Abstract
Ever since the development of digital devices, the recognition of human gestures has played an important role in many Human-Computer interface applications. Various wearable devices have been developed, and inertial sensors, magnetic sensors, gyro sensors, electromyography, force-sensitive resistors, and other types of sensors have been used to identify gestures. However, there are different drawbacks for each sensor, which affect the detection of gestures. In this paper, we present a new gesture recognition method using a Flexible Epidermal Tactile Sensor based on strain gauges to sense deformation. Such deformations are transduced to electric signals. By measuring the electric signals, the sensor can estimate the degree of deformation, including compression, tension, and twist, caused by movements of the wrist. The proposed sensor array was demonstrated to be capable of analyzing the eight motions of the wrist, and showed robustness, stability, and repeatability throughout a range of experiments aimed at testing the sensor array. We compared the performance of the prototype device with those of previous studies, under the same experimental conditions. The result shows our recognition method significantly outperformed existing methods.
Highlights
Ever since the development of digital devices, the recognition of human gestures has played an important role in many Human-Computer interface (HCI) applications, permitting interaction in a natural and comfortable way [1,2,3,4]
The non-contact methods are primarily based on visual technologies such as camera sensors, Kinect, and Leap Motion controller (LMC), which do not require attaching the sensors to the human body, as reported by various studies [7,8,9,10,11,12,13]
We compared the sensor with a commercial EMG sensor and an force-sensitive resistors (FSRs) sensor, which are commonly used in gesture recognition studies
Summary
Ever since the development of digital devices, the recognition of human gestures has played an important role in many Human-Computer interface (HCI) applications, permitting interaction in a natural and comfortable way [1,2,3,4]. The amplitude range is 0–105 mV and the bandwidth is 0.5–2 kHz, so it is interfered in by the external noise and the acquisition device itself [22,24] Another gesture recognition approach is the use of FSRs. FSRs sensors detect muscle activity by measuring and monitoring changes in resistance generated by movements of the muscles [25,26]. There are still different drawbacks for each sensor, which affect the detection of gestures To overcome these problems and accurately recognize gestures, we developed a novel gesture recognition method using a Flexible Epidermal Tactile Sensor Array (FETSA) based on strain gauges to sense deformations.
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