第五届基于传感器的活动识别与交互国际研讨会论文集

B. Urban, T. Kirste
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引用次数: 2

摘要

可穿戴传感器可以更好、更低调地识别人类活动和休息、睡眠、压力状态,并推动量化自我运动的持续趋势。作为一种使能技术,强大而廉价的mems芯片(微机电系统)推动了各种移动设备的渗透。因此,这些设备不仅在一般客户产品方面,而且在工业环境中作为集成系统获得了很高的兴趣,无论哪种方式都可以实现对复杂生命过程和工作场所情况的持续监控。研究面临的另一个挑战是人类在流动性和需要高度关注的情况下有限的互动能力。需要找到新的替代方法,以便利用人的一切能力,实现安全和不引人注目的互动。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Proceedings of the 5th International Workshop on Sensor-based Activity Recognition and Interaction
Wearable sensors potentially enable for a better and unobtrusive recognition of human activity and the state of rest, sleep, stress and drive the ongoing trend of the quantified self-movement. As an enabling technology, powerful, while yet inexpensive MEMS-Chips (micro-electro-mechanical system) push the penetration of a broad variety of mobile devices. Thereby, these devices gain high interest, not only in terms of general customer products, but also as integrated systems in an industrial context, either way to enable continuous monitoring of complex life processes and workplace situations. Another challenge that research is facing concerns the limited human abilities of interaction in context of mobility and in situations, in which high attention is being demanded. New and alternative ways are needed to be found in order to take advantage of all human capabilities to enable safe and unobtrusive interaction.
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