Smart Yoga Instructor for Guiding and Correcting Yoga Postures in Real Time.

IF 1.1 Q3 INTEGRATIVE & COMPLEMENTARY MEDICINE
International Journal of Yoga Pub Date : 2022-09-01 Epub Date: 2023-01-16 DOI:10.4103/ijoy.ijoy_137_22
D Mohan Kishore, S Bindu, Nandi Krishnamurthy Manjunath
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引用次数: 0

Abstract

In recent days, Yoga is gaining more prominence and people all over the world have started to practice it. Performing Yoga with proper postures is beneficial. Hence, an instructor is required to monitor the correctness of Yoga postures. However, at times, it is difficult to have an instructor. This study aims to provide a system that will act as a personal Yoga instructor and practitioners can practice Yoga in their comfort zone. The device is interactive and provides audio guidance to perform different Yoga asanas. It makes the use of a camera to capture the picture of the person performing Yoga in a particular position. This captured pose is compared with the benchmark postures. A pretrained deep learning model is used for the classification of different Yoga postures using a standard dataset. Based on the comparison, the practitioner's posture will be corrected using a voice message to move the body parts in a certain direction. As the device performs all the operations in real-time, it has a quick response time of a few seconds. Currently, this work aids the practitioners in performing five Asanas, namely, Ardha Chandrasana/Half-moon pose, Tadasana/Mountain pose, Trikonasana/Triangular pose, Veerabhadrasana/Warrior pose, and Vrikshasana/Tree pose.

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实时指导和纠正瑜伽姿势的智能瑜伽教练。
最近几天,瑜伽越来越突出,全世界的人都开始练习瑜伽。正确的姿势练习瑜伽是有益的。因此,教练需要监督瑜伽姿势的正确性。然而,有时,很难有一个教练。这项研究旨在提供一个系统,作为个人瑜伽教练和练习者可以在他们的舒适区练习瑜伽。该设备是交互式的,并提供音频指导,以执行不同的瑜伽体式。它使用相机来捕捉在特定位置练习瑜伽的人的照片。将此捕捉到的姿势与基准姿势进行比较。预训练的深度学习模型用于使用标准数据集对不同瑜伽姿势进行分类。在比较的基础上,练习者的姿势将通过语音信息来纠正,使身体部位朝某个方向移动。由于该设备实时执行所有操作,因此它的快速响应时间只有几秒钟。目前,这项工作帮助练习者进行五种体式,即Ardha Chandrasana/半月式、Tadasana/山式、Trikonasana/三角式、Veerabhardasana/战士式和Vrikshasana/树式。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
International Journal of Yoga
International Journal of Yoga INTEGRATIVE & COMPLEMENTARY MEDICINE-
自引率
12.50%
发文量
37
审稿时长
24 weeks
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