Autors: Pleshkova, S. G., Bekyarski, A. B., Zahariev, Z. T. Title: Based on Artificial Intelligence and Deep Learning Hand Gesture Recognition for Interaction with Mobile Robots Keywords: Communication skills, Hand gestureHand-gesture recognition, Home application, Human interactions, Real timeTechnical complexit 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 References Issue
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Цитирания (Citation/s):
1. Zeqi YuWei Qi Yan.Human Action Recognition Using Deep Learning Methods.November 2020 DOI: 10.1109/IVCNZ51579.2020.9290594 Conference: 2020 35th International Conference on Image and Vision Computing New Zealand (IVCNZ) - 2020 - в издания, индексирани в Scopus или Web of Science
Вид: пленарен доклад в международен форум, публикация в издание с импакт фактор, публикация в реферирано издание, индексирана в Scopus