Journal
ADVANCED MATERIALS INTERFACES
Volume 9, Issue 22, Pages -Publisher
WILEY
DOI: 10.1002/admi.202201202
Keywords
human-machine interface; respiratory monitoring; self-powered sensors; smart system control; triboelectric nanogenerators
Funding
- National Science Foundation [ECCS-2024649]
- US DOT [693JK32050003CAAP]
- Case Western Reserve University
Ask authors/readers for more resources
This study presents a breath-driven triboelectric sensor for self-powered respiratory monitoring and smart system control. The sensor effectively detects breath variations and generates electrical signals based on breath patterns, with advantages of high sensitivity, good stability, low cost, and ease of use.
Innovative human-machine interfaces (HMIs) have attracted increasing attention in the field of system control and assistive devices for disabled people. Conventional HMIs that are designed based on the interaction of physical movements or language communication are not effective or appliable to severely disabled users. Here, a breath-driven triboelectric sensor is reported consisting of a soft fixator and two circular-shaped triboelectric nanogenerators (TENGs) for self-powered respiratory monitoring and smart system control. The sensor device is capable of effectively detecting the breath variation and generates responsive electrical signals based on different breath patterns without affecting the normal respiration. A breathing-driven HMI system is demonstrated for severely disabled people to control electrical household appliances and shows an intelligent respiration monitoring system for emergence alarm. The new system provides the advantages of high sensitivity, good stability, low cost, and ease of use. This work will not only expand the development of the TENGs in self-powered sensors, but also opens a new avenue to develop assistive devices for disabled people through innovation of advanced HMIs.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available