Yoga for Preventive Health: A Holistic Approach

Madan, Shobhit; Sembhi, Jasraj; Khurana, Navpreet; Makkar, Kanika; Byati, Priya

doi:10.1177/15598276211059758

Cited by 8 publications

(2 citation statements)

References 27 publications

(43 reference statements)

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“…The psychophysiological effects of prolonged stress can be alleviated by these practices. Practicing yoga can lead to the release of serotonin, oxytocin, and melatonin, which can aid in coping with fear and anxiety during a pandemic [1]. In the U.S. alone, there are around 31 million adults who practice yoga as a part of their lifestyle, and more than 21 million adults practice it because of its health benefits [2].…”

Section: Introductionmentioning

confidence: 99%

Yoga Posture Recognition Through Computer Vision and Deep Learning

Tiwari,

Bansal,

Shukla

et al. 2024

IJRASET

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India is the place where yoga's science and discipline originated 5,000 years ago. The development of it in ancient India occurred through the Indus-Sarasvati civilization. The Indian subcontinent is where this ancient practice originates,and it has been cherished for its multifaceted benefits that encompass physical, mental, and spiritual. Through asana, meditation, and other breathing techniques, harmony is brought to both body and mind. It also brings peace to the mind. The rise in stress in today's modern lifestyle has led to a global growth in the popularity of yoga. The goal of yoga is to mechanically align the body with effort on the muscles, ligaments, and joints to achieve optimal posture. If the asanas are not performed properly, strain in the joints, ligaments, and backbone can occur, which can have an impact on the hip joints. Therefore, it is vital to maintain correct yoga postures while performing various asanas. The availability of yoga posture prediction and automatic movement analysis is now possible due to the development of computer vision algorithms and sensors. In this work, a framework for recognizing a yoga posture from an image has been built using deep learning techniques such as convolutional neural networks (CNN) and machine learning (ML). The CNN layer is used to extract characteristics from the keypoints, and it is succeeded by a large short-term recollection that recognizes the sequence in which a set of frames occurs in order to make predictions. The stances are then categorized as either correct or inappropriate. The system will provide the user with feedback and display the correctness of posture if the right attitude is detected. This review paper synthesizes the current state-of-the-art in the field of yogic intelligence, focusing on the application of computer vision and deep learning techniques for recognizing yoga postures

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Section: Introductionmentioning

confidence: 99%

Yoga Posture Recognition Through Computer Vision and Deep Learning

Tiwari,

Bansal,

Shukla

et al. 2024

IJRASET

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“…psychophysiological impacts of prolonged stress. When practicing yoga, serotonin, oxytocin, & melatonin are released, and it is beneficial to cope with fear and anxiety during a pandemic [1].…”

Section: Introductionmentioning

confidence: 99%

A Survey on Yogic Posture Recognition

Rajendran

Sethuraman

2023

IEEE Access

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Yoga has been a great form of physical activity and one of the promising applications in personal health care. Several studies prove that yoga is used as one of the physical treatments for cancer, musculoskeletal disorder, depression, Parkinson's disease, and respiratory heart diseases. In yoga, the body should be mechanically aligned with some effort on the muscles, ligaments, and joints for optimal posture. Postural-based yoga increases flexibility, energy, overall brain activity and reduces stress, blood pressure, and back pain. Body Postural Alignment is a very important aspect while performing yogic asanas. Many yogic asanas including uttanasana, kurmasana, ustrasana, and dhanurasana, require bending forward or backward, and if the asanas are performed incorrectly, strain in the joints, ligaments, and backbone can result, which can cause problems with the hip joints. Hence it is vital to monitor the correct yoga poses while performing different asanas. Yoga posture prediction and automatic movement analysis are now possible because of advancements in computer vision algorithms and sensors. This research investigates a thorough analysis of yoga posture identification systems using computer vision, machine learning, and deep learning techniques.INDEX TERMS Yogic posture recognition, optimal posture, machine learning methods, deep learning methods.

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