Abstract
At present, technologies such as smart home and intelligent wearable devices are develo**, bringing convenience and enjoyment to our daily lives, while also avoiding a series of potential hidden dangers. This study aims to design an intelligent mobile robot control system based on gesture recognition which allows people to control the forward, backward and steering of the mobile robot through simple gestures. For gesture recognition, this paper uses the MPU6050 accelerometer to detect and recognize human gestures. The system adopts the control chip STM32 MCU to collect the acceleration data. The results of the experiments have shown that the proposed gesture recognition device can control the mobile robot maneuvering well and complete the function of forward and backward and steering.
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Acknowledgements
This work was supported by the National Natural Science Foundation of China (Grant No. 61972207), Jiangsu Provincial Government Scholarship for Studying Abroad and the Priority Academic Program Development of Jiangsu Higher Education Institutions (PAPD).
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Dai, D., Zhuang, W., Shen, Y., Li, L., Wang, H. (2020). Design of Intelligent Mobile Robot Control System Based on Gesture Recognition. In: Sun, X., Wang, J., Bertino, E. (eds) Artificial Intelligence and Security. ICAIS 2020. Communications in Computer and Information Science, vol 1253. Springer, Singapore. https://doi.org/10.1007/978-981-15-8086-4_10
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DOI: https://doi.org/10.1007/978-981-15-8086-4_10
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