Application of artificial intelligence in wearable devices: Opportunities and challenges

可穿戴计算机 计算机科学 可穿戴技术 领域(数学) 人工智能 人机交互 多媒体 数据科学 嵌入式系统 数学 纯数学
作者
Darius Nahavandi,Roohallah Alizadehsani,Abbas Khosravi,U. Rajendra Acharya
出处
期刊:Computer Methods and Programs in Biomedicine [Elsevier BV]
卷期号:213: 106541-106541 被引量:220
标识
DOI:10.1016/j.cmpb.2021.106541
摘要

Wearable technologies have added completely new and fast emerging tools to the popular field of personal gadgets. Aside from being fashionable and equipped with advanced hardware technologies such as communication modules and networking, wearable devices have the potential to fuel artificial intelligence (AI) methods with a wide range of valuable data.Various AI techniques such as supervised, unsupervised, semi-supervised and reinforcement learning (RL) have already been used to carry out various tasks. This paper reviews the recent applications of wearables that have leveraged AI to achieve their objectives.Particular example applications of supervised and unsupervised learning for medical diagnosis are reviewed. Moreover, examples combining the internet of things, wearables, and RL are reviewed. Application examples of wearables will be also presented for specific domains such as medical, industrial, and sport. Medical applications include fitness, movement disorder, mental health, etc. Industrial applications include employee performance improvement with the aid of wearables. Sport applications are all about providing better user experience during workout sessions or professional gameplays.The most important challenges regarding design and development of wearable devices and the computation burden of using AI methods are presented. Finally, future challenges and opportunities for wearable devices are presented.
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