Recognition of Yoga poses through an interactive system with Kinect based on confidence value

Trejo, Edwin W.; Yuan, Pingzhi

doi:10.1109/icarm.2018.8610726

Cited by 12 publications

(9 citation statements)

References 12 publications

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“…Other works look for specific actions when analyzing the frames of sports videos, as in [ 55 ] for athletics. Some authors are more interested in sports or physical exercise in which less “action” or movement is present, but more complexity in terms of poses is found, such as Taichi [ 56 ] and Yoga [ 57 ]. These works specifically are focused on providing the practitioners a tool to check the correctness of their poses, to learn more easily.…”

Section: Resultsmentioning

confidence: 99%

A Systematic Review of the Application of Camera-Based Human Pose Estimation in the Field of Sport and Physical Exercise

Badiola-Bengoa

Zorrilla

2021

Sensors

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Human Pose Estimation (HPE) has received considerable attention during the past years, improving its performance thanks to the use of Deep Learning, and introducing new interesting uses, such as its application in Sport and Physical Exercise (SPE). The aim of this systematic review is to analyze the literature related to the application of HPE in SPE, the available data, methods, performance, opportunities, and challenges. One reviewer applied different inclusion and exclusion criteria, as well as quality metrics, to perform the paper filtering through the paper databases. The Association for Computing Machinery Digital Library, Web of Science, and dblp included more than 500 related papers after the initial filtering, finally resulting in 20. In addition, research was carried out regarding the publicly available data related to this topic. It can be concluded that even if related public data can be found, much more data is needed to be able to obtain good performance in different contexts. In relation with the methods of the authors, the use of general purpose systems as base, such as Openpose, combined with other methods and adaptations to the specific use case can be found. Finally, the limitations, opportunities, and challenges are presented.

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Section: Resultsmentioning

confidence: 99%

A Systematic Review of the Application of Camera-Based Human Pose Estimation in the Field of Sport and Physical Exercise

Badiola-Bengoa

Zorrilla

2021

Sensors

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“…An collaborating system developed that aided with Kinect sensor to give alive command on yoga posture that is to be practiced by the yoga practitioner in the subsequent steps [19]. This interactive system powered by Kinect is beneficial for both practitioners and tutors.…”

Section: Recurrent Neural Network (Rnn)mentioning

confidence: 99%

Yoga Pose Estimation along with Human Posture Detection using Deep Learning Approach

Deepa¹,

Velumani²,

Selvaraj³

2023

ACE

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The yoga is the ancient art for keeping the human body healthy and fit and acquiring mental peace. This position in yoga almost matches with human posture for comfortable physical activity. The different sequence of body joint action leads to a specific yoga asana that has its own benefit for health. If asana are done in improper way, it would create a bad impact not only in health but also in mental peace. The advancement in computer vision technology help the yoga practitioner identify if they are doing right asana by applying various machine learning and deep learning algorithms for pose estimation. This article has done the concise literature survey on different machine and deep learning algorithm available in computer vision technology. The survey portraits the different classification for human posture estimation and yoga pose estimation along with their contributions and specific difference in between them. Especially the CNN, RNN and LSTM algorithm evolution is briefly narrated in this concise survey for yoga pose estimation.

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“…As such, the sports of aikido, archery, badminton, climbing, counter movement jumping, cricket, fencing, (American/Australian) football, golf, hammer throwing, handball, hockey, karate, kickboxing, ski jumping, skiing, Tai-chi, and yoga, which contained less research regarding their domain (N < 3), are presented here and shown in Table 18. The field research ranged from injury prediction and identification [119,120], to pose recognition and evaluation [121][122][123], virtual coaching and coaching assistants [124][125][126], and VR systems [127,128]. The AI coach system for pose tracking was used by volunteers and a questionnaire reported that they were satisfied with the system.…”

Section: Other Sportsmentioning

confidence: 99%

A Systematic Literature Review of Intelligent Data Analysis Methods for Smart Sport Training

Rajšp

Fister

2020

Applied Sciences

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The rapid transformation of our communities and our way of life due to modern technologies has impacted sports as well. Artificial intelligence, computational intelligence, data mining, the Internet of Things (IoT), and machine learning have had a profound effect on the way we do things. These technologies have brought changes to the way we watch, play, compete, and also train sports. What was once simply training is now a combination of smart IoT sensors, cameras, algorithms, and systems just to achieve a new peak: The optimum one. This paper provides a systematic literature review of smart sport training, presenting 109 identified studies. Intelligent data analysis methods are presented, which are currently used in the field of Smart Sport Training (SST). Sport domains in which SST is already used are presented, and phases of training are identified, together with the maturity of SST methods. Finally, future directions of research are proposed in the emerging field of SST.

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Recognition of Yoga poses through an interactive system with Kinect based on confidence value

Cited by 12 publications

References 12 publications

A Systematic Review of the Application of Camera-Based Human Pose Estimation in the Field of Sport and Physical Exercise

A Systematic Review of the Application of Camera-Based Human Pose Estimation in the Field of Sport and Physical Exercise

Yoga Pose Estimation along with Human Posture Detection using Deep Learning Approach

A Systematic Literature Review of Intelligent Data Analysis Methods for Smart Sport Training

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