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A New Comprehensive Database for Hand Gesture Recognition

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Genetic and Evolutionary Computing (ICGEC 2018)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 834))

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Abstract

At present, limited hand gesture databases are made available for reference and research, and these databases are small in scale with limited variants of gestures. In response to this problem, we have established a large-scale dynamic gesture database called LR-DHG database. The sensors for collecting data include Leap Motion and RealSense. The data formats include video frame, depth images, color images, and hand-joint point coordinates. In this paper, we describe in detail the recording work of this database, and use subjective evaluation methods to conduct preliminary tests on it, resulting in a higher recognition rate. This database provides more valuable reference and research data for human–computer interaction.

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Notes

  1. 1.

    Available upon request. Please contact ieytie@zzu.edu.cn.

  2. 2.

    This study has been conducted with ethic approval obtained from Prof. Lin Qi from Zhengzhou University. Participants are recruited from the CVPR lab and all participants have given their consent to use the dataset and disclose information relevant for research in this study.

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Acknowledgements

This work was supported in part by “the National Natural Science Foundation of China under Grant No. 61331021”.

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Authors and Affiliations

  1. Zhengzhou University, 450000, Zhengzhou, People’s Republic of China

    Lanyue Pi, Kai Liu, Yun Tie & Lin Qi

Authors
  1. Lanyue Pi
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  2. Kai Liu
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  3. Yun Tie
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  4. Lin Qi
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Corresponding author

Correspondence to Lanyue Pi .

Editor information

Editors and Affiliations

  1. Fujian Provincial Key Laboratory of Big Data Mining and Applications, Fujian University of Technology, Fuzhou, Fujian, China

    Jeng-Shyang Pan

  2. Department of Computing, Mathematics, and Physics, Western Norway University of Applied Sciences, Bergen, China

    Jerry Chun-Wei Lin

  3. Changzhou College of Information Technology, Changzhou, Jiangsu, China

    Bixia Sui

  4. College of Smart Living and Management, Tajen University, Pingtung, Taiwan

    Shih-Pang Tseng

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Pi, L., Liu, K., Tie, Y., Qi, L. (2019). A New Comprehensive Database for Hand Gesture Recognition. In: Pan, JS., Lin, JW., Sui, B., Tseng, SP. (eds) Genetic and Evolutionary Computing. ICGEC 2018. Advances in Intelligent Systems and Computing, vol 834. Springer, Singapore. https://doi.org/10.1007/978-981-13-5841-8_27

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