Model for Practice Badminton Basic Skills by using Motion Posture Detection from Video Posture Embedding and One-Shot Learning Technique

Promrit, Nuttachot; Waijanya, Sajjaporn

doi:10.1145/3375959.3375981

Cited by 11 publications

(8 citation statements)

References 11 publications

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“…In addition to the papers presented in Table A4 , Table 4 and Table 5 , there are other papers in which different HPE methods are used in different sports with different interesting objectives. For example, we can find some authors which make use of OpenPose [ 21 ] for action detection or positional predictions of different elements in the sports practice , such as for badminton in [ 51 ], volleyball in [ 52 ], and tennis in [ 53 ]. There are other works with their own HPE implementations looking for real-time forecasting of trajectories, such as for table tennis in [ 54 ].…”

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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“…This system used the 'great' pose as benchmark to detect the 'bad' poses of the athletes in the next few moves. Nuttachot and Sajjaporn [31] proposed a model for practice badminton basic skills which used the pose estimation to collect the human joints in spatial-temporal sequence and compared it with the world-class players' posture as reference. It extracted the posture embedding by triplet loss technique and fed the embedding posture to One-shot Network to find the similarity score between the input posture and reference posture.…”

Section: Postural Assessment Using Markerless-based Approachmentioning

confidence: 99%

Markerless gait estimation and tracking for postural assessment

Tay

Lim

Phang

2022

Multimed Tools Appl

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Postural assessment is crucial in the sports screening system to reduce the risk of severe injury. The capture of the athlete’s posture using computer vision attracts huge attention in the sports community due to its markerless motion capture and less interference in the physical training. In this paper, a novel markerless gait estimation and tracking algorithm is proposed to locate human key-points in spatial-temporal sequences for gait analysis. First, human pose estimation using OpenPose network to detect 14 core key-points from the human body. The ratio of body joints is normalized with neck-to-pelvis distance to obtain camera invariant key-points. These key-points are subsequently used to generate a spatial-temporal sequences and it is fed into Long-Short-Term-Memory network for gait recognition. An indexed person is tracked for quick local pose estimation and postural analysis. This proposed algorithm can automate the capture of human joints for postural assessment to analyze the human motion. The proposed system is implemented on Intel Up Squared Board and it can achieve up to 9 frames-per-second with 95% accuracy of gait recognition.

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“…This research is designed for online lectures, where face-to-face lectures cannot be carried out due to the COVID-19 pandemic. In a study conducted, online learning in badminton lectures showed positive and satisfying student perceptions where the material presented facilitates students in achieving the expected competencies [4].…”

Section: Introductionmentioning

confidence: 98%

Development of Application-Based Badminton Learning Model at Faculty of Sports Science Medan State University

Nasution¹,

Ibrahim²,

Ilham³

2021

Advances in Social Science, Education and Humanities Research

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This research is a development research that aims to improve learning outcomes, develop android-based application media and as a source/learning material that can be used for the continuation of future lectures as well as assisting in the field of sports science, especially in badminton. Development research is the development of learning media in the form of applications that are developed to help improve competence in lecturing badminton games during the COVID-19 pandemic The media developed in the form of learning applications that are used as teaching materials in online and face-to-face learning. The learning application contains lecture materials in each face-to-face amount in the form of lecture descriptions, learning variations videos, quizzes, and other instructions that support the online learning process. The research method used is a quantitative approach and uses the Research & Development (R & D) method from Sugiono by developing products, testing the effectiveness of products that achieve the desired goals. The research sample is the fifth semester students who take the badminton game course in the Physical Education, Health and Recreation Study Program, FIK UNIMED.

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Model for Practice Badminton Basic Skills by using Motion Posture Detection from Video Posture Embedding and One-Shot Learning Technique

Cited by 11 publications

References 11 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

Markerless gait estimation and tracking for postural assessment

Development of Application-Based Badminton Learning Model at Faculty of Sports Science Medan State University

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