Intelligent interaction system based on multimodal conformal triboelectric nanogenerator patch for disabled sports and life
作者机构：Physical Education Department Northeastern University(Shenyang) Faculty of Robot Science and Engineering Northeastern University Criminal Investigation Police University of China State Key Laboratory of Robotics Shenyang Institute of Automation Chinese Academy of Sciences China Ice Sports College Beijing Sport University
出 版 物：《Science China Technological Sciences》 (中国科学:技术科学(英文版))
年 卷 期：2025年
核心收录：
学科分类：12[管理学] 080801[工学-电机与电器] 1201[管理学-管理科学与工程(可授管理学、工学学位)] 0808[工学-电气工程] 081104[工学-模式识别与智能系统] 08[工学] 0835[工学-软件工程] 0811[工学-控制科学与工程] 0812[工学-计算机科学与技术（可授工学、理学学位）]
基 金：supported by the National Natural Science Foundation of China (Grant Nos. 62373086 and 62373087) the National Key Research and Development Program of China (Grant No. 2022YFB4700102) the National Science Foundation for Young Scientists of China (Grant No. 62303446) China Postdoctoral Science Foundation (Grant No. 2022M723313) the Youth Innovation Promotion Association CAS (Grant No. 2022199)
摘 要：Intelligent interaction technology based on advanced sensing units has become a research hotspot. In this paper, an intelligent interaction system (IIS) based on a multimodal conformal triboelectric nanogenerator patch (MCTP) is reported for sports monitoring and life promotion of the disabled. This IIS consists of a cloud-based smart sports recognition program and a smart life application. The porous micro-reinforced structure of polyurethane (PU) Sponge&Ecoflex, and the surface modification of PTFE by coating it with MXene endows the MCTP with excellent electrical properties. It shows good angle and force sensitivities of 1.1 V/°and 1.61 V/N, respectively, and has an ultra-fast response time of 15 ms, meeting the needs of human motion monitoring. The MCTP can also capture the mechanical energy, producing a maximum output power of 139μ*** with the commercial inertial measuring unit (IMU), the MCTP shows better consistency in human joint angle sensing. A precise analysis of wheelchair curling sports monitoring points is achieved by combining the MCTP and the human anatomy model. The cloud-based smart sports recognition program utilizes machine learning to achieve visual feedback on the three throwing technologies of draw, takeout and clearing. In addition, the developed smart life application uses a highsensitivity MCTP-sensor array design to achieve a variety of smart home interactions through simple finger touches. Overall,the IIS integrates the three major functions of smart sports sensing, energy capture, and smart home control, providing important application prospects in the fields of smart sports and human-computer interaction for the disabled.
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