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Open AccessArticle

Gyroscope-Based Continuous Human Hand Gesture Recognition for Multi-Modal Wearable Input Device for Human Machine Interaction

Department of Automotive Engineering, Hanyang University, Seoul 04763, Korea
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Author to whom correspondence should be addressed.
Sensors 2019, 19(11), 2562; https://doi.org/10.3390/s19112562
Received: 2 May 2019 / Revised: 22 May 2019 / Accepted: 3 June 2019 / Published: 5 June 2019
(This article belongs to the Special Issue Multi-Modal Sensors for Human Behavior Monitoring)
Human hand gestures are a widely accepted form of real-time input for devices providing a human-machine interface. However, hand gestures have limitations in terms of effectively conveying the complexity and diversity of human intentions. This study attempted to address these limitations by proposing a multi-modal input device, based on the observation that each application program requires different user intentions (and demanding functions) and the machine already acknowledges the running application. When the running application changes, the same gesture now offers a new function required in the new application, and thus, we can greatly reduce the number and complexity of required hand gestures. As a simple wearable sensor, we employ one miniature wireless three-axis gyroscope, the data of which are processed by correlation analysis with normalized covariance for continuous gesture recognition. Recognition accuracy is improved by considering both gesture patterns and signal strength and by incorporating a learning mode. In our system, six unit hand gestures successfully provide most functions offered by multiple input devices. The characteristics of our approach are automatically adjusted by acknowledging the application programs or learning user preferences. In three application programs, the approach shows good accuracy (90–96%), which is very promising in terms of designing a unified solution. Furthermore, the accuracy reaches 100% as the users become more familiar with the system. View Full-Text
Keywords: hand gesture; continuous gesture recognition; gyroscope; multi-modal input devices; unified wearable input devices hand gesture; continuous gesture recognition; gyroscope; multi-modal input devices; unified wearable input devices
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Han, H.; Yoon, S.W. Gyroscope-Based Continuous Human Hand Gesture Recognition for Multi-Modal Wearable Input Device for Human Machine Interaction. Sensors 2019, 19, 2562.

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