Spine versus porcupine: a study in distributed wearable activity recognition
Spine versus porcupine: a study in distributed wearable activity recognition
复制标题
脊柱与豪猪：分布式可穿戴活动识别的研究
DOI：
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发表时间：
2004
期刊：
影响因子：
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通讯作者：
Hans
中科院分区：
文献类型：
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作者：
Kristof Van Laerhoven;Hans
本文旨在探索一种替代的、更加嵌入式的方法来识别人的运动和姿势，使用可以轻松分布在衣服中的传感器类型。迄今为止，此类研究的很大一部分是通过精心定位的加速度计进行的，从而获得了相当好的识别率。另一种方法的目标是更普遍的传感视觉，其中衣服上布满了小型嵌入式传感器。通过增加传感器的数量，同时降低其各自的信息质量，两种方法之间的初步比较研究着眼于算法要求的优缺点和差异。
This paper seeks to explore an alternative and more embedded-oriented approach to the recognition of a person's motion and pose, using sensor types that can easily be distributed in clothing. A large proportion of this type of research so far has been carried out with carefully positioned accelerometers, resulting in fairly good recognition rates. An alternative approach targets a more pervasive sensing vision where the clothing is saturated with small, embedded sensors. By increasing the quantity of sensors, while decreasing their individual information quality, a preliminary comparative study between the two approaches looks at the pros, cons, and differences in algorithm requirements.