Abstract
We all know how robot technology is advancing and emerging as an integral part of innovation. One such great innovation is the smart robots, not controlled by a remote but by hand gestures using computer vision, deep learning, and face recognition. To implement this, we have collected the photos of authorized persons and the data of different hand gestures with appropriate labels. We have trained a convolutional neural network model for hand gesture recognition and used LBPH face recognizer for face recognition. The person (controller) gets authenticated through face recognition. The detected hand gesture image of the authorized user from the real-time video is passed as test data to our model to predict the gesture the image refers to. The processed gesture acts as a command to the microcontroller that controls the motion of the robot. The potential technique of controlling the robot with hand gestures is explained in detail.
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Divya, K., Sana, S., Bhavana, H., Vasanthi, V., Praveen Kumar, K. (2022). Robotic Vehicle Control by Hand Gestures of Authorized Users. In: Pandian, A.P., Palanisamy, R., Narayanan, M., Senjyu, T. (eds) Proceedings of Third International Conference on Intelligent Computing, Information and Control Systems. Advances in Intelligent Systems and Computing, vol 1415. Springer, Singapore. https://doi.org/10.1007/978-981-16-7330-6_73
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DOI: https://doi.org/10.1007/978-981-16-7330-6_73
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