论文标题
肌电控制中惯性测量单元传感器集成的视角差异
Differences in Perspective on Inertial Measurement Unit Sensor Integration in Myoelectric Control
论文作者
论文摘要
最近使用肌电图（EMG）和惯性测量单元（IMU）进行上LIMB手势识别的人类计算机相互作用（HCI）的研究声称，仅惯性测量值可导致比EMG更高的分类精度。但是，在假体控制中的生物医学研究中，EMG仍然是提供特定手势信息的黄金标准，超出了IMU的性能。因此，这项研究对这些融合研究领域之间的这些相互矛盾的主张进行了初步研究。在本研究中，使用公开可用的数据集对两个领域的先前主张进行了验证。发现矛盾的主张源于术语和实验设计的差异。具体而言，发现HCI研究可以利用位置变化以增加相似的手势之间的分离。相反，在诸如假肢之类的临床应用中，首选位置不变手势。因此，这项工作表明，未来的研究明确概述了实验方法，以更好地区分手势识别方法。
Recent human computer-interaction (HCI) studies using electromyography (EMG) and inertial measurement units (IMUs) for upper-limb gesture recognition have claimed that inertial measurements alone result in higher classification accuracy than EMG. In biomedical research such as in prosthesis control, however, EMG remains the gold standard for providing gesture specific information, exceeding the performance of IMUs alone. This study, therefore, presents a preliminary investigation of these conflicting claims between these converging research fields. Previous claims from both fields were verified within this study using publicly available datasets. The conflicting claims were found to stem from differences in terminology and experimental design. Specifically, HCI studies were found to exploit positional variation to increase separation between similar hand gestures. Conversely, in clinical applications such as prosthetics, position invariant gestures are preferred.This work therefore suggests that future studies explicitly outline experimental approaches to better differentiate between gesture recognition approaches.
