谷歌浏览器插件
订阅小程序
在清言上使用

Touch‐Enabled Self‐Powered Elastomeric Keypad for Mapping Human Input and an Emergency Alert Via Triboelectric Effect

ENERGY TECHNOLOGY(2024)

引用 0|浏览7
暂无评分
摘要
The demand for smart, flexible electronics and wearable devices has been increasing rapidly, thereby making the user comfortable by bridging the gap between humans and machines. Herein, groundbreaking research in the field of wearable triboelectric nanogenerators (TENGs) and their innovative applications are presented by exploring a novel silicone elastomer‐based TENG. Different approaches involve the creation of wearable flexion and ring sensors for harvesting biomechanical energy from the natural finger joint motions and for sensing finger movements, wherein the silicone film acts as triboelectric negative material and human skin acts as the positive material. Additionally, the article describes the development of a touch keypad comprising 12 silicone film‐based TENG devices arranged in a 3 × 4 keypad array. Each keypress results in triboelectrification, converting mechanical energy into electrical power. Integrating an Arduino microcontroller and a graphical user interface provides user‐friendly and interactive functionality for recognizing and visualizing keypresses. Most notably, the article introduces the novel concept of an emergency alarm system, the “global emergency tracker system,” employing the 12‐keypad array. Users can trigger security alerts by pressing specific key patterns, such as “SOS” or “911.” This work showcases the potential of TENGs in wearable technology, human–machine interfaces, and security systems, pushing the boundaries of energy harvesting and practical applications in diverse fields. The combination of materials, device designs, and applications highlights the innovative nature of this research, promising advancements in sustainable energy generation and personal safety.
更多
查看译文
关键词
biomechanical energy,elastomeric,emergency tracker,security applications,triboelectric nanogenerators,wearable
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要