Research on innovative design of intelligent wearable products based on human machine engineering and bionics
Abstract
Designing intelligent wearable products entails integrating human factors, engineering, and bionics to develop ergonomic, efficient and convenient products. Human-machine engineering is a discipline that addresses the integration between the user wearing a particular system and improving the relationship between the user and the system. At the same time, bionics is an approach that aims to mimic biological systems and structures to enhance the performance of a particular product. This research explores the possibility of integrating these specializations to design new and enhanced wearable technology products with improved usability, convenience, and flexibility for practical usage. A detailed analysis of human biomechanics and ergonomic requirements established design parameters to ensure that wearable devices could be seamlessly integrated into daily life without hindering user movement. Bionic principles, such as the flexibility of animal joints and the energy-efficient movements of natural organisms, were applied to optimize the mechanical and structural aspects of the devices. This approach enabled the creation of products that mimic the natural dynamics of the human body, offering improved responsiveness and functionality. Prototypes were developed based on human-centred design principles and evaluated using simulation and testing environments. Wearables such as exoskeletons, bright clothing, and health-monitoring devices were examined for their ability to adapt to various physical conditions and environmental changes. Results demonstrate a significant increase in user comfort, reduction in mechanical strain, and enhanced performance, validating the effectiveness of integrating human-machine engineering and bionics in wearable design.
References
1. Yin, R., Wang, D., Zhao, S., Lou, Z., & Shen, G. Wearable sensors‐enabled human-machine interaction systems: from design to application: advanced Functional Materials. 2021; 31(11), 2008936.
2. Xue, J., Zou, Y., Deng, Y., & Li, Z. Bioinspired sensor system for health care and human‐machine interaction. EcoMat. 2022; 4(5), e12209.
3. Li, T., Su, Y., Chen, F., Zheng, H., Meng, W., Liu, Z., & Zhou, Z. Bioinspired stretchable fibre-based sensor toward intelligent human-machine interactions. ACS Applied Materials & Interfaces. 2022; 14(19), 22666-22677.
4. Yun, W., Lingyan, Z., Xinyi, C., Jihong, Z., & Yizi, C. Integrated innovation of intelligent materials and product design from the perspective of design intelligence. Industria Textila. 2023; 74(5), 602-609.
5. Liao, X., Wang, W., Wang, L., Jin, H., Shu, L., Xu, X., & Zheng, Y. A highly stretchable and deformation-insensitive bionic electronic exteroceptive neural sensor for human-machine interfaces. Nano Energy. 2021; 80, 105548.
6. Sapkal, S., Jadhav, S., Mallikarjun, P., Shamim, R., Islam, A. U., & Bamane, K. (2024, June). Innovative Healthcare Advancements: Harnessing Artificial and Human Intelligence for Bionic Solutions. In 2024 OPJU International Technology Conference (OTCON) on Smart Computing for Innovation and Advancement in Industry 4.0 (pp. 1-5). IEEE.
7. Gong, Y., Zhang, Y. Z., Fang, S., Sun, Y., Niu, J., & Lai, W. Y. Wireless human-machine interface based on artificial bionic skin with damage reconfiguration and multi-sensing capabilities. ACS Applied Materials & Interfaces. 2022; 14(41), 47300-47309.
8. Pan, D., Hu, J., Wang, B., Xia, X., Cheng, Y., Wang, C. H., & Lu, Y. Biomimetic Wearable Sensors: Emerging Combination of Intelligence and Electronics. Advanced Science. 2024; 11(5), 2303264.
9. Hu, Z., Wang, J., Wang, Y., Wang, C., Wang, Y., Zhang, Z., ... & Xu, M. A Robust and Wearable Triboelectric Tactile Patch as an Intelligent Human-Machine Interface. Materials. 2021; 14(21), 6366.
10. Li, B., Xu, G., Teng, Z., Luo, D., Pei, J., Chen, R., & Zhang, S. Intelligent ankle-foot prosthesis based on human structure and motion bionics. Journal of NeuroEngineering and Rehabilitation. 2024; 21(1), 119.
11. Zhang, B., Jiang, Y., Chen, B., Li, H., & Mao, Y. Recent Progress of Bioinspired Triboelectric Nanogenerators for Electronic Skins and Human–Machine Interaction. Nanoenergy Advances. 2024; 4(1), 45-69.
12. Liu, R. Research On the Development of Bionic Robots Through Human-Machine Interaction. Highlights in Science, Engineering and Technology. 2024; 111, 217-225.
13. Manero, A., Rivera, V., Fu, Q., Schwartzman, J. D., Prock-Gibbs, H., Shah, N., ... & Coathup, M. J. Emerging Medical Technologies and Their Use in Bionic Repair and Human Augmentation. Bioengineering. 2024; 11(7), 695.
14. Yang, J., Liu, Y., & Morgan, P. L. Human-machine interaction towards Industry 5.0: Human-centric smart manufacturing. Digital Engineering. 2024; 100013.
15. Chen, S. Innovations in Flexible Electronic Skin: Material, Structural and Applications. Highlights in Science, Engineering and Technology. 2023; 63, 277-284.
16. Pu, X., An, S., Tang, Q., Guo, H., & Hu, C. Wearable triboelectric sensors for biomedical monitoring and human-machine interface. Iscience. 2021; 24(1).
17. Heng, W., Solomon, S., & Gao, W. Flexible electronics and devices as human-machine interfaces for medical robotics. Advanced Materials. 2022; 34(16), 2107902.
18. Liu, X., Wei, Y., & Qiu, Y. Advanced flexible skin-like pressure and strain sensors for human health monitoring. Micromachines. 2021; 12(6), 695.
19. Said, S. M. Machine learning based wearable multi-channel electromyography: application to bionics and biometrics (Doctoral dissertation. 2020; Université Paris-Est).
20. Minaoglou, P., Efkolidis, N., Manavis, A., & Kyratsis, P. A review on wearable product design and applications. Machines. 2024; 12(1), 62.
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