Development of a real-time hand gesture recognition wristband based on sEMG and IMU sensing
Shuo Jiang, Bo Lv, Xinjun Sheng, Chao Zhang, Haitao Wang, Peter Bradley Shull · 2016
Human computer interaction is becoming more integrated in daily life with the proliferation of mobile devices and virtual reality technology. Hand gesture recognition is a potentially promising mechanism to facilitate human computer interaction, however wrist-mounted surface electromyography (sEMG) hand gesture classification is particularly challenging given the relatively small sEMG signals as compared to traditional forearm-based sEMG sensing. This paper introduces the development of a wristband for detecting eight air gestures and four surface gestures at two different force levels through sEMG and inertial measurement unit (IMU) sensor fusion. To validate the wrist-worn device, ten healthy subjects performed hand gesture recognition experiments resulting in a total average recognition rate of 92.6% for air gestures and 88.8% for surface gestures. This paper demonstrates the potential of wrist-worn devices for accurate hand gesture recognition applications.