REFERENCES

1. Number of visually impaired people to "triple by 2050" worldwide. Available online: https://www.bbc.com/japanese/40810904 [Last accessed on 8 Sep 2023].

2. Dionisi A, Sardini E, Serpelloni M. Wearable object detection system for the blind. 2012 IEEE International Instrumentation and Measurement Technology Conference Proceedings, Graz, Austria; 2012, pp. 1255-8.

3. Wagner CR, Lederman SJ, Howe RD. A tactile shape display using RC servomotors. Proceedings 10th Symposium on Haptic Interfaces for Virtual Environment and Teleoperator Systems. HAPTICS 2002, Orlando, FL, USA; 2002, pp. 354-5.

4. Mukhiddinov M, Cho J. Smart glass system using deep learning for the blind and visually impaired. Electronics 2021;10:2756.

5. Shen J, Chen Y, Sawada H. A Wearable assistive device for blind pedestrians using real-time object detection and tactile presentation. Sensors 2022;22:4537.

6. Ashveena A, Bala Deepika J, Mary SP, Nandini DU. Portable camera based identification system for visually impaired people. 2023 7th International Conference on Trends in Electronics and Informatics (ICOEI). Tirunelveli, India; 2023, pp. 1444-50.

7. Redmon J, Divvala S, Girshick R, Farhadi A. You only look once: unified, real-time object detection. 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR); 2016, pp. 779-88.

8. Liu Z, Li J, Shen Z, Huang G, Yan S, Zhang C. Learning efficient convolutional networks through network slimming. In Proceedings of the 2017 IEEE International Conference on Computer Vision (ICCV); 2017, pp. 2755-63.

9. Intel neural compute stick 2 (in Japanese). Available online: https://www.intel.co.jp/content/www/jp/ja/products/sku/140109/intel-neural-compute-stick-2/specifications.html [Last accessed on 5 Sep 2023].

10. Kolkur S, Kalbande D, Shimpi P, Bapat C, Jatakia J. Human skin detection using RGB, HSV and YCbCr color models. Proceedings of the International Conference on Communication and Signal Processing 2016 (ICCASP 2016); 2016, pp. 324-32.

11. Zou L, Li Y. A method of stereo vision matching based on OpenCV. 2010 International Conference on Audio, Language and Image Processing; 2010, pp. 185-90.

12. Extract skin color regions using HSV color space in Python, OpenCV (in Japanese). Available online: https://www.udemy.com/course/computervision_mediapipe/ [Last accessed on 8 Sep 2023].

13. Jiang C, Uchida K, Sawada H. Research and development of vision based tactile display system using shape memory alloys (in Japanese). IJICIC 2014;10:837-50. Available online: https://waseda.elsevierpure.com/ja/publications/research-and-development-of-vision-based-tactile-display-system-u [Last accessed on 8 Sep 2023].

14. Sawada H, Boonjaipetch P. Tactile pad for the presentation of tactile sensation from moving pictures. In Proceedings of the 2014 7th International Conference on Human System Interactions (HSI). Costa da Caparica, Portugal; 2014, pp. 135-40.

15. Zhao F, Fukuyama K, Sawada H. Compact Braille display using SMA wire array. RO-MAN 2009- The 18th IEEE International Symposium on Robot and Human Interactive Communication; 2009, pp. 28-33.

Intelligence & Robotics
ISSN 2770-3541 (Online)
Follow Us

Portico

All published articles are preserved here permanently:

https://www.portico.org/publishers/oae/

Portico

All published articles are preserved here permanently:

https://www.portico.org/publishers/oae/