演示:使用可穿戴设备学习人类动态

S. Faye, Raphaël Frank
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引用次数: 4

摘要

最近的技术进步使得小型化传感器的发展和各种连接对象的出现成为可能。无论是智能手机还是更广泛意义上的可穿戴设备,这些设备的多样性及其可访问性为计算机科学的应用开辟了新的领域[2,3]。智能手表正在市场上蓬勃发展,它将成为未来几年塑造互联网的研究中不可或缺的一部分,即大数据、传感系统和人类行为。我们的演示就在这一背景下,旨在展示这些新兴技术在应对工业和科学界引入的问题和思维方式方面的潜力,这些问题和思维方式通常仅限于智能手机传感框架[1]。此外,我们计划展示我们的研究平台SWIPE,该平台致力于通过可穿戴设备生态系统收集、研究和学习人类动态。一个简短的演讲视频可以在http://swipe.sfaye.com/mobisys15/上找到。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Demo: Using Wearables to Learn from Human Dynamics
Recent technological advances have allowed the development of miniaturized sensors and the emergence of a wide range of connected objects. Whether it's smartphones or in the broader sense wearables, the diversity of these devices and their accessibility opens up new fields for applications in the computer sciences [2, 3]. Smartwatches, which are experiencing a boom on the market, will be integral to the research that will shape the Internet in the years to come, namely big data, sensing systems and human behavior. Our demonstration falls within this context and aims to demonstrate the potential of these emerging technologies to respond to problems and to way of thinking introduced by industry and the scientific community, which are generally limited to smartphone sensing frameworks [1]. Further, we plan to present our research platform, SWIPE, which is dedicated to collecting, studying and learning about human dynamics by means of an ecosystem of wearables. A short presentation video is available online at http://swipe.sfaye.com/mobisys15/.
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