Yog-Guru: Real-Time Yoga Pose Correction System Using Deep Learning Methods

Chaudhari, Ajay; Dalvi, Omkar; Ramade, Onkar; Ambawade, Dayanand

doi:10.1109/iccict50803.2021.9509937

Cited by 35 publications

(17 citation statements)

References 12 publications

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“…Over the past decade, numerous works have been done in yoga posture recognition using vision and sensor technology. Motion capture sensors [81], [82], [83], [84], [85], [86], [87], [88], accelerometers [89], [90], gyroscopes [91], magnetometers [89], motion sensors [92], pressure sensors [93], other visual [24], [94], [95], [96], [97], [98], [99], [100], [101], [102], [103], [104], [105], [106], [107], [108] and wearable sensors [97], [109] are some of the most utilized in postural estimations. Radio Frequency Identification [RFID] [110] and Wireless Fidelity (Wi-Fi) [111], for example, are location-based sensors.…”

Section: F Yoga Posture Recognition (Ypr)mentioning

confidence: 99%

“…Data collection [24], [81], [82], [83], [84], [85], [86], [87], [88], [91], [92], [94], [95], [96], [97], [98], [99], [100], [101], [102], [103], [104], [105], [106], [109], [110], [111], [112], [113], [114], [115], [116], keypoint extraction [81], [82], [83], [84], [85], [86], [87], [88], [91], [92], [94], [95], [96], [97], [98], [99], [100], [101], [102]<...…”

Section: F Yoga Posture Recognition (Ypr)unclassified

“…Conventional Additionally, automated extraction of feature methods contains linear & non-linear, supervised & unsupervised, including principal component analysis [111], [142], decision tree [103], [113], random forest [87], [101], [103], [113], kernel approaches [87], [106], [112] and deep learning feature extraction methods. Support vector machines [101], [103], [113] in kernel approach, convolutional neural networks [83], [94], [97], [100], [104], [115], deep neural network [91], [92], [110], and recurrent neural network [96], [102], [111] in deep learning methods are having efficient feature learning capabilities [143]. Feature extraction methodologies are separated into three categories based on the extracted features.…”

Section: Feature Extractionmentioning

confidence: 99%

“…The keypoint detection method extracts the x and y coordinates of distinct areas of the body parts and their confidence levels. After that, the coordinates of different areas of the body derived from such an image encompass sufficient evidence to identify whether the posture is correct or not [94]. Keypoint estimation methods could not need high-tech devices for analyzing pictures or videos.…”

Section: Keypoint Based Feature Extractionmentioning

confidence: 99%

“…It measures the user's motion & identifies the position of secret body parts that were hard to discover in normal situations. HPE has been a rapidly evolving area, and OpenPose completely transformed it by substantially decreasing computing time without compromising the prediction accuracy of the model [94].…”

Section: ) Openposementioning

confidence: 99%

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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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