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Application of Internet of Things and artificial intelligence for smart fitness: A survey

机译：东西互联网和人工智能智能健身的应用：调查

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摘要

The revolution of Internet of Things (IoT) is pervading many facets of our everyday life. Among the multiple IoT application domains, well-being is becoming one of the popular scenarios in IoT which aims to offer new services including smart fitness. This paper focuses on smart fitness covering IoT-based solutions for this domain as well as the impacts of artificial intelligence and social-IoT. IoT-based smart fitness is divided into three categories: Fitness trackers (including wearable and non-wearable sensors), movement analysis and fitness applications. Data collected from IoT-based smart fitness and users could be used for enhancing training performance by Artificial Intelligence (AI)-based algorithms. Sensor to sensor relationship is another notable topic which can be implemented by social-IoT that can share data, information and experiences of users? training from different places and times. In this his study a comprehensive review on different types of fitness trackers and fitness applications in provided and followed by a review of AI algorithms used in smart fitness scenarios. Lastly detail discussions on the benefits and the potential problems of smart fitness are presented and a shortlist of existing gaps and potential future work have been identified and proposed.
机译：事情革命（物联网）正在弥补我们日常生活的许多方面。在多个IOT应用域中，福祉正在成为IOT中的流行情景之一，旨在提供包括智能健身的新服务。本文重点介绍了智能健身，涵盖了该领域的基于物联网的解决方案以及人工智能和社会物联网的影响。基于物联网的智能健身分为三类：健身跟踪器（包括可穿戴和不可穿戴传感器），运动分析和健身应用。从基于物联网的智能健身和用户收集的数据可用于通过人工智能（AI）基于算法来提高培训性能。传感器到传感器关系是另一个值得注意的主题，可以通过社交物联网来实现，可以共享用户的数据，信息和经验？来自不同地方和时间的培训。在此，他研究了对不同类型的健身跟踪器和健身应用的全面审查，然后审查了智能健身情景中使用的AI算法。介绍了对智能健身的福利和潜在问题的详细讨论，并且已经确定并提出了现有差距的缺点和潜在的未来工作。

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