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Video recognition of yoga postures

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A system that may analyze a phase of video and determine the yoga postures, asana, being practiced can be a great tool for instruction and studying on this artwork.

Yoga observe combines bodily and psychological well being and has its origins in historic India. Yoga is now practiced worldwide by tens of millions of individuals. Research has proven that common yoga observe may be useful in managing persistent ache, decreasing nervousness and melancholy, and in bettering one’s high quality of life. After all, there’s a potential draw back to yoga practice, notably for these studying by way of video hyperlink or from on-line video tutorials and the hyperlink. The principle dangers are in a novice, or certainly, skilled practitioner pushing themselves too far. Muscular, ligament, tendons, and joints may be susceptible in such a state of affairs notably within the transitions between postures.

A system {that a} practitioner would possibly use of their solo observe that acknowledges when they’re holding a posture appropriately may be developed to warn them of points that may come up in a given posture based mostly on an evaluation of their efforts.

Human exercise recognition in a video is a rising space of analysis for a lot of purposes together with the detection of prison exercise in closed-circuit tv (CCTV) footage, diagnostics of postural and gait issues in healthcare, the identification of people from their motion, confirming that social distancing laws are being noticed, and plenty of different areas. Writing within the Worldwide Journal of Arts and Expertise, a group from India explains how they’ve used an end-to-end deep studying pipeline that features a convolutional neural network (CNN) and a bidirectional lengthy short-term memory (LSTM) community to determine yoga-asana.

The group first skilled their system utilizing recognized postures in movies down-sampled to twenty frames and extracted pertinent spatial options from the frames. The coaching concerned seven well-known yoga-asana: Bhujangasana, Bidalasana-Bitlasana, Trikonasana, Vrikshasana, Padmasana, Shavasana, and Tadasana. Their system was then examined with beforehand unclassified video and proven to have an accuracy of just about 97 % when cross-validated by consultants. The subsequent step can be so as to add extra asana to the info set. As well as, the team hopes to increase their system to acknowledge yoga postures being carried out by a couple of particular person at a time in order that a web based class may be guided extra precisely.

Yoga improves health in later life, study says

Extra data:
Nitin Paharia et al, Recognition of ‘yoga-asana’ utilizing bidirectional LSTM with CNN options, Worldwide Journal of Arts and Expertise (2022). DOI: 10.1504/IJART.2021.120765

Video recognition of yoga postures (2022, February 14)
retrieved 14 February 2022

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