Monitoring Biometric Data of a Player Using a Wearable Device in Real Time for Sports Applications

被引:0
作者
Nithya, N. [1 ]
Nallavan, G. [2 ]
机构
[1] Panimalar Engn Coll, Dept Elect & Commun, Chennai 600123, India
[2] Tamil Nadu Phys Educ & Sports Univ, Dept Sports Technol, Chennai 600127, India
关键词
Wearable device; Biometric data acquisition; Sports training; Strain gauge sensor; Non-invasive; MC SENSOR;
D O I
10.1007/s11277-023-10800-x
中图分类号
TN [电子技术、通信技术];
学科分类号
0809 ;
摘要
On-field heart rate and physiological fitness makes the player more active on the ground if his fitness level is maintained from beginning till the last. This is the current demand in the modern sports field. For this reason researchers are developing devices to be incorporated in training sessions to monitor the health parameters and the physical fitness of the players. The aim of the research paper is to present a wearable device to obtain the biometric information that is, the muscle contractions, temperature and pulse rate of a player during his training session. Strain gauges are used to predict the muscular contractions in non-invasive way to forecast the muscle strain for every shot during sports activity. The designed wearable system includes the integration two strain gauge sensors placed on human arm, along with the temperature and pulse sensor encapsulated into a separate module. The developed system measures the strain, temperature and pulse rate in real time and updates the player with these details instantly. A dedicated user interface is developed so that the player and the coach can review the health details instantly in his mobile or laptop. The prototype is powered with a 10,000 mAh rechargeable battery.
引用
收藏
页码:981 / 993
页数:13
相关论文
共 50 条
  • [31] A Wearable Navigation Device for Visually Impaired People Based on the Real-Time Semantic Visual SLAM System
    Chen, Zhuo
    Liu, Xiaoming
    Kojima, Masaru
    Huang, Qiang
    Arai, Tatsuo
    [J]. SENSORS, 2021, 21 (04) : 1 - 14
  • [32] Pervasive wearable device for free tissue transfer monitoring based on advanced data analysis: clinical study report
    Berthelot, Melissa
    Henry, Francis Patrick
    Hunter, Judith
    Leff, Daniel
    Wood, Simon
    Jallali, Navid
    Dex, Elizabeth
    Lysakova, Ladislava
    Lo, Benny
    Yang, Guang-Zhong
    [J]. JOURNAL OF BIOMEDICAL OPTICS, 2019, 24 (06)
  • [33] Real Time Monitoring application using sEMG : Wrist Watch
    Khan, M. S.
    [J]. 2014 INTERNATIONAL CONFERENCE ON ADVANCES IN ENGINEERING AND TECHNOLOGY RESEARCH (ICAETR), 2014,
  • [34] Real Time Monitoring application using sEMG: Wrist Watch
    Khan, M. S.
    [J]. 2014 INTERNATIONAL CONFERENCE ON ADVANCES IN ENGINEERING AND TECHNOLOGY RESEARCH (ICAETR), 2014,
  • [35] A real-time, personalized sleep intervention using mathematical modeling and wearable devices
    Song, Yun Min
    Choi, Su Jung
    Park, Se Ho
    Lee, Soo Jin
    Joo, Eun Yeon
    Kim, Jae Kyoung
    [J]. SLEEP, 2023, 46 (09)
  • [36] Real-Time Seizure Detection Using Behind-the-Ear Wearable System
    Lehnen, Jamie
    Venkatesh, Pooja
    Yao, Zhuoran
    Aziz, Abdul
    Nguyen, Phuc V. P.
    Harvey, Jay
    Alick-Lindstrom, Sasha
    Doyle, Alex
    Podkorytova, Irina
    Perven, Ghazala
    Hays, Ryan
    Zepeda, Rodrigo
    Das, Rohit R.
    Ding, Kan
    [J]. JOURNAL OF CLINICAL NEUROPHYSIOLOGY, 2025, 42 (02) : 118 - 125
  • [37] Circadian Rhythm Analysis Using Wearable Device Data: Novel Penalized Machine Learning Approach
    Li, Xinyue
    Kane, Michael
    Zhang, Yunting
    Sun, Wanqi
    Song, Yuanjin
    Dong, Shumei
    Lin, Qingmin
    Zhu, Qi
    Jiang, Fan
    Zhao, Hongyu
    [J]. JOURNAL OF MEDICAL INTERNET RESEARCH, 2021, 23 (10)
  • [38] Monitoring and Predicting Occupant's Sleep Quality by Using Wearable Device OURA Ring and Smart Building Sensors Data (Living Laboratory Case Study)
    Malakhatka, Elena
    Al Rahis, Anas
    Osman, Osman
    Lundqvist, Per
    [J]. BUILDINGS, 2021, 11 (10)
  • [39] Wearable Hand Orthotic Device for Rehabilitation: Hand Therapy with Multi-Mode Control and Real-Time Feedback
    Megalingam, Rajesh Kannan
    Manoharan, Sakthiprasad Kuttankulangara
    Mohandas, Sreekanth Makkal
    Reddy, Chennareddy Pavanth Kumar
    Vijay, Egumadiri
    Naveen, Polisetty Naga Venkata Koteswara
    Chandrika, Dega
    [J]. APPLIED SCIENCES-BASEL, 2023, 13 (06):
  • [40] Challenges for data collecting of teacher and student' behavior in different types of class using video and wearable device
    Matsui, Kanae
    Kasai, Tatsuhiko
    Sakai, Keiya
    [J]. 2019 JOINT 8TH INTERNATIONAL CONFERENCE ON INFORMATICS, ELECTRONICS & VISION (ICIEV) AND 2019 3RD INTERNATIONAL CONFERENCE ON IMAGING, VISION & PATTERN RECOGNITION (ICIVPR) WITH INTERNATIONAL CONFERENCE ON ACTIVITY AND BEHAVIOR COMPUTING (ABC), 2019, : 56 - 61