Development and evaluation of a low-cost sensor glove for assessment of human finger movements in neurophysiological settings
Development and evaluation of a low-cost sensor glove for assessment of human finger movements in neurophysiological settings
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DOI：
10.1016/j.jneumeth.2008.11.005
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发表时间：
2009-03-30
影响因子：
3
通讯作者：
Classen, Joseph
中科院分区：
文献类型：
--
作者：
Gentner, Reinhard;Classen, Joseph
用于测量手指运动的传感器手套是客观评估运动学参数和新的康复策略的有前途的工具。在这里，一种新型的低成本传感器手套配备有电阻弯曲传感器的描述和评估。对电阻式弯曲传感器进行了改进，以优化测量精度（量化为快速和恒定弯曲后传感器信号的稳定性），并提高传感器线性度，将校准时间从几分钟缩短到仅10秒左右。5名受试者的传感器手套可靠性分析显示，组内相关系数（ICC）为0.93 +/- 0.05，平均标准差为1.59度，总体误差为4.96度，与之前评价的传感器手套相当。通过用户反馈问卷评估，用户接受度和适用性很高。因此，通过微小的修改，电阻式弯曲传感器适用于精确评估人类手指运动。材料成本低（
Sensor gloves for measurements of finger movements are a promising tool for objective assessments of kinematic parameters and new rehabilitation strategies. Here, a novel low-cost sensor glove equipped with resistive bend sensors is described and evaluated. Resistive bend sensors were modified in order to optimize measurement accuracy (quantified as the stability of sensor signal after a fast and constant bending) and to increase sensor linearity, reducing calibration time from several minutes to only similar to 10 s. Reliability analysis of the sensor glove in five subjects showed an intraclass correlation coefficient (ICC) of 0.93 +/- 0.05, a mean standard deviation of 1.59 degrees and an overall error of 4.96 degrees, comparable to previously evaluated sensor gloves. User acceptance and applicability, assessed by a user feedback questionnaire, was high. Thus, with minor modifications, resistive bend sensors are suitable for accurate assessments of human finger movements. The low material costs (