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Method for Finger language recognition using EMG and Gyro sensor and Apparatus thereof

机译:利用肌电和陀螺仪传感器进行手指语言识别的方法及其装置

摘要

Provided are a method and apparatus for recognizing sign language using an electromyogram sensor and a gyro sensor. The method includes the steps of (a) receiving a gyro measurement signal and an electromyogram measurement signal from the gyro sensor and the electromyogram sensor which are attached to the body of a subject, (b) determining to which of groups clustered with similar fingerspelling motions the gyro measurement signal belongs, (c) acquiring a Gaussian model for the electromyogram measurement signal, and (d) comparing the acquired Gaussian model with Gaussian candidate models for candidate fingerspelling motions which belong to the group determined in step (b), and recognizing the candidate fingerspelling motion corresponding to the Gaussian candidate model that is most similar to the acquired Gaussian model as the fingerspelling motion of the subject.
机译:提供一种用于使用肌电图传感器和陀螺仪传感器识别手语的方法和设备。该方法包括以下步骤:(a)从附接到受试者身体的陀螺仪传感器和肌电图传感器接收陀螺仪测量信号和肌电图测量信号,(b)确定哪些组以相似的手指拼法运动聚类到哪一组。陀螺仪测量信号所属,(c)获取肌电图测量信号的高斯模型,并且(d)将获取的高斯模型与属于步骤(b)中确定的组的候选手指拼写运动的高斯候选模型进行比较,并进行识别对应于与所获取的高斯模型最相似的高斯候选模型的候选手指拼写运动作为对象的手指拼写运动。

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