Grip Force Estimation by Emitting Vibration
Grip Force Estimation by Emitting Vibration
复制标题
通过发出振动来估计握力
DOI：
10.1145/3131785.3131829
复制
发表时间：
2017
期刊：
影响因子：
--
通讯作者：
K. Takemura
中科院分区：
文献类型：
--
作者：
N. Funato;K. Takemura
提出了一种基于主动骨传导声传感的握力测量方法，即主动声传感。在我们以前的研究中，我们通过向身体发出振动来估计关节角度、手势和接触力。我们渴望扩展到主动骨传导声音传感的另一种应用，因此，我们试图通过创造一种腕型设备来估计握力。以功率谱密度为特征，采用梯度增强回归树(GBRT)方法确定握力。通过评估实验，估计的握力的平均误差在15N左右，并且证实了可以高精度地确定握力。
We propose a method for determining grip force based on active bone-conducted sound sensing, which is an active acoustic sensing. In our previous studies, we estimated the joint angle, hand pose, and contact force by emitting a vibration to the body. We aspired to expand to an additional application of an active bone-conducted sound sensing, thus, we tried to estimate the grip force by creating a wrist-type device. The grip force was determined by using the power spectral density as the features, and gradient boosted regression trees (GBRT). Through evaluation experiments, the average error of the estimated grip force was around 15 N. Moreover, we confirmed that the grip strength could be determined with high accuracy.