Abstract
Wearable devices, or wearables, designed to be attached to the human body, can gather personalized real-time data and continuously monitor an individual's health status and physiological disposition in a non-invasive manner. Intelligent wearables integrate advanced machine learning algorithms to process complex data patterns and provide accurate insights. As a result, intelligent wearables have emerged as a ground-breaking innovation in the fields of sports and health, introducing a new paradigm in kinematic analysis and patient data evaluation. For example, virtual coaches offer feedback on athletes' performance, whereas virtual physicians assist in customizing medication for patients. This article provides an overview of various types of intelligent wearables and their applications in health and sports, categorizes machine learning algorithms, and introduces the wireless body area sensor network (WBASN) used for communication in wearable sensors. Additionally, we discuss potential challenges and development directions that could shape the future of intelligent wearables and propose effective solutions for their continued enhancement. This article offers valuable insights into the exciting potential of intelligent wearables to transform healthcare and sports.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 1-42 |
| Number of pages | 42 |
| Journal | ACM Computing Surveys |
| Volume | 56 |
| Issue number | 7 |
| DOIs | |
| State | Published - Jul 31 2024 |
Bibliographical note
Publisher Copyright:© 2024 Copyright held by the owner/author(s). Publication rights licensed to ACM.
Keywords
- Artificial intelligence
- health
- machine learning
- sports
- wearables
ASJC Scopus subject areas
- Theoretical Computer Science
- General Computer Science
