Multi-sensor Activity Context Detection for Wearable Computing
Multi-sensor Activity Context Detection for Wearable Computing
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DOI：
10.1007/978-3-540-39863-9_17
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发表时间：
2003-11
影响因子：
4.1
通讯作者：
Nicky Kern;B. Schiele;A. Schmidt
中科院分区：
文献类型：
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作者：
Nicky Kern;B. Schiele;A. Schmidt
对于可穿戴计算应用，人类活动是用户上下文的中心部分。为了避免用户烦恼，应使用身体佩戴的传感器自动采集。我们建议使用分布在身体上的多个加速度传感器，因为它们重量轻，体积小，价格便宜。此外，活动最好在发生的地方进行测量。我们提出了一个硬件平台，我们开发了这个问题的调查和结果，在哪里放置传感器，以及如何提取的上下文信息。
For wearable computing applications, human activity is a central part of the user’s context. In order to avoid user annoyance it should be acquired automatically using body-worn sensors. We propose to use multiple acceleration sensors that are distributed over the body, because they are lightweight, small and cheap. Furthermore activity can best be measured where it occurs. We present a hardware platform that we developed for the investigation of this issue and results as to where to place the sensors and how to extract the context information.