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Trajectory Control of Mobile Robot Based on Novel Gesture Detection

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Proceedings of MEACM 2020 (MEACM 2020)

Part of the book series: Mechanisms and Machine Science ((Mechan. Machine Science,volume 99))

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Abstract

In order to achieve accurate gesture control, a gesture detection module is designed based on the infrared obstacle avoidance module array, and the robot gesture trajectory control is studied. AT89S52 single chip microcomputer is used as the upper computer to complete the collection and recognition of gesture motion through gesture detection module, which sends the processed moving target vector of the robot to the lower computer MCU STC89C52 through HC-12 wireless module, and then the operation of the mobile robot is controlled by L298N. The experimental results show that the system has high gesture recognition rate, and the mobile robot can run stably under the given trajectory of gesture, which verifies the practicability of the gesture detection module design and the effectiveness of the control system.

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References

  1. Pan, K.: Master-slave control method of dexterous hands based on data glove. J. Syst. Simul. 30(7), 2600–2607 (2018)

    Google Scholar 

  2. Maitre, J., Rendu, C., Bouchard, K., Bouchard, B., Gaboury, S.: Basic daily activity recognition with a data glove. Procedia Comput. Sci. 151, 108–115 (2019)

    Article  Google Scholar 

  3. Wang, C., Liu, Z., Zhu, M., Zhao, J., Chan, S.C.: A hand gesture recognition system based on canonical superpixel-graph. Sig. Process. Image Commun. 58, 87–98 (2017)

    Article  Google Scholar 

  4. Gao, C., Zhang, Y.: Fingertip recognition based on a convex hull algorithm. J. Beijing Univ. Chem. Technol. (Natural Science Edition) 44(2), 70–75 (2017)

    Google Scholar 

  5. Premaratne, P., Yang, S., Vial, P., Ifthikar, Z.: Centroid tracking based dynamic hand gesture recognition using discrete hidden Markov models. Neurocomputing 228, 79–83 (2017)

    Article  Google Scholar 

  6. Zhao, J., Sun, Y.: Design of S3C2440A-based velocity control system for DC motor. Mod. Electron. Tech. 34(3), 157–159 (2011)

    Google Scholar 

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Acknowledgements

This work was financially supported by Jiangxi Provincial Natural Science Foundation (20202BAB202008) and Foundation of Education Department of Jiangxi Province (GJJ170484, GJJ160540).

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Authors and Affiliations

  1. School of Mechanical and Electronic Engineering, East China University of Technology, Nanchang Guanglan Avenue 418, Nanchang, China

    Shubo Liu, Guoquan Liu, Shun’an Cao, Liyu Cheng & Hang Zou

Authors
  1. Shubo Liu
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  2. Guoquan Liu
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  3. Shun’an Cao
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  4. Liyu Cheng
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  5. Hang Zou
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Corresponding author

Correspondence to Shubo Liu .

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Editors and Affiliations

  1. School of Mechanical Engineering, University of Science and Technology Beijing, Beijing, China

    Lifang Zheng

  2. School of Mechanical Engineering, University of Science and Technology Beijing, Beijing, China

    Chaoyang Sun

  3. Newcastle University Singapore, Singapore, Singapore

    Kheng-Lim Goh

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© 2021 The Author(s), under exclusive license to Springer Nature Switzerland AG

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Liu, S., Liu, G., Cao, S., Cheng, L., Zou, H. (2021). Trajectory Control of Mobile Robot Based on Novel Gesture Detection. In: Zheng, L., Sun, C., Goh, KL. (eds) Proceedings of MEACM 2020. MEACM 2020. Mechanisms and Machine Science, vol 99. Springer, Cham. https://doi.org/10.1007/978-3-030-67958-3_7

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  • DOI: https://doi.org/10.1007/978-3-030-67958-3_7

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-67957-6

  • Online ISBN: 978-3-030-67958-3

  • eBook Packages: EngineeringEngineering (R0)

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