Optimal placement of accelerometers for the detection of everyday activities.

Optimal placement of accelerometers for the detection of everyday activities.
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DOI:
10.3390/s130709183
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发表时间:
2013-07-17
期刊:
Sensors (Basel, Switzerland)
影响因子:
--
通讯作者:
Finlay D
Finlay D
中科院分区:
其他
文献类型:
--
作者:
Cleland I;Kikhia B;Nugent C;Boytsov A;Hallberg J;Synnes K;McClean S;Finlay D

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本文介绍了一项调查,以确定最佳位置的加速度计检测范围的日常活动的目的。本文研究了结合放置在不同身体位置的加速度计的数据对活动检测的准确性的影响。8名健康男性参与了研究。数据收集从六个无线三轴加速度计放置在胸部,手腕,下背部,臀部,大腿和脚。活动包括步行、在电动跑步机上跑步、坐、躺、站和上下楼梯。支持向量机提供了所有机器学习算法中最准确的活动检测。虽然来自所有位置的数据提供了相似的准确度水平,但髋关节是使用支持向量机记录活动检测数据的最佳单个位置,提供了比其他研究位置小但明显更好的准确度。将感测位置的数量从一个增加到两个或更多,统计上增加了分类的准确性。当使用两个或更多传感器时,准确度没有显著差异。然而,注意到当试图检测更细粒度的活动时,使用单个或多个加速度计的活动检测的差异可能更明显。因此,未来的工作应调查的影响,加速计放置在更大范围内的这些活动。
This article describes an investigation to determine the optimal placement of accelerometers for the purpose of detecting a range of everyday activities. The paper investigates the effect of combining data from accelerometers placed at various bodily locations on the accuracy of activity detection. Eight healthy males participated within the study. Data were collected from six wireless tri-axial accelerometers placed at the chest, wrist, lower back, hip, thigh and foot. Activities included walking, running on a motorized treadmill, sitting, lying, standing and walking up and down stairs. The Support Vector Machine provided the most accurate detection of activities of all the machine learning algorithms investigated. Although data from all locations provided similar levels of accuracy, the hip was the best single location to record data for activity detection using a Support Vector Machine, providing small but significantly better accuracy than the other investigated locations. Increasing the number of sensing locations from one to two or more statistically increased the accuracy of classification. There was no significant difference in accuracy when using two or more sensors. It was noted, however, that the difference in activity detection using single or multiple accelerometers may be more pronounced when trying to detect finer grain activities. Future work shall therefore investigate the effects of accelerometer placement on a larger range of these activities.
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