A table tennis performance analyzer via a single-view low-quality camera

Triamlumlerd, Sirichai; Pracha, Manoch; Kongsuwan, Pauline; Angsuchotmetee, Pongtorn

doi:10.1109/ieecon.2017.8075888

Cited by 7 publications

(2 citation statements)

References 4 publications

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“…Neither of the previous studies stated that an IR depth camera had been used in table tennis, relying on player motions for the optimal performance. The paper has a maximum exactness of 96.29% [20] instead of an IR-depth camera used for the performance of the player when balls are received. A large amount of noise is often produced by the usage of the IR depth camera which affects data collection and consequently the system classification [21].…”

Section: Background Of the Ir Depth Camera Sensormentioning

confidence: 99%

Untitled

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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Section: Background Of the Ir Depth Camera Sensormentioning

confidence: 99%

Untitled

2020

JUSPN

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“…For the tennis automatic training machine, an urgent requirement is to obtain the interaction data between the tennis racket and ball [8]. As a result, building a physical monitor system on the tennis racket is highly demanded and necessary in real application [9]. However, with no doubt that its stronger hitting force and soft racket net will make the building of a monitoring system more difficult.…”

Section: Introductionmentioning

confidence: 99%

A Battery-free Pressure Sensing System Based on Soft Piezoelectric Device for Tennis Training

GONG

FAN

2022

mech

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In this work, a battery-free position and pressure monitoring system based on soft polyvinylidene fluoride (PVDF) piezoelectric thin film with helical coils circuit design is designed and used for tennis training. The racket surface is firstly divided into block areas and the sensing transducers are placed in each of them to detect the hitting position and force in these areas. To modify the extensibility of the system for tennis training, all the devices are connected by the S-shape helical line, which has two states: curled at usual and straight at work. Four piezoelectric patches form a series system to power the energy harvest system and wireless communication module, which help to realize the battery-free and wearable functions. A linear relation between the hitting force and induced electric voltage is experiment verified with the slope of 0.05 V/N. The system is also verified in the real tennis ball game monitoring for the hitting time and hitting position, benefiting the future application of wearable devices in artificial intelligence and the Internet of Things (IoT).

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A Volleyball Movement Trajectory Tracking Method Adapting to Occlusion Scenes

Liu

et al. 2018

Communications in Computer and Information Science

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A table tennis performance analyzer via a single-view low-quality camera

Cited by 7 publications

References 4 publications

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A Battery-free Pressure Sensing System Based on Soft Piezoelectric Device for Tennis Training

A Volleyball Movement Trajectory Tracking Method Adapting to Occlusion Scenes

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