Advanced gesture recognition system using long-term recurrent convolution network. (2020)

• Record Type: Journal Article
• Authors: Bhuvaneshwari, C.; Manjunathan, A.
• Is Part Of: Materials today. Volume 21:Part 1(2020)
• Page Start: 731
• Page End: 733
• Publication Date: 2020
• Subjects: Raspberry pi -- LRCN -- Sensor -- Gesture -- Deaf-dumb; Materials science -- Congresses -- Periodicals; 620.1
• DOI: 10.1016/j.matpr.2019.06.748
• Languages: English
• ISSNs: 2214-7853

Abstract

Abstract: The reliable communication between deaf-dumb and normal people is difficult, because deaf and dumb people use sign language for their communication which is unknown to the normal person. In this research work, to provides solution for problem faced by deaf and dumb people. It deals with an idea of gesture image recognition. In this the concept of embedded system and image processing is combined together which is very effective. This device convert gesture image to voice. The conversion is done using Raspberry pi. Gesture image recognition is processed by implementing LRCN (Long-term Recurrent Convolution Network) algorithm.