用于人体姿态和表面检测与康复的可穿戴传感器网格结构

Proceedings of the 14th International Conference on Information Processing in Sensor Networks Pub Date : 2015-04-13 DOI:10.1145/2737095.2742555

A. Hermanis, R. Cacurs, K. Nesenbergs, M. Greitans, E. Syundyukov, L. Selavo

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引用次数: 9

摘要

我们提出了一种用于智能织物的有线和无线传感器混合架构，其应用包括身体动力学和形状监测以及患者康复。我们的系统能够使用传统的低成本硬件以50Hz的采样率从多达200个身体传感器获取数据。传感和数据处理是实时完成的，结果可以在智能手机，平板电脑或pc上以3D视觉形式或作为警报。该演示的用户体验将包括试穿带有形状感应织物的智能服装，并实时观察屏幕上的身体形状动态。

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Wearable sensor grid architecture for body posture and surface detection and rehabilitation

We propose a hybrid architecture of wired and wireless sensors for smart fabric with applications including body dynamics and shape monitoring and patient rehabilitation. Our system is capable of acquiring data from up to 200 on-body sensors with 50Hz sampling rate using conventional low-cost hardware. The sensing and data processing is done in real time and the results available on a smaptphone, tablet or pc in 3D visual form or as alerts. The user experience of the demo will include trying out smart clothing that is enabled with the shape sensing fabric and observing the body shape dynamics on-screen in real time.

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Proceedings of the 14th International Conference on Information Processing in Sensor Networks

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