American Sign Language Alphabet Recognition Using a Neuromorphic Sensor and an Artificial Neural Network

American Sign Language Alphabet Recognition Using a Neuromorphic Sensor and an Artificial Neural Network

This paper reports the design and analysis of an American Sign Language (ASL) alphabet translation system implemented in hardware using a Field-Programmable Gate Array. The system process consists of three stages, the first being the communication with the neuromorphic camera (also called Dynamic Vi...

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Bibliographic Details
Main Authors: Miguel Rivera-Acosta, Susana Ortega-Cisneros, Jorge Rivera, Federico Sandoval-Ibarra
Format: Article
Language:English
Published: MDPI AG 2017-09-01
Series:Sensors
Subjects:
feature extraction
contour detection
hand posture recognition
Online Access:https://www.mdpi.com/1424-8220/17/10/2176

Internet

https://www.mdpi.com/1424-8220/17/10/2176

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