Finger Movement Detection Based on Multiple EMG Positions

Apiwat Junlasat, Tanatawan Kamolklang, P. Uthansakul, M. Uthansakul
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引用次数: 6

Abstract

The use of ElectroMyoGraphy (EMG) has been widely applied to many applications. To further develop more sophisticated applications, the more advanced techniques of EMG detections have to be studied. So far there are a few works to study the detection of finger movements using EMG. However, they cannot provide the exact solution of finger detection using only one EMG position. Therefore, this paper presents the finger movement detection based on multiple EMG positions. The investigation is carried out by using Myoware muscle sensors to record EMG signals. The measured EMG signals are captured and processed in a low computational processing unit. The results indicate the successful finding of finger movement detection based on multiple EMG positions.
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基于多个肌电图位置的手指运动检测
肌电图(ElectroMyoGraphy, EMG)已被广泛应用于许多领域。为了进一步开发更复杂的应用,必须研究更先进的肌电检测技术。到目前为止,利用肌电图检测手指运动的研究还很少。然而,他们不能提供准确的解决方案,仅使用一个肌电图位置的手指检测。因此,本文提出了基于多个肌电图位置的手指运动检测方法。这项研究是通过使用myware肌肉传感器记录肌电图信号来进行的。测量的肌电信号被捕获并在一个低计算处理单元中处理。结果表明,基于多个肌电图位置的手指运动检测方法是成功的。
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