Human Fine Motion Analysis Using Biological Signals

2010 IEEE/ACIS 9th International Conference on Computer and Information Science Pub Date : 2010-08-18 DOI:10.1109/ICIS.2010.143

Masashi Iemoto, M. Toda, S. Sakurazawa, J. Akita, K. Kondo, Yuichi Nakamura

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Abstract

In the field of the interface research, confusion had been discussed since before. However, the research that focused on link of interface and confusion motion is very little. In contrast, in the field of the cognitive research, a lot of study about confusion is researching as a popular theme since before. These studies use video camera or motion capture system as a method to observation and analysis of confusion [1]. Consequently, in the study, we acquire and analyze confusion seen from aspect of the field of cognitive research, and we have aimed to create some application at the interface. In this regard, in the field of the cognitive research use very large-scale system for observe to confusion motion. So, it is difficult to application to interface. For the reason, we experiment on surface Electromyogram. Surface Electromyogram (EMG) is researched new interface and can observe change in muscle force or fine motion for observe of confusion motion. In the result, we were able to confirm some tendency of the EMG in people puzzled

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利用生物信号进行人体精细运动分析

在界面研究领域，一直存在混淆问题。然而，针对界面链接和混淆运动的研究却很少。相比之下，在认知研究领域，对混淆的研究一直是一个热门主题。这些研究使用摄像机或动作捕捉系统作为观察和分析混淆的方法[1]。因此，在研究中，我们从认知研究领域的角度获取和分析困惑，我们的目标是在界面上创造一些应用。在这方面，在认知研究领域中使用非常大规模的系统来观察混淆运动。因此，应用程序很难与接口相结合。为此，我们进行了表面肌电图实验。表面肌电图(EMG)研究了一种新的界面，可以观察肌肉力量或精细运动的变化，用于观察混乱运动。结果证实了困惑人群肌电图的某种倾向

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2010 IEEE/ACIS 9th International Conference on Computer and Information Science

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