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Wearable Technology and Its Influence on Motor Development and Biomechanical Analysis

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  • Pedro Morouço

    (ESECS, Polytechnic University of Leiria, 2411-901 Leiria, Portugal
    CIDESD, Research Center in Sports Sciences, Health Sciences and Human Development, 6201-001 Covilhã, Portugal)

Abstract

The convergence among biomechanics, motor development, and wearable technology redefines our understanding of human movement. These technologies allow for the continuous monitoring of motor development and the state of motor abilities from infancy to old age, enabling early and personalized interventions to promote healthy motor skills. For athletes, they offer valuable insights to optimize technique and prevent injuries, while in old age, they help maintain mobility and prevent falls. Integration with artificial intelligence further extends these capabilities, enabling sophisticated data analysis. Wearable technology is transforming the way we approach motor development and maintenance of motor skills, offering unprecedented possibilities for improving health, performance, and quality of life at every stage of life. The promising future of these technologies paves the way for an era of more personalized and effective healthcare, driven by innovation and interdisciplinary collaboration.

Suggested Citation

  • Pedro Morouço, 2024. "Wearable Technology and Its Influence on Motor Development and Biomechanical Analysis," IJERPH, MDPI, vol. 21(9), pages 1-9, August.
  • Handle: RePEc:gam:jijerp:v:21:y:2024:i:9:p:1126-:d:1464522
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    References listed on IDEAS

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    1. Filipe Rodrigues & Christophe Domingos & Diogo Monteiro & Pedro Morouço, 2022. "A Review on Aging, Sarcopenia, Falls, and Resistance Training in Community-Dwelling Older Adults," IJERPH, MDPI, vol. 19(2), pages 1-11, January.
    2. Amir Zadeh & David Taylor & Margaret Bertsos & Timothy Tillman & Nasim Nosoudi & Scott Bruce, 2021. "Predicting Sports Injuries with Wearable Technology and Data Analysis," Information Systems Frontiers, Springer, vol. 23(4), pages 1023-1037, August.
    3. Chung-Chih Lin & Chih-Yu Yang & Zhuhuang Zhou & Shuicai Wu, 2018. "Intelligent health monitoring system based on smart clothing," International Journal of Distributed Sensor Networks, , vol. 14(8), pages 15501477187, August.
    4. Alberto Ranavolo & Francesco Draicchio & Tiwana Varrecchia & Alessio Silvetti & Sergio Iavicoli, 2018. "Wearable Monitoring Devices for Biomechanical Risk Assessment at Work: Current Status and Future Challenges—A Systematic Review," IJERPH, MDPI, vol. 15(9), pages 1-26, September.
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