciences
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• Control Theory
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Issues up to 2022 co-published with and available at:
Enhancing wellness through AI-powered yoga assistant : A human activity recognition application
Neha Guptaneha.gupta@suas.ac.inDepartment of Information Technology Bharati Vidyapeeth’s College of EngineeringDepartment of Computer Science and Information Technology Symbiosis University of Applied Sciences Indore, Madhya Pradesh, 110063, IndiaView full profile →
, Yogita Arorayogitamarora@gmail.comDepartment of Electronics & Communication Engineering Bharati Vidyapeeth’s College of EngineeringPaschim Vihar, New Delhi, 110063, IndiaView full profile →
, Sarita Yadavsarita1320@yahoo.co.inDepartment of Information Technology Bharati Vidyapeeth’s College of EngineeringPaschim Vihar, New Delhi, 110063, IndiaView full profile →
, Neera Aggarwalneera711@gmail.comDepartment of Electronics & Communication Engineering Bharati Vidyapeeth’s College of EngineeringPaschim Vihar, New Delhi, 110063, IndiaView full profile →
, Sangeeta Guptasangeeta.gupta@bharatividyapeeth.eduDepartment of Instrumentation and Control Engineering Bharati Vidyapeeth’s College of EngineeringPaschim Vihar, New Delhi, 110063, IndiaView full profile →
, *Meenakshi GuptaCorresponding authormeenakshigupta@mru.edu.inDepartment of Electronics & Communication Engineering Manav Rachna UniversityFaridabad, Haryana, 121001, IndiaView full profile →
, Prakhar Priyadarshiprakharpriya@gmail.comDepartment of Information Technology Bharati Vidyapeeth’s College of EngineeringPaschim Vihar, New Delhi, 110063, IndiaView full profile →
, Surinder Kaurthisissurinderkaur1304@gmail.comDepartment of Information Technology Bharati Vidyapeeth’s College of EngineeringPaschim Vihar, New Delhi, 110063, IndiaView full profile →
* Corresponding author · click or hover a name for details
Prioritizing health is crucial, yet it remains unfulfilled and requires increased attention. To address this issue, an automated artificial intelligence (AI) application that monitors postures and actions during exercise would be highly beneficial. In the proposed article, we offer a remote AI powered yoga trainer. This trainer incorporates OpenCV for live image capture and processing, which helps in identifying the key poses. Advanced AI techniques, such as deep learning, have proven beneficial in monitoring applications. In the proposed article, we proposed three AI yoga trainer models using deep neural network (DNN), convolutional neural network (CNN), and multilayer perceptron (MLP) models. We evaluated the proposed model’s performance on a publicly available dataset sourced from Kaggle, where we focused on obtaining yoga pose images, as well as their captions. Data processing, which includes data cleaning and augmentation, is performed to ensure the diversity of the dataset. A carefully curated set of yoga poses, such as chair, cobra, and shoulder stand, helps to provide beginner-friendly and health-beneficial practices remotely, thereby preventing the neglect of physical health.
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