Breath-based human–machine interaction system using triboelectric nanogenerator

By Baosen Zhang, Yingjie Tang, Ranran Dai, Hongyi Wang, Xiupeng Sun, Cheng Qin, Zhifeng Pan, E. Liang, Yanchao Mao. Nano Energy, 2019

208 citations recorded by the source corpus.

Abstract Human-machine interface (HMI) is an emerging technology to exchange information between humans and electric devices. In current HMI devices, their crucial sensing components are mainly based on the interaction of physical movements and languages. However, these conventional HMI interacting methods are not friendly to some disabled persons owing to the difficulty to clearly express their intentions with gestures, limb motions, or languages. Additionally, these HMI sensing parts rely on traditional batteries, which require frequent charging or replacing. Here, we report a breath-driven single-electrode triboelectric nanogenerator (TENG) serving as a self-powered sensor to deliver control command through breathing for the HMI interaction. The TENG is on the basis of a flexible nanowire-structured polyethylene terephthalate (PET) polymer thin film, which can harvest mechanical energy of the airflow from human breathing and produce responsive electrical signals. By using this TENG as a self-powered sensor together with signal processing and transmitting circuits, a smart wireless breath-driven HMI system is further developed. Compared with the conventional HMI interacting methods, this smart system can convert real-time human breathing into command signals to control electrical appliances without relying on physical movements or languages. This work introduces a self-powered breath-based interacting method to the field of HMI technology. It could greatly reduce the threshold of using modern electrical equipment and personal electronics for disabled people, and make the HMI interaction become more convenient and captivating.

Subfields: Biomedical Engineering, Cognitive Neuroscience, Polymers and Plastics

View Paper: https://www.semanticscholar.org/paper/a45572588415b31ebd68b12083a8f5604115ce62

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In Biomedical Engineering

  1. Chengkuo Lee
  2. Tianyiyi He
  3. Zixuan Zhang
  4. Zhongda Sun
  5. Qiongfeng Shi
  6. Bowei Dong
  7. Jianxiong Zhu
  8. Xinge Guo

In Cognitive Neuroscience

  1. Chengkuo Lee
  2. Tianyiyi He
  3. Zixuan Zhang
  4. Qiongfeng Shi
  5. Jianxiong Zhu
  6. Bowei Dong
  7. Zhongda Sun
  8. Xinge Guo

In Polymers and Plastics

  1. Chengkuo Lee
  2. Tianyiyi He
  3. Zixuan Zhang
  4. Qiongfeng Shi
  5. Zhongda Sun
  6. Jianxiong Zhu
  7. Bowei Dong
  8. Xinge Guo

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