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Proceedings Paper

Wearable Spiral Passive Electromagnetic Sensor (SPES) glove for sign language recognition of alphabet letters and numbers: a preliminary study
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Paper Abstract

Sign language is a method of communication for deaf-mute people with articulated gestures and postures of hands and fingers to represent alphabet letters or complete words. Recognizing gestures is a difficult task, due to intrapersonal and interpersonal variations in performing them. This paper investigates the use of Spiral Passive Electromagnetic Sensor (SPES) as a motion recognition tool. An instrumented glove integrated with wearable multi-SPES sensors was developed to encode data and provide a unique response for each hand gesture. The device can be used for recognition of gestures; motion control and well-defined gesture sets such as sign languages. Each specific gesture was associated to a unique sensor response. The gloves encode data regarding the gesture directly in the frequency spectrum response of the SPES. The absence of chip or complex electronic circuit make the gloves light and comfortable to wear. Results showed encouraging data to use SPES in wearable applications.

Paper Details

Date Published: 4 April 2017
PDF: 8 pages
Proc. SPIE 10166, Industrial and Commercial Applications of Smart Structures Technologies 2017, 1016607 (4 April 2017); doi: 10.1117/12.2260219
Show Author Affiliations
Onorio Iervolino, Univ. of Bath (United Kingdom)
Michele Meo, Univ. of Bath (United Kingdom)


Published in SPIE Proceedings Vol. 10166:
Industrial and Commercial Applications of Smart Structures Technologies 2017
Dan J. Clingman, Editor(s)

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