Automated support system designing for people with limited communication

The article describes designing, modeling and testing of automated gesture recognition system, with access and control from wearable mobile devices. It will help people with disabilities to communicate with people who do not understand gesture language. For example, during a painful attack on Board...

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Bibliographic Details
Published in2018 Systems of Signals Generating and Processing in the Field of on Board Communications pp. 1 - 7
Main Authors Goncharenko, Artem A., Voronova, Lilia I., Voronov, Vyacheslav I., Ezhov, Aleksey A., Goryachev, Dmitry V.
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.03.2018
Subjects
Authorization
cloud computing
Gesture recognition
Internet
mobile automated system
neural network
Neural networks
perceptron
portable devices
Servers
Streaming media
Text recognition
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DOI10.1109/SOSG.2018.8350585

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Summary:The article describes designing, modeling and testing of automated gesture recognition system, with access and control from wearable mobile devices. It will help people with disabilities to communicate with people who do not understand gesture language. For example, during a painful attack on Board the aircraft to ask doctor help. The developed system consists of subsystems that perform tasks of authorization, recording, storage and conversion of video, sending data to the server and recognition. The neural network with error back propagation is used for recognition. The topology of the used neural network is the perceptron. This is a prototype system that works under light conditions, and in the future will be refined.
DOI:10.1109/SOSG.2018.8350585