Collection and Processing of Data from Wrist Wearable Devices in Heterogeneous and Multiple-User Scenarios
Collection and Processing of Data from Wrist Wearable Devices in Heterogeneous and Multiple-User Scenarios
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DOI：
10.3390/s16091538
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发表时间：
2016-09-01
期刊：
影响因子：
3.9
通讯作者：
Santos-Gago, Juan M.
中科院分区：
文献类型：
--
作者：
de Arriba-Perez, Francisco;Caeiro-Rodriguez, Manuel;Santos-Gago, Juan M.
近年来，我们见证了移动和可穿戴技术的发展，以收集人类生命体征和活动的数据。如今，手腕可穿戴设备，包括传感器（例如，心率，加速度计，计步器），提供有价值的数据在市场上很常见。我们正在对这类数据进行分析利用，以支持教育背景下的学习者和教师。更准确地说，定义睡眠和压力指标是为了帮助教师和学习者调节他们的活动。在此开发过程中，我们已经确定了与可穿戴设备数据收集和处理相关的互操作性挑战。对于从可穿戴设备收集数据到第三方系统的方式，不同的供应商采用了特定的方法。这阻碍了我们正在进行的这种事态发展。本文有助于识别此类场景中的关键互操作性问题，并提出解决这些问题的指导方针。考虑到这些主题，这项工作是在物联网和机器对机器领域正在进行的标准化活动的背景下进行的。
Over recent years, we have witnessed the development of mobile and wearable technologies to collect data from human vital signs and activities. Nowadays, wrist wearables including sensors (e.g., heart rate, accelerometer, pedometer) that provide valuable data are common in market. We are working on the analytic exploitation of this kind of data towards the support of learners and teachers in educational contexts. More precisely, sleep and stress indicators are defined to assist teachers and learners on the regulation of their activities. During this development, we have identified interoperability challenges related to the collection and processing of data from wearable devices. Different vendors adopt specific approaches about the way data can be collected from wearables into third-party systems. This hinders such developments as the one that we are carrying out. This paper contributes to identifying key interoperability issues in this kind of scenario and proposes guidelines to solve them. Taking into account these topics, this work is situated in the context of the standardization activities being carried out in the Internet of Things and Machine to Machine domains.