关键词: 文献计量, 适老化智能服装, 智能可穿戴服装, 老年人护理服装, 可视化分析

Abstract: This study systematically reviews the literature in the WOS and CNKI databases using bibliometric analysis. The research first cleaned the data to remove duplicate and irrelevant entries, ensuring the accuracy of the dataset. Next, CiteSpace and VOSviewer were used to visualize the data, providing insights into the research landscape, including author collaborations, institutional contributions, and keyword co-occurrence networks. A comprehensive analysis of the development and trends in the field of aging-friendly smart wearable clothing was conducted. With a view to providing a clearer line of research in this area, the study supplemented the existing research framework on intelligent wearable application scenarios for the elderly and performed a Pearson correlation test between the keyword co-occurrence dataset and the extended theoretical framework, which showed a significant positive correlation, indicated that this research is focused on the application field of aging-friendly intelligent wearable clothing.
Bibliometric analysis indicates that the research output on aging-friendly smart wearable clothing has significantly increased, especially in recent years. Core author groups and leading institutions have been identified, mainly located in China, the United States, and South Korea. Keyword analysis reveals that major research focuses on health monitoring functions, electromagnetic endurance, and fabric sensing technologies. Additionally, emerging research areas emphasize user interaction design and privacy protection technologies. These findings highlight the diversity and interdisciplinary nature of the field, encompassing materials science, electronics, healthcare, and data security. This study supplements the existing research framework on intelligent wearable application scenarios for the elderly by identifying key technology areas and their applications. For example, health monitoring technologies include advanced sensors and data analysis for real-time health monitoring. Positioning and navigation technologies utilize Bluetooth, WiFi, and RFID for precise indoor positioning. Integrating flexible fiber optic sensors into fabrics enhances comfort and functionality, while low-power electronic components ensure long-term use of the devices. Data security and privacy protection are crucial for safeguarding sensitive health information, requiring robust encryption methods.
The research on aging-friendly smart wearable clothing is driven by the urgent needs of the aging population and has made significant progress. This field demonstrates tremendous innovative potential in improving the quality of life for the elderly through advanced technology. Future research should focus on strengthening interdisciplinary collaboration, leveraging big data and artificial intelligence to enhance user experience, and meeting the specific needs of the elderly. It is necessary to enhance international cooperation to promote the development of aging-friendly smart wearable solutions, so as to ultimately create a more inclusive and supportive society for the elderly.

Key words: bibliometrics, aging-friendly smart clothing, smart wearable clothing, elderly care clothing, visual analysis