Sensor based interactive digital entertainment and gamified training to alleviate basketball player fatigue

被引:0
|
作者
Hou, Yiming [1 ]
Li, Zheng [2 ]
Li, Hongbo [3 ]
机构
[1] Krirk Univ, Sch Phys Educ, Bangkok 10220, Thailand
[2] Beijing City Univ, Int Culture & Commun Dept, Beijing 100083, Peoples R China
[3] Linyi Univ, Coll Phys Educ & Hlth, Linyi 276000, Shandong, Peoples R China
关键词
Sensor; Interactive; Digital entertainment; Gamification training; A basketball player; Exercise fatigue;
D O I
10.1016/j.entcom.2024.100838
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
In recent years, due to the increasing number of basketball games and training activities, basketball players often face the problem of fatigue and injury. This study aims to develop an interactive digital entertainment and gamification training method to provide basketball players with more efficient training methods and enhance their training fun. Sensors can be installed in various key parts of the athlete's body, through the use of highprecision sensor equipment, real-time acquisition of athlete action data, the use of machine learning and data mining technology, real-time analysis and modeling of sensor data to extract key information and movement patterns. Using gamified training theory to design interactive digital entertainment system, develop a series of training scenarios and gamified tasks for different technical elements, combine sensor data and motion analysis results, and provide athletes with personalized training plans and feedback mechanisms to help them improve their technical level. Through an interactive digital entertainment system, basketball players can train and compete in a virtual environment. They can complete various training tasks by interacting with the system, which will give real-time evaluation and guidance based on the athlete's performance to help them correct mistakes, improve technique and improve training results.
引用
收藏
页数:8
相关论文
共 42 条
  • [31] Interactive balance training integrating sensor-based visual feedback of movement performance: a pilot study in older adults
    Michael Schwenk
    Gurtej S Grewal
    Bahareh Honarvar
    Stefanie Schwenk
    Jane Mohler
    Dharma S Khalsa
    Bijan Najafi
    Journal of NeuroEngineering and Rehabilitation, 11
  • [32] Retraction Note: A smart position optimization scheme for badminton doubles based on human–computer interactive training in wireless sensor networks
    Bo Yao
    Na Liang
    EURASIP Journal on Wireless Communications and Networking, 2023
  • [34] RETRACTED ARTICLE: A smart position optimization scheme for badminton doubles based on human–computer interactive training in wireless sensor networks
    Bo Yao
    Na Liang
    EURASIP Journal on Wireless Communications and Networking, 2020
  • [35] GeoPointing on Indoor Maps - Enhancing Compass Sensor Accuracy to Enable Interactive Digital Object Selection in Smartphone-based Map Applications
    Neumann, Robert
    Peitek, Norman
    Cuadrado-Gallego, Juan
    PROCEEDINGS OF THE 10TH ACM INTERNATIONAL SYMPOSIUM ON MOBILITY MANAGEMENT AND WIRELESS ACCESS, 2012, : 63 - 70
  • [36] Interactive Sensor-Based Balance Training in Older Cancer Patients with Chemotherapy-Induced Peripheral Neuropathy: A Randomized Controlled Trial
    Schwenk, Michael
    Grewal, Gurtej S.
    Holloway, Dustin
    Muchna, Amy
    Garland, Linda
    Najafi, Bijan
    GERONTOLOGY, 2016, 62 (05) : 553 - 563
  • [37] Assessing the Post-Activation Performance Enhancement of Upper Limbs in Basketball Athletes: A Sensor-Based Study of Rapid Stretch Compound and Blood Flow Restriction Training
    Cui, Shuang
    Du, Zhihao
    Wang, Nannan
    Zhang, Xiuli
    Li, Zongquan
    Zhang, Yanping
    Wang, Liang
    SENSORS, 2024, 24 (14)
  • [38] Sensor-Based Interactive Balance Training with Visual Joint Movement Feedback for Improving Postural Stability in Diabetics with Peripheral Neuropathy: A Randomized Controlled Trial
    Grewal, Gurtej Singh
    Schwenk, Michael
    Lee-Eng, Jacqueline
    Parvaneh, Saman
    Bharara, Manish
    Menzies, Robert A.
    Talal, Talal K.
    Armstrong, David G.
    Najafi, Bijan
    GERONTOLOGY, 2015, 61 (06) : 567 - 574
  • [39] Real-Time GPU-Based Digital Image Correlation Sensor for Marker-Free Strain-Controlled Fatigue Testing
    Blug, Andreas
    Regina, David Joel
    Eckmann, Stefan
    Senn, Melanie
    Bertz, Alexander
    Carl, Daniel
    Eberl, Chris
    APPLIED SCIENCES-BASEL, 2019, 9 (10):
  • [40] RETRACTION: A smart position optimization scheme for badminton doubles based on human-computer interactive training in wireless sensor networks (Retraction of Vol 2020, art no 233, 2020)
    Yao, Bo
    Liang, Na
    EURASIP JOURNAL ON WIRELESS COMMUNICATIONS AND NETWORKING, 2023, 2023 (01)