IPingPong: A Real-time Performance Analyzer System for Table Tennis Stroke’s Movements

Hegazy, Habiba; Abdelsalam, Mohamed; Hussien, Moustafa; Elmosalamy, Seif; Hassan, Yomna M.; Nabil, Ayman; Atia, Ayman

doi:10.1016/j.procs.2020.07.014

Cited by 4 publications

(2 citation statements)

References 19 publications

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“…Player detection and tracking is the major requirement in athletic sports such as running, swimming [198,199], and cycling. In sports such as table tennis [200], squash [201,202], and golf [203], ball detection and tracking and player pose detection [204] are challenging tasks. In ball-centric sports such as rugby, American football, handball, baseball, ball/player detection [205][206][207][208][209][210][211] and tracking [212][213][214][215][216][217][218][219][220][221], analyzing the action of the player [23,[222][223][224][225][226][227], event detection and classification [228][229][230][231][232], performance analysis of player [233][234][235], referee identification and gesture recognition are the major challenging tasks.…”

Section: Miscellaneousmentioning

confidence: 99%

A Comprehensive Review of Computer Vision in Sports: Open Issues, Future Trends and Research Directions

2022

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Recent developments in video analysis of sports and computer vision techniques have achieved significant improvements to enable a variety of critical operations. To provide enhanced information, such as detailed complex analysis in sports such as soccer, basketball, cricket, and badminton, studies have focused mainly on computer vision techniques employed to carry out different tasks. This paper presents a comprehensive review of sports video analysis for various applications: high-level analysis such as detection and classification of players, tracking players or balls in sports and predicting the trajectories of players or balls, recognizing the team’s strategies, and classifying various events in sports. The paper further discusses published works in a variety of application-specific tasks related to sports and the present researcher’s views regarding them. Since there is a wide research scope in sports for deploying computer vision techniques in various sports, some of the publicly available datasets related to a particular sport have been discussed. This paper reviews detailed discussion on some of the artificial intelligence (AI) applications, GPU-based work-stations and embedded platforms in sports vision. Finally, this review identifies the research directions, probable challenges, and future trends in the area of visual recognition in sports.

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Section: Miscellaneousmentioning

confidence: 99%

A Comprehensive Review of Computer Vision in Sports: Open Issues, Future Trends and Research Directions

2022

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“…This paper is an extension work for our previous papers [5,6], the main contribution of this paper relies mainly on classifying the different stroke types (correct/wrong) through various algorithms. Also, to support the system with an AR notification system to increase the table tennis player's skills to the next level by giving the users real-time performance and results.…”

Section: Fig 1 Clarification Of Table Tennis Strokes Techniques Durmentioning

confidence: 99%

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2020

JUSPN

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Table tennis game is based on the speed of the player's response to different attacks and defense strokes. A way to enhance the player's performance and technique while training is to update the player with the mistakes in real-time. This paper presents a system that focuses on detecting the correct and wrong strokes within the following stroke types: Forehand drive, backhand drive, and forehand topspin. By the usage of Augmented Reality, the system helps the players to get their results and direction easily using AR-based mobile application when practicing real-time. A usability study has been made to measure the learning style of the players by letting the players train on different strokes with the system. Moreover, an experiment has been done to measure the efficiency of the application and compare different algorithms to overview their performance in identifying the strokes based on accuracy and time taken.

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