Study on ergonomic design of artificial intelligence lower limb assist brace for the elderly

Zhen Yu

doi:10.1117/12.2640898

13 October 2022 Study on ergonomic design of artificial intelligence lower limb assist brace for the elderly

Zhen Yu

Proceedings Volume 12287, International Conference on Cloud Computing, Performance Computing, and Deep Learning (CCPCDL 2022); 122871F (2022) https://doi.org/10.1117/12.2640898
Event: International Conference on Cloud Computing, Performance Computing, and Deep Learning (CCPCDL 2022), 2022, Wuhan, China

Abstract

The ergonomic design study of artificial intelligence lower limb-assisted brace for the elderly is a new design standard of lower limb-assisted brace for the elderly with mobility problems. Based on Human Factors Engineering, this study tested and analyzed the advantages and disadvantages of human lower limb motion mechanics, human gait motion law and existing lower limb assisted brace design cases at home and abroad, and concluded that the common external assisted method is less man-machine efficient than the internal assisted method. Therefore, a new brace joint rotation curvature, component parameters and other key information was designed based on the structure of the medial assistance method. Subsequently, Rhino software was used for digital modeling, physical prototyping, experimental testing and analysis of the design solution and continuous optimization of the design. At the same time, the perceptual engineering design method was utilized to meet the humanized aesthetic design requirements. The prototype of the design study was finally completed, which is more in line with the evaluation criteria of "human-machine-environment system" than the existing market design in terms of functional rationality, human-machine performance and human experience. This demonstrates the validity of the design method and is an important reference for the design standard of the lower limb support for the elderly.

Citation Download Citation

Zhen Yu "Study on ergonomic design of artificial intelligence lower limb assist brace for the elderly", Proc. SPIE 12287, International Conference on Cloud Computing, Performance Computing, and Deep Learning (CCPCDL 2022), 122871F (13 October 2022); https://doi.org/10.1117/12.2640898

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KEYWORDS

Gait analysis

Artificial intelligence

Structural design

Analytical research

Computer simulations

Data modeling

Prototyping

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