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19 May 2020 The challenges of hand gesture recognition using dielectric elastomer sensors
Derek W. Orbaugh Antillon, Christopher Walker, Samuel Rosset, Iain A. Anderson
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Proceedings Volume 11375, Electroactive Polymer Actuators and Devices (EAPAD) XXII; 1137524 (2020) https://doi.org/10.1117/12.2558388
Event: SPIE Smart Structures + Nondestructive Evaluation, 2020, Online Only
Abstract
Hand gesture recognition algorithms require information from the material world to be converted to digital data. In this paper we present an analysis of dielectric elastomer sensors for hand gesture recognition. A glove with five dielectric elastomer sensors has been used to collect motion data from the hand. The capacitance value of each sensor was read and analysed for a total of 24 participants. The study shows that the sensors provide enough information to differentiate gestures from each participant, although the maximum capacitance value varied with each participant, making gesture recognition over all participants difficult. Data processing allowed for this problem to be solved.
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Derek W. Orbaugh Antillon, Christopher Walker, Samuel Rosset, and Iain A. Anderson "The challenges of hand gesture recognition using dielectric elastomer sensors", Proc. SPIE 11375, Electroactive Polymer Actuators and Devices (EAPAD) XXII, 1137524 (19 May 2020); https://doi.org/10.1117/12.2558388
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KEYWORDS
Sensors
Capacitance
Gesture recognition
Dielectrics
Electronics
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