An evaluation of wearable activity monitoring devices

PDM '13 Pub Date : 2013-10-22 DOI:10.1145/2509352.2512882
Fangfang Guo, Yu Li, M. Kankanhalli, M. S. Brown
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引用次数: 91

Abstract

This paper examines an increasingly relevant topic in the multimedia community of wearable devices that record the physical activity of a user throughout a day. While activity and other accelerometry-based data has been shown effective in various multimedia applications -- from context-aware music retrieval to approximating carbon footprint -- the most promising role of these target application for healthcare and personal fitness. Recently, several low-cost devices have become available to consumers. In this paper, we perform an evaluation on the most popular devices available on the market (in particular Fitbit and Nike+) and report our findings in terms of accuracy, type of data provided, available APIs, and user experience. This information is useful for researchers considering incorporating these activity-based data streams into their research and for getting a better idea of the reliability and accuracy for use in life-logging and other multimedia applications.
可穿戴活动监测设备的评估
本文探讨了可穿戴设备多媒体社区中一个日益相关的话题,该设备记录了用户一整天的身体活动。虽然基于活动和其他加速度测量的数据已在各种多媒体应用中显示出有效性,从上下文感知音乐检索到近似碳足迹,但这些目标应用在医疗保健和个人健身方面最有希望发挥作用。最近,一些低成本的设备已经向消费者开放。在本文中,我们对市场上最流行的设备(特别是Fitbit和Nike+)进行了评估,并报告了我们在准确性、提供的数据类型、可用api和用户体验方面的发现。这些信息对于考虑将这些基于活动的数据流整合到他们的研究中以及更好地了解在生活记录和其他多媒体应用中使用的可靠性和准确性的研究人员非常有用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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