会员体验
专利管家(专利管理)
工作空间(专利管理)
风险监控(情报监控)
数据分析(专利分析)
侵权分析(诉讼无效)
联系我们
交流群
官方交流:
QQ群: 891211   
微信请扫码    >>>
现在联系顾问~
热词
    • 7. 发明授权
    • Systems, articles, and methods for gesture identification in wearable electromyography devices
    • 用于佩戴式肌电描记器中手势识别的系统,文章和方法
    • US09389694B2
    • 2016-07-12
    • US14520081
    • 2014-10-21
    • Thalmic Labs Inc.
    • Pedram AtaeeIdris S. AleemMatthew Bailey
    • G06F3/01A61B5/00A61B5/0488
    • G06F3/017A61B5/0488A61B5/681A61B5/7267A61B2562/063
    • Systems, articles, and methods perform gesture identification with limited computational resources. A wearable electromyography (“EMG”) device includes multiple EMG sensors, an on-board processor, and a non-transitory processor-readable memory that stores data and/or processor-executable instructions for performing gesture identification. The wearable EMG device detects and determines features of signals when a user performs a physical gesture, and processes the features by performing a decision tree analysis. The decision tree analysis invokes a decision tree stored in the memory, where storing and executing the decision tree may be managed by limited computational resources. The outcome of the decision tree analysis is a probability vector that assigns a respective probability score to each gesture in a gesture library. The accuracy of the gesture identification may be enhanced by performing multiple iterations of the decision tree analysis across multiple time windows of the EMG signal data and combining the resulting probability vectors.
    • 系统,文章和方法以有限的计算资源执行手势识别。 可穿戴肌电图(“EMG”)装置包括多个EMG传感器,车载处理器以及存储用于执行手势识别的数据和/或处理器可执行指令的非暂时处理器可读存储器。 可穿戴EMG设备检测并确定用户执行物理手势时的信号特征,并通过执行决策树分析来处理特征。 决策树分析调用存储在存储器中的决策树,其中可以通过有限的计算资源来管理决策树的存储和执行。 决策树分析的结果是向手势库中的每个姿态分配各自的概率分数的概率向量。 可以通过在EMG信号数据的多个时间窗口上执行决策树分析的多次迭代并组合所得到的概率向量来增强手势识别的准确性。