Local sensor system for badminton smash analysis

Kiang, Chang Tai; Yoong, Chan Kuan; Spowage, A.C.

doi:10.1109/imtc.2009.5168575

Cited by 14 publications

(5 citation statements)

References 4 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…4 (b) due to a relatively large PZT patch. Therefore, the microcontroller will be waked up for operation in an acceptable time range compared with the general badminton ball hitting process which takes about 0.5 to 1 second [32].…”

Section: Design Methodologymentioning

confidence: 99%

A self-power flexible piezoelectric sensing system for badminton training monitoring

Wang

Fan

Feng

2021

IEICE Electron. Express

View full text Add to dashboard Cite

Monitoring of training, especially the use of soft devices, is difficult but has become more and more important for human health. In this paper, a self-power flexible piezoelectric sensing system for badminton training based on polyvinylidene fluoride (PVDF) piezoelectric film sensor is designed and experimentally verified. The sensing array is divided as 3 ◊ 3 chessboard-like areas, which contain thin-film transductors to determine the hitting position and force. The system owns a linear relationship between force and generated electric signal with a sensitivity of 0.377 V/N and the minimum sampling interval of 1s. Furthermore, the piezoelectric Lead Zirconium titanite (PZT) patch behind the racket is employed as a power source to support the sensing circle. This work paves a new way for the application of artificial intelligence in the human health area and the Internet of Things.

show abstract

Section: Design Methodologymentioning

confidence: 99%

A self-power flexible piezoelectric sensing system for badminton training monitoring

Wang

Fan

Feng

2021

IEICE Electron. Express

View full text Add to dashboard Cite

show abstract

“…It is important to note that empirical evidence supporting the efficacy of HIIT in enhancing a tennis player's stroke speed remains relatively limited, with one study standing as an exception [36]. Several studies do suggest, however, that batting speed may be influenced by factors such as motor skill proficiency and muscle contraction velocity [9,36,65].…”

Section: Effect Of Hiit Training On Speed In Racket Sports Playersmentioning

confidence: 99%

“…To succeed, athletes in this field must possess a blend of speed, strength, and exceptional aerobic endurance [6,7]. During competitions, the body alternates between periods of high-intensity work, using intramuscular phosphate and glycolysis to replenish energy stores and restore homeostasis [8,9]. The ATP-CP energy system is vital for brief bursts of energy and shifts as energy demands change during the match.…”

Section: Introductionmentioning

confidence: 99%

Effects of high-intensity interval training on strength, speed, and endurance performance among racket sports players: A systematic review

Liu,

Abdullah,

Abu Saad

2024

PLoS ONE

View full text Add to dashboard Cite

This study aims to present a critical review of the existing literature on the effects of High-Intensity Interval Training (HIIT) on strength, speed, and endurance performance among racket sports athletes. This study conducted a systematic literature review by PRISMA guidelines. Various well-known academic and scientific databases were used for research collection, including PubMed, EBSCOhost, Scopus, Web of Science, and Google Scholar. Out of 27 relevant studies, 10 were selected for inclusion in this systematic review, all meeting the required inclusion criteria. The quality of each study was assessed using the PEDro scale, with scores ranging from 3 to 5 for the selected studies. HIIT was found to improve racket players’ VO2 max (maximum oxygen uptake), running and repetitive sprint performance, jumping performance, and hitting speed during play. Current findings indicate that HIIT can significantly benefit athletic performance. Long-term HIIT allows athletes to enhance their power while improving crucial variables related to both aerobic and anaerobic endurance. This anaerobic endurance and explosive power type is particularly vital for racket sports players. For example, athletes in table tennis and badminton must exert maximum effort during high-intensity middle and back-court play. Racket athletes also need to maintain a stable state while preserving ball speed and positioning, and must quickly recover to prepare for the next rally. This training mechanism can assist athletes in honing their skills and achieving more efficient hitting quality. Therefore, this paper recommends that racket sports athletes incorporate HIIT into their regular training routines. The suggested frequency is three times per week, with each training session lasting 30–40 minutes, and a total duration of six to eight weeks. Trial registration. Systematic Review Registration: [https://inplasy.com/], identififier[INPLASY20230080].

show abstract

“…They studied 12 different types of badminton strokes and stances. There are studies and state‐of‐the‐art frameworks that investigate various racquet sports like: badminton (Kiang et al, 2009), tennis (Pei et al, 2017; Whiteside et al, 2017), golf (Ghasemzadeh et al, 2009), and so on where the researchers were tracking and studying the swing of the racquet using IMU sensors. However, the individual variations and external factors, such as motion and device artifacts, experiment settings, individual gameplan, tactics, and so on, can also lead to poor performance, generalizability, and scalability of the overall framework.…”

Section: Disciplines In Sports Analyticsmentioning

confidence: 99%

Sports analytics review: Artificial intelligence applications, emerging technologies, and algorithmic perspective

Ghosh

Ramamurthy

Chakma

et al. 2023

WIREs Data Min & Knowl

View full text Add to dashboard Cite

The rapid and impromptu interest in the coupling of machine learning (ML) algorithms with wearable and contactless sensors aimed at tackling real‐world problems warrants a pedagogical study to understand all the aspects of this research direction. Considering this aspect, this survey aims to review the state‐of‐the‐art literature on ML algorithms, methodologies, and hypotheses adopted to solve the research problems and challenges in the domain of sports. First, we categorize this study into three main research fields: sensors, computer vision, and wireless and mobile‐based applications. Then, for each of these fields, we thoroughly analyze the systems that are deployable for real‐time sports analytics. Next, we meticulously discuss the learning algorithms (e.g., statistical learning, deep learning, reinforcement learning) that power those deployable systems while also comparing and contrasting the benefits of those learning methodologies. Finally, we highlight the possible future open‐research opportunities and emerging technologies that could contribute to the domain of sports analytics.This article is categorized under: Technologies > Machine Learning Technologies > Artificial Intelligence Technologies > Internet of Things

show abstract

Local sensor system for badminton smash analysis

Cited by 14 publications

References 4 publications

A self-power flexible piezoelectric sensing system for badminton training monitoring

A self-power flexible piezoelectric sensing system for badminton training monitoring

Effects of high-intensity interval training on strength, speed, and endurance performance among racket sports players: A systematic review

Sports analytics review: Artificial intelligence applications, emerging technologies, and algorithmic perspective

Contact Info

Product

Resources

About