Research on biomechanics-based design of home-based intelligent elderly care robot

  • Yaqi Gao School of Nursing, Hebi Polytechnic, Hebi 458030, China
  • Xiaopeng Pei School of Education and Arts, Hebi Polytechnic, Hebi 458030, China
  • Minghui Cheng School of Data Science, Hebi Polytechnic, Hebi 458030, China
Keywords: biomechanics; nursing robot; intelligent aging; control system
Article ID: 907

Abstract

Based on the theoretical knowledge of biomechanics, this paper parameterizes the biological structure of the human body and constructs a human biomechanical model in three dimensions: horizontal dimension, vertical dimension, and torsion dimension, and analyzes in detail the relationship between the stresses in the process of intelligent assistance for nursing robots. Based on the human biomechanical model, the overall design scheme of the home-based intelligent elderly care robot is determined, and corresponding software and hardware are used to realize the design of the home-based intelligent elderly care robot. Select experimental tools and test environments to verify and analyze the biomechanics-based elderly care robot. The error between the theoretical value (software simulation results) and the actual value (equipment test results) of the force of the intelligent assistive process of the nursing robot is kept below 5%. The correct rate of urinary and fecal flushing detection of the home smart elderly care robot is more than 0.95, and the response speed of the control system is controlled within 5 s, while the Central Processing Unit (CPU) occupancy rate is not more than 30.00%, which indicates that the home smart elderly care robot can be effectively used in the elderly care work. The combination of biometrics and information technology is a prominent contribution of this article.

References

1. Sapci, A. H., & Sapci, H. A. (2019). Innovative assisted living tools, remote monitoring technologies, artificial intelligence-driven solutions, and robotic systems for aging societies: systematic review. JMIR aging, 2(2), e15429.

2. Vercelli, A., Rainero, I., Ciferri, L., Boido, M., & Pirri, F. (2018). Robots in elderly care. DigitCult-Scientific Journal on Digital Cultures, 2(2), 37-50.

3. Tanabe, S., Saitoh, E., Koyama, S., Kiyono, K., Tatemoto, T., Kumazawa, N., ... & Kanada, Y. (2019). Designing a robotic smart home for everyone, especially the elderly and people with disabilities. Fujita medical journal, 5(2), 31-35.

4. Lim, M. J., Song, W. K., Kweon, H., & Ro, E. R. (2023). Care robot research and development plan for disability and aged care in Korea: A mixed-methods user participation study. Assistive Technology, 35(4), 292-301.

5. Abou Allaban, A., Wang, M., & Padır, T. (2020). A systematic review of robotics research in support of in-home care for older adults. Information, 11(2), 75.

6. Tröbinger, M., Jähne, C., Qu, Z., Elsner, J., Reindl, A., Getz, S., ... & Haddadin, S. (2021). Introducing garmi-a service robotics platform to support the elderly at home: Design philosophy, system overview and first results. IEEE Robotics and Automation Letters, 6(3), 5857-5864.

7. Tokunaga, S., Tamamizu, K., Saiki, S., Nakamura, M., & Yasuda, K. (2017). VirtualCareGiver: Personalized smart elderly care. International Journal of Software Innovation (IJSI), 5(1), 30-43.

8. Ma, C., Guerra-Santin, O., & Mohammadi, M. (2022). Smart home modification design strategies for ageing in place: a systematic review. Journal of Housing and the Built Environment, 37(2), 625-651.

9. Majumder, S., Aghayi, E., Noferesti, M., Memarzadeh-Tehran, H., Mondal, T., Pang, Z., & Deen, M. J. (2017). Smart homes for elderly healthcare—Recent advances and research challenges. Sensors, 17(11), 2496.

10. Curumsing, M. K., Fernando, N., Abdelrazek, M., Vasa, R., Mouzakis, K., & Grundy, J. (2019). Emotion-oriented requirements engineering: A case study in developing a smart home system for the elderly. Journal of systems and software, 147, 215-229.

11. Johnson, M. J., Johnson, M. A., Sefcik, J. S., Cacchione, P. Z., Mucchiani, C., Lau, T., & Yim, M. (2020). Task and design requirements for an affordable mobile service robot for elder care in an all-inclusive care for elders assisted-living setting. International journal of social robotics, 12, 989-1008.

