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3D printed triboelectric nanogenerator as self-powered human–machine interactive sensor for breathing-based language expression

引用

Nano Research 2022年第8期15卷 7460-7467页

作者： Pengcheng Zhu Baosen Zhang Hongyi Wang Yiheng Wu Hengjun Cao Liubing He Chaoyue Li Xuepeng Luo Xing Li Yanchao Mao Key Laboratory of Materials Physics Ministry of EducationSchool of Physics and MicroelectronicsZhengzhou UniversityZhengzhou 450001China

Human–machine interfaces(HMIs)are important windows for a human to communicate with the outside *** current HMI devices such as cellphones,tablets,and computers can be used to help people with aphasia for language ***,these conventional HMI devices are not friendly to some particular groups who also lose their abilities of physical movements like in the intensive care unit(ICU)or vegetative patients to realize language ***,we report a breath-driven triboelectric nanogenerator(TENG)acting as a HMI sensor for language expression through human breathing without voice controls or manual *** TENG is integrated within a mask and fabricated via a three-dimensional(3D)printing *** wearing the mask,the TENG can produce responsive electric signals corresponding to the airflow from breathing,which is capable of recognizing human breathing types with different intensities,lengths,and *** the basis of the breathing recognition ability,a breathing-based language expressing system is further developed through introducing the Morse code as a communication *** with conventional language expressing devices,this system can extract subjective information of a person from breathing behaviors and output corresponding language text,which is not relying on voices or physical *** research for the first time introduces the self-powered breathing-based language expressing method to the field of HMI technology by using a 3D printed TENG,and could make HMI interactions become more friendly and fascinating.

关键词： self-powered sensor triboelectric nanogenerator human-machine interface breathing-based language expression

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