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Title
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Bio-inspired gesture recognition with baffled transducers using temporal and spectral features
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Author
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Abstract
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| Echolocating bats can provide engineers with tremendous inspiration for constructing active ultrasonic sensors for airborne applications. Previous research has demonstrated that the recognition of hand gestures can be facilitated by means of ultrasonic sensing, often relying on classical engineering principles. In this paper we merge the insights from research into biological echolocation systems with gesture recognition, and present a gesture recognition sensor inspired by the echolocation system of bats, using spatiospectral features induced by the geometric shape of baffled microphones. We use the spatiospectral features in combination with a support vector machine classifier as gesture classification mechanism. We show the efficacy of the proposed approach using experimental data gathered from twenty persons performing four different gestures. |
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Language
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English
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Source (journal)
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Proceedings of IEEE Sensors. - Piscataway, NJ, 2002, currens
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Source (book)
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2023 IEEE SENSORS, 29 October - 01 November, 2023, Vienna, Austria
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Publication
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Piscataway, NJ
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IEEE
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2023
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ISSN
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1930-0395
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ISBN
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979-83-503-0387-2
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DOI
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10.1109/SENSORS56945.2023.10324935
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Volume/pages
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p. 1-4
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ISI
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001116741300087
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Full text (Publisher's DOI)
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Full text (open access)
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Full text (publisher's version - intranet only)
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