12. Yang, G., Pang, Z., Deen, M. J., Dong, M., Zhang, Y. T., Lovell, N., & Rahmani, A. M. (2020). Homecare robotic systems for healthcare 4.0: Visions and enabling technologies. IEEE journal of biomedical and health informatics, 24(9), 2535-2549.

13. Shishehgar, M., Kerr, D., & Blake, J. (2018). A systematic review of research into how robotic technology can help older people. Smart Health, 7, 1-18.

14. Lee, S., & Naguib, A. M. (2020). Toward a sociable and dependable elderly care robot: design, implementation and user study. Journal of Intelligent & Robotic Systems, 98(1), 5-17.

15. Nathan, V., Paul, S., Prioleau, T., Niu, L., Mortazavi, B. J., Cambone, S. A., ... & Jafari, R. (2018). A survey on smart homes for aging in place: Toward solutions to the specific needs of the elderly. IEEE Signal Processing Magazine, 35(5), 111-119.

16. Do, H. M., Pham, M., Sheng, W., Yang, D., & Liu, M. (2018). RiSH: A robot-integrated smart home for elderly care. Robotics and Autonomous Systems, 101, 74-92.

17. Bardaro, G., Antonini, A., & Motta, E. (2022). Robots for elderly care in the home: A landscape analysis and co-design toolkit. International Journal of Social Robotics, 14(3), 657-681.

18. Kok, C. L., Ho, C. K., Teo, T. H., Kato, K., & Koh, Y. Y. (2024). A Novel Implementation of a Social Robot for Sustainable Human Engagement in Homecare Services for Ageing Populations. Sensors, 24(14), 4466.

19. Barber, R., Ortiz, F. J., Garrido, S., Calatrava-Nicolás, F. M., Mora, A., Prados, A., ... & Mozos, Ó. M. (2022). A multirobot system in an assisted home environment to support the elderly in their daily lives. Sensors, 22(20), 7983.

20. Kim, J. W., Choi, Y. L., Jeong, S. H., & Han, J. (2022). A care robot with ethical sensing system for older adults at home. Sensors, 22(19), 7515.

21. Hendrich, N., Bistry, H., & Zhang, J. (2015). Architecture and software design for a service robot in an elderly-care scenario. Engineering, 1(1), 027-035.

22. Di Napoli, C., Ercolano, G., & Rossi, S. (2023). Personalized home-care support for the elderly: a field experience with a social robot at home. User Modeling and User-Adapted Interaction, 33(2), 405-440.

23. Yang, C. Y., Lu, M. J., Tseng, S. H., & Fu, L. C. (2017, September). A companion robot for daily care of elders based on homeostasis. In 2017 56th Annual Conference of the Society of Instrument and Control Engineers of Japan (SICE) (pp. 1401-1406). IEEE.

24. Paulina Działak,Jacek Karliński & Paweł Maślak. (2024). Development of a Biomechanical Human Model for Safety Analysis of the Operators of Self-Propelled Mining Machines. Acta Mechanica et Automatica(2),333-340.

25. Vijayan Kiran,Bhardawaj Sono,Sharma Rakesh Chandmal, Sharma Sunil Kumar,Gopala Rao LVV & Vashist Amit. (2023). Modeling of biomechanical human body model for seat to head transmissibility analysis.Noise & Vibration Worldwide(2-3),62-74.

26. Zhang Chenyu & Marlene Rodrigues. (2021). Application of Kawakita Jiro/Analytic Hierarchy Process/Quality Function Development Integrated Ankle Rehabilitation Nursing Robot in Orthopaedics. Journal of Medical Imaging and Health Informatics(9),2315-2323.

27. Jiaxin Wang,Huanyu Deng,Yulong Wang,Jiexin Xie,Hui Zhang,Yang Li & Shijie Guo. (2024). Multi-sensor fusion federated learning method of human posture recognition for dual-arm nursing robots. Information Fusion102320-.

Published
2025-02-18
How to Cite
Gao, Y., Pei, X., & Cheng, M. (2025). Research on biomechanics-based design of home-based intelligent elderly care robot. Molecular & Cellular Biomechanics, 22(3), 907. https://doi.org/10.62617/mcb907
Section
Article