Abstract: This study addresses the limitations of traditional elderly care products in terms of intelligence and user experience by integrating human-computer interaction (HCI) principles into a product design framework for the elderly. This study explores the importance of feature extraction in human-computer interaction systems, emphasizes its key role in enhancing user adaptability and interaction efficiency, and deeply analyzes its impact on brain-computer interface (BCI) technology. At the same time, the study conducts simulation experiments to evaluate the effectiveness of various algorithms in processing two types of motor imagery tasks. Finally, the obtained results provide a comparative evaluation of the algorithms and highlight their respective strengths and limitations.

Daijiao Shi, Chao Jiang and Chenhan Huang, “Enhancing Usability and Cognitive Engagement in Elderly Products Through Brain-Computer Interface Technologies” International Journal of Advanced Computer Science and Applications(IJACSA), 16(4), 2025. http://dx.doi.org/10.14569/IJACSA.2025.0160418

@article{Shi2025,
title = {Enhancing Usability and Cognitive Engagement in Elderly Products Through Brain-Computer Interface Technologies},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2025.0160418},
url = {http://dx.doi.org/10.14569/IJACSA.2025.0160418},
year = {2025},
publisher = {The Science and Information Organization},
volume = {16},
number = {4},
author = {Daijiao Shi and Chao Jiang and Chenhan Huang}
}