Powered by OpenAIRE graph
Found an issue? Give us feedback
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ ZENODOarrow_drop_down
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Article . 2026
License: CC BY
Data sources: ZENODO
ZENODO
Article . 2026
License: CC BY
Data sources: Datacite
ZENODO
Article . 2026
License: CC BY
Data sources: Datacite
versions View all 2 versions
addClaim

Smart Patch for Continuous Biometric Data Collection and Analysis for Athlets

Authors: Dr.D. Karthikeyan; K. Anitha; K. Bhuvaneshwari; M. Charumathi;

Smart Patch for Continuous Biometric Data Collection and Analysis for Athlets

Abstract

Athlete identification using biometric data is an advanced approach that utilizes unique physiological and behavioural characteristics of individuals. Parameters such as heart rate, ECG signals, body temperature and motion patterns are continuously monitored to create a distinct identity profile for each athlete. Unlike traditional identification methods, biometric-based systems provide higher accuracy and security. Wearable devices and smart patches enable real-time data collection during training and competitions. The collected data is processed using microcontrollers and analysed using intelligent algorithms. These systems can recognize athletes based on their unique patterns and detect any abnormalities in performance or health. Wireless communication technologies allow seamless data transfer to mobile applications and cloud platforms. Coaches and trainers can monitor athlete performance and identity remotely through dashboards. This method also helps in preventing impersonation and ensuring fair participation in sports events. Overall, biometric-based athlete identification enhances both security and performance monitoring in modern sports environments. In addition, biometric-based identification systems provide continuous authentication, ensuring that the athlete is verified throughout the activity rather than at a single point in time. This improves security and reduces the chances of identity fraud in competitive sports. The system also supports personalized training by analysing individual performance trends over time. Integration.

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    0
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green