Wearable Spiral Passive Electromagnetic Sensor (SPES) glove for sign language recognition of alphabet letters and numbers

A preliminary study

Onorio Iervolino, Michele Meo

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

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.

Original languageEnglish
Title of host publicationIndustrial and Commercial Applications of Smart Structures Technologies, 2017
PublisherSPIE
ISBN (Electronic)9781510608177
DOIs
Publication statusPublished - 2017
EventIndustrial and Commercial Applications of Smart Structures Technologies 2017 - Portland, USA United States
Duration: 26 Mar 201727 Mar 2017

Publication series

NameSPIE Proceedings
Volume1016607

Conference

ConferenceIndustrial and Commercial Applications of Smart Structures Technologies 2017
CountryUSA United States
CityPortland
Period26/03/1727/03/17

Fingerprint

gloves
alphabets
Sign Language
Gesture
electromagnetism
Sensor
sensors
Sensors
chips (electronics)
posture
Motion control
Frequency Spectrum
Motion Control
communication
Well-defined
Wear of materials
Chip
Electronics
Networks (circuits)
Communication

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

Cite this

Iervolino, O., & Meo, M. (2017). Wearable Spiral Passive Electromagnetic Sensor (SPES) glove for sign language recognition of alphabet letters and numbers: A preliminary study. In Industrial and Commercial Applications of Smart Structures Technologies, 2017 [1016607] (SPIE Proceedings; Vol. 1016607). SPIE. https://doi.org/10.1117/12.2260219

Wearable Spiral Passive Electromagnetic Sensor (SPES) glove for sign language recognition of alphabet letters and numbers : A preliminary study. / Iervolino, Onorio; Meo, Michele.

Industrial and Commercial Applications of Smart Structures Technologies, 2017. SPIE, 2017. 1016607 (SPIE Proceedings; Vol. 1016607).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Iervolino, O & Meo, M 2017, Wearable Spiral Passive Electromagnetic Sensor (SPES) glove for sign language recognition of alphabet letters and numbers: A preliminary study. in Industrial and Commercial Applications of Smart Structures Technologies, 2017., 1016607, SPIE Proceedings, vol. 1016607, SPIE, Industrial and Commercial Applications of Smart Structures Technologies 2017, Portland, USA United States, 26/03/17. https://doi.org/10.1117/12.2260219
Iervolino O, Meo M. Wearable Spiral Passive Electromagnetic Sensor (SPES) glove for sign language recognition of alphabet letters and numbers: A preliminary study. In Industrial and Commercial Applications of Smart Structures Technologies, 2017. SPIE. 2017. 1016607. (SPIE Proceedings). https://doi.org/10.1117/12.2260219
Iervolino, Onorio ; Meo, Michele. / Wearable Spiral Passive Electromagnetic Sensor (SPES) glove for sign language recognition of alphabet letters and numbers : A preliminary study. Industrial and Commercial Applications of Smart Structures Technologies, 2017. SPIE, 2017. (SPIE Proceedings).
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