과제정보
본 연구는 정부(과학기술정보통신부, 산업통상자원부, 보건복지부, 식품의약품안전처)의 재원으로 범부처 전주기의료기기연구개발사업단의 지원을 받아 수행된 연구임(과제고유번호 : RS-2023-KD00238176).
참고문헌
- Ministry of Health and Welfare. 2023. Registration status of persons with disabilities, http://www.mohw.go.kr/.
- J. S. Woo, K. Lionel, S. J. Jung. and W. Y. Chung,"Configuration and Application of a deep learning-based fall detection system," Journal of the Korea Institute of Convergence Signal Processing, vol. 24, no.4, pp. 213-220, 2023, doi:10.23087/jkicsp.2023.24.4.006.
- Smit. G, Plettenburg, D. H, "Efficiency of voluntary closing hand and hook prostheses,"Prosthetics and Orthotics International, vol. 34, no. 4, pp. 411-427, 2010, doi:10.3109/03093646.2010.486390.
- S. G. Kim, B. K. Hong, et al.,"Development of a hand prosthesis with a heating system to prevent residual limb pain for upper limb amputee,"Journal of Rehabilitation Welfare Engineering & Assistive Technolog, vol. 17, no. 4, pp. 339-349, 2023. doi:10.21288/resko.2023.17.4.339.
- S. H. Park, B. K. Hong, J. K. Kim, E. P. Hong, and M. S. Mun, "Development of the myoelectric hand with a 2 DOF auto wrist module," Journal of Institute of Control, Robotics and Systems (in Korean), vol. 17, no. 8, pp. 824- 832, 2011, doi:10.5302/J.ICROS.2011.17.8.824.
- S. Y. Jung, S. G. Kim, D. J. Jang, S. K. Kim, S. H. Park, and J. H. Kim, "Development of the Multi-DOF myoelectric hand prosthesis with the intuitive control algorithm,"Journal of the Korean Society for Precision Engineering, vol. 37, no. 2, pp. 139-147, 2020, doi:10.7736/JKSPE.019.083.
- Ottobock, Be-Bionic Technical manual, UK, 2017.
- I-limb, https://www.ossur.com/en-us/prosthetics.
- TASKA, https://www.taskaprosthetics.com/.
- J. Li, et al., "Hand gesture recognition based improved multi-channels CNN architecture using EMG sensors," Journal of Intelligent & Fuzzy Systems, vol. 43, pp. 643-656, 2022, doi:10.3233/JIFS-212390.
- Y. U. Jo, et al., "Wavelet Transform as Pre-processing for EMG-based Hand Gesture Recognition Suitable for Actual User-environment," Journal of The Institute of Electronics and Information Engineers, vol. 61, no. 4, pp. 63-70, 2024, doi:10.5573/ieie.2024.61.4.63.
- J. M. Kim, et al., "sEMG-Based Hand Posture Recognition and Visual Feedback Training for the Forearm Amputee," MDPI, vol. 22, no. 20, 2022, doi:10.3390/s22207984.
- A. Toro-Ossaba, et al., "LSTM Recurrent Neural Network for Hand Gesture Recognition Using EMG Signals," MDPI, vol. 12, no. 19, 2022, doi:10.3390/app12199700.
- T. Triwiyanto, et al., "Deep Convolution Neural Network to Improve Hand Motion Classifcation Performance Against Varying Orientation Using Electromyography Signal," International Journal of Precision Engineering and Manufacturing, vol. 25, pp. 1289-1301, 2024, doi:10.3390/app12199700.
- Z. Brian, R. Dora, S. Robert,"Flexor Pulley System: Anatomy, Injury, and Management," In Journal of Hand Surgery, vol. 39, no. 12, pp. 2525-2532, 2014, doi:10.1016/j.jhsa.2014.06.005.
- Maxon, DCX10, https://www.maxongroup.com.
- TEXAS INSTRUMENTS, DRV5056 Unipolar Hall Effect Sensor datasheet, 2020.
- CHIPSEN, User Manual BOT-CLE310, 2019.
- F. Stival, S. Michieletto, M. Cognolato, E. Pagello, H. Muller, and M. Atzori, "A quantitative taxonomy of human hand grasps," Journal of NeuroEngineering and Rehabilitation, vol. 16, no. 1, pp. 1-17, 2019, doi:10.1186/s12984-019-0488-x.
- N. Ladha, G. Gaidhani, "Assessment of Hand Function in Post Stroke Patients Using 'Jebsen Taylor Hand Function Test',"Indian Journal of Physiotherapy and Occupational Therapy vol. 15, no. 4, pp. 97-101, 2021, doi:10.37506/ijpot.v15i4.16506.
- S. M. Cho, W. S. Kim, N. J. Paik, H. W. Bang, "Upper-Limb Function Assessment Using VBBTs for Stroke Patients,"IEEE Computer Graphics and Applications, vol. 36, no. 1, pp. 70-78, 2016, doi:10.1109/MCG.2015.2.