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.
Onorio Iervolino and Michele Meo, "Wearable Spiral Passive Electromagnetic Sensor (SPES) glove for sign language recognition of alphabet letters and numbers: a preliminary study," Proc. SPIE 10166, Industrial and Commercial Applications of Smart Structures Technologies 2017, 1016607 (Presented at SPIE Smart Structures and Materials + Nondestructive Evaluation and Health Monitoring: March 26, 2017; Published: 4 April 2017); https://doi.org/10.1117/12.2260219.
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