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Augmented reality-based training system for hand rehabilitation

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Abstract

This study designs a training system for hand rehabilitation on the basis of augmented reality technology, which enables patients to simultaneously interact with real and virtual environments. The system framework is introduced, and four rehabilitation programs, namely, trajectory training, shelf training, batting training, and spile training, are presented. As a requirement of hand rehabilitation training, a color marker that is suitable for hand rehabilitation training is adopted. Following the Hamming coding principle, this marker is designed as a 7 × 7 square that is filled up by four designated colors with a binary bit of “0” or “1”. The check code in each row of the color marker is applied to restore the occluded binary bits, solve the occlusion issue of color markers, and complete the tracking registration of the color markers. The effectiveness of the developed system is evaluated via a usability study and questionnaires. The evaluation provides positive results. Therefore, the developed system has potential as an effective rehabilitation system for upper limb impairment.

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Acknowledgments

This work was supported by the National Natural Science Foundation of China (No. 61203316, 61203319, 61502240), the Natural Science Foundation of Jiangsu Province (BK20141002), Jiangsu Government Scholarship for Overseas Studies, and the Jiangsu Students’ Project for Innovation and Entrepreneurship Training Program (No. 201510300090).

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Authors and Affiliations

  1. B-DAT & CICAEET, School of Information and Control, Nanjing University of Information Science & Technology, Nanjing, 210044, China

    Jia Liu, Jianhui Mei, Xiaorui Zhang & Jing Huang

  2. School of Automation Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, 210016, China

    Xiong Lu

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  1. Jia Liu
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  2. Jianhui Mei
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  3. Xiaorui Zhang
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Corresponding author

Correspondence to Jia Liu.

Appendix A

Appendix A

The scoring rules and scoring items in the questionnaire are as follows:

Scoring Rules: Every subject needs to score once he /she completed the test (0–10 points). The full mark is 10 points. The average score and standard deviation for each item are obtained at the end of all tests.

Scoring Items:

I1. Easy to understand

I2. Clear instructions

I3. Enjoyable

I4. AR environment

I5. Interaction

I6. Operability

I7. Motivating

I8. Portable

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Liu, J., Mei, J., Zhang, X. et al. Augmented reality-based training system for hand rehabilitation. Multimed Tools Appl 76, 14847–14867 (2017). https://doi.org/10.1007/s11042-016-4067-x

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  • DOI: https://doi.org/10.1007/s11042-016-4067-x

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