Research and sustainable design of wearable sensor for clothing based on body area network

• Main Authors: Ren Xiangfang, Shen Lei, Liu Miaomiao, Zhang Xiying, Chen Han
• Format: Article
• Language: English
• Published: Wiley 2021-09-01
• Series: Cognitive Computation and Systems
• Online Access: https://doi.org/10.1049/ccs2.12014

Abstract 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.