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Based on Artificial Intelligence and Deep Learning Hand Gesture Recognition for Interaction with Mobile Robots

Snezhana Georgieva Pleshkova, Aleksander Bogdanov Bekyarski, Zahari Zahariev

Year
2019
Citations
6

Abstract

The proliferation of mobile robots in a wide range of professional and home applications is a real stimulus of researches for more convenient natural ways and communication skills of mobile robots to interact with human. Voice communicating with mobile robots is always preferable but in many cases is inappropriate due to technical complexity, not enough accuracy and inability of real time of voice recognition. That is why voice communications with mobile robots are often replaced or combined with human interaction by hand gestures. Therefore, this is the goal of this article, with proposition of realization based on artificial intelligence and deep learning.

Keywords

Computer scienceArtificial intelligenceGestureRobotMobile robotGesture recognitionHuman–computer interactionComputer vision

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