Fully Discarded Cigarette Pack-Based Flexible Triboelectric Sensor for Human Motion Monitoring, Posture Recognition, and Human-Computer Interaction

IF 6.1 3区 材料科学 Q2 GREEN & SUSTAINABLE SCIENCE & TECHNOLOGY
Yun Yang, Zidan Wang, Lei Jia, Chao Ma, Xiaoyang Zhang, Ziheng Wang, Shuping Xue, Yingying Zhang, Hui Li, Tingting Cai
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Abstract

The disposal of cigarette product waste has become an urgent environmental issue. Triboelectric nanogenerators (TENGs) bring the possibility of resource utilization of discarded cigarette packages due to their ability to use various materials for sensing and energy harvesting. However, the TENGs based on waste materials reported have problems such as low utilization rate of waste and high manufacturing costs. To address these issues, a fully discarded cigarette pack-based flexible triboelectric sensor is proposed. The material is entirely sourced from the main waste of cigarette packs and the preparation process is simple, making it both environmentally friendly and economically advantageous. The sensor exhibits a wide detection range and good sensitivity to the change of force. In addition, it performs well in applications such as human motion monitoring, sitting posture recognition, and human-computer interaction. Specifically, it can effectively perceive joint movements and changes in plantar pressure resulting from various actions; combined with a linear support vector machine, it achieves accurate recognition of four common sitting postures with an accuracy of 99.5%; and it has been integrated into a wearable remote control system, enabling remote interaction with rescue vehicles. This study provides a new solution for the high-value utilization of discarded cigarette packages.

Abstract Image

基于完全废弃烟盒的柔性摩擦电传感器,用于人体运动监测、姿势识别和人机交互
卷烟产品废弃物的处理已成为一个紧迫的环境问题。摩擦电纳米发电机(TENGs)由于能够使用各种材料进行传感和能量收集,为废弃卷烟包装带来了资源利用的可能性。然而,所报道的基于废弃物的teng存在废弃物利用率低、制造成本高等问题。为了解决这些问题,提出了一种基于完全废弃卷烟包的柔性摩擦电传感器。该材料完全来自卷烟包装的主要废物,制备过程简单,既环保又经济。该传感器具有较宽的检测范围和对力变化的良好灵敏度。此外,它在人体运动监测、坐姿识别、人机交互等应用中表现良好。具体来说,它能有效感知关节运动和各种动作引起的足底压力变化;结合线性支持向量机,实现了对四种常见坐姿的准确识别,准确率达到99.5%;它已经集成到一个可穿戴的远程控制系统中,可以与救援车辆进行远程交互。本研究为废弃卷烟包装的高价值利用提供了新的解决方案。
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来源期刊
Advanced Sustainable Systems
Advanced Sustainable Systems Environmental Science-General Environmental Science
CiteScore
10.80
自引率
4.20%
发文量
186
期刊介绍: Advanced Sustainable Systems, a part of the esteemed Advanced portfolio, serves as an interdisciplinary sustainability science journal. It focuses on impactful research in the advancement of sustainable, efficient, and less wasteful systems and technologies. Aligned with the UN's Sustainable Development Goals, the journal bridges knowledge gaps between fundamental research, implementation, and policy-making. Covering diverse topics such as climate change, food sustainability, environmental science, renewable energy, water, urban development, and socio-economic challenges, it contributes to the understanding and promotion of sustainable systems.
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