With the COVID-19 pandemic sweeping the world, there is an increased focus on intergenerational relationships, community mental health issues, and well-being in community contexts. This paper assesses the effectiveness of a co-creation approach for intergenerational integration at the theoretical level. The study used a collaborative co-creation design method in the community design process to explore whether the participation of community residents of all ages in addressing community issues promoted communication and alleviated stereotyping between the various generations. This study was conducted in Shanghai’s Hongqiao New Village square, where we conducted participatory research and co-creation workshops in response to the demand for the use of the public space as a location for social interactions. The results showed that intervention in community creation through collaborative design is conducive to promoting friendly relations among different age groups, forming a sense of social security and thus enhancing social well-being. Finally, this paper combines practical cases and theoretical models of collaborative co-creative design approaches to promote the intergenerational integration of communities and is summarized from the input and output parts as well as the influencing factors and constraints of the collaborative co-creative. In addition, it provides new ideas on how to improve intergenerational relationships and form a positive and sustainable community mental health environment in the future.

The body area network (BAN) is composed of every wearable device network on the body to share information and data, which is applied in medical and health, especially in the direction of intelligent clothing. A wearable device is an integrated body of multi‐sensor fusion. At the same time, the multi‐dimensional needs of users and the unique problems of sensors appear. How to solve the problems of wearable sensors and sustainable design is the research focus. Based on the wearable sensor in the critical factor of wearable device fusion, this paper analyses the classification, technology, and current situation of a wearable sensor, discusses the problems of a wearable sensor for BAN from the aspects of human–computer interaction experience, data accuracy, multiple interaction modes, and battery power supply, and summarizes the direction of multi‐sensor fusion, compatible biosensor materials, and low power consumption and high sensitivity. The sustainable design direction of visibility design, identification of use scenarios, short‐term human–computer interaction, interaction process reduction, and integration invisibility are introduced. The integration research of wearable sensors is the future trend, and it has been widely used in medical and health, intelligent clothing, wireless communication, military, automobile, and other fields.

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Intelligent fibre is a kind of fibre that integrates sensing and information processing. It is similar to biological materialsand has intelligent functions such as self-perception, self-adaptation, self-diagnosis, and self-repair. Intelligent textilesrefer to textiles that have sensing and responding functions to the environment. Intelligent fibres and their textiles notonly have the ability to perceive and respond to external stimuli but also have the ability to adapt to the externalenvironment. In recent years, the research on intelligent fibres has achieved many results in the world, and it is widelyused in textiles and clothing industry. Therefore, this paper summarized the research status of intelligent fibre andintelligent textile worldwide, and put forward the research direction in the future. This paper introduced the propertiesand research status of five kinds of main intelligent fibres, including phase change fibre, shape memory fibre, smarthydrogel fibre, optical fibre and electronic intelligent fibre, and summarized their application in textiles. This paper alsointroduced the research status of five important intelligent textiles, including intelligent temperature control textile, shapememory textiles, waterproof and moisture permeable textile, intelligent antibacterial textile and electronic intelligenttextile. Moreover, it forecasted the development prospects of intelligent fibres and textiles, and pointed out developmentdirection in three aspects of performance optimization, green and safety, industrialization. It provided research referenceand guidance for future intelligent fibre and intelligent textile.

With the popularity of the concept of big health and the important role of wearable devices in medical health, users pay more attention to the collection and acquisition of physiological data, but wearable devices attached to human users are independent, and the degree of data sharing is low. Improving the data sharing, accuracy, and reliability of wearable device monitoring is a problem that the article needs to study and solve. Specifically, the researcher summarizes the characteristics of the physiological monitoring smart clothing, and the basic physiological data parameters of human body, and analyzes the collection of three basic signals of electrocardiogram, body temperature, and human movement. This article summarizes the requirements and key technologies of body area network transmission of smart clothing, and studies the body area network node design, energy consumption optimization mode, and network architecture of physiological monitoring smart clothing. At the same time, based on the previous research, the multi-interaction process of smart clothing is formed, and then the standard evaluation system of smart clothing body domain network for evaluation is proposed. The results show that the optimized structure of the body area network of smart clothing proposed by the researchers is efficient, convenient, and mobile, and meets the characteristics of safety, reliability, low power consumption, and portability of smart clothing, especially in the field of physiological monitoring. The standard evaluation system of smart clothing body area network provides a practice-oriented theoretical reference for the current research of smart clothing body area network.