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Development and Design of a Dancing Robot System Based on Phonetic Control and 3D Gesture Interaction

Published: 02 August 2023 Publication History

Abstract

The dancing robot system based on sound control and 3D gesture interaction breaks the conventional remote control mode, the robot can follow the melody and rhythm of the music to make dance movements at any time and make real-time effective feature extraction of the music features. During the direction of the robot, the system realizes the self-following of the dancing robot based on 3D gesture sensing through the PAJ7260U2 sensing module to learn the coordinated control of each degree of freedom of the robot, which significantly improves the flexibility and fun of the dancing robot. The experimental results of this system's robot dance movement prove the system design's correctness and feasibility, which is of great significance for the simulation research of the robot.

References

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Jiaqing Liu, Kotaro Furusawa, Tomoko Tateyama, Yutaro Iwamoto, and Yen-wei Chen, "An Improved Kinect-Based Real-Time Gesture Recognition Using Deep Convolutional Neural Networks for Touchless Visualization of Hepatic Anatomical Mode," Journal of Image and Graphics, Vol. 7, No. 2, pp. 45-49, June 2019.
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Jingzhong Wang, Xiaoqing Xu, and Meng Li, "The Study of Gesture Recognition Based on SVM with LBP and PCA," Journal of Image and Graphics, Vol. 3, No. 1, pp. 16-19, June 2015.
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Trong-Nguyen Nguyen, Huu-Hung Huynh, and Jean Meunier, "Static Hand Gesture Recognition Using Artificial Neural Network," Journal of Image and Graphics, Vol. 1, No. 1, pp. 34-38, March 2013.

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  1. Development and Design of a Dancing Robot System Based on Phonetic Control and 3D Gesture Interaction

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    cover image ACM Other conferences
    ICCAI '23: Proceedings of the 2023 9th International Conference on Computing and Artificial Intelligence
    March 2023
    824 pages
    ISBN:9781450399029
    DOI:10.1145/3594315
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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    Published: 02 August 2023

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