Enhanced Tactile Perception for Human–Machine Interaction Using a Triboelectric Touchpad
Source abstract
Abstract
In this technologically developed era, human–machine interaction devices for tactile sensing have gained popularity due to their ease of analyzing, reliability, and bridging the gap between existing rigid electronic sensors. However, the challenge lies in developing a cost-effective and easy-to-integrate device for practical applications. Herein, we have developed a human–machine interaction system for tactile perception using a network with mechano-electric sensors, processing units, and computation. PDMS/tin oxide composite film-based self-powered mechano-electric sensors with a triboelectric effect were optimized. The optimized TENG devices showed a maximum voltage of 175 V and a current density of 0.71 mA/m 2 . The device was able to charge commercial capacitors and power low-powered electronics. The prepared device was then employed for tactile sensing, which in turn can be utilized for futuristic purposes such as robotics, prosthetics, automated vehicles, sports, and medical applications.
Source: openalex_inverted_index · Quality: baseline
Research context
OpenAlex topics: Tactile and Sensory Interactions · Advanced Sensor and Energy Harvesting Materials · Interactive and Immersive Displays
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Nanomaterials & System Laboratory, Major of Mechatronics Engineering, Faculty of Applied Energy System
Jeju National University
Nanomaterials & System Laboratory, Major of Mechanical System Engineering, College of Engineering
Green Hydrogen Glocal Leading Research Center (gH2-RC)
Funding
National Research Foundation of Korea
References (29)
Show source-provided references
1. 10.1002/aesr.20230024710.1002/aesr.202300247 ↗
2. 10.1016/j.nanoen.2022.10711210.1016/j.nanoen.2022.107112 ↗
3. 10.1016/j.apenergy.2024.12359010.1016/j.apenergy.2024.123590 ↗
4. 10.1016/j.susmat.2023.e0070010.1016/j.susmat.2023.e00700 ↗
5. 10.1002/adma.20200417810.1002/adma.202004178 ↗
6. 10.1038/s41467-019-13166-610.1038/s41467-019-13166-6 ↗
7. 10.1021/acssuschemeng.1c0803010.1021/acssuschemeng.1c08030 ↗
8. 10.1016/j.nanoen.2023.10878710.1016/j.nanoen.2023.108787 ↗
9. 10.1126/sciadv.adc875810.1126/sciadv.adc8758 ↗
10. 10.1038/s41467-021-24417-w10.1038/s41467-021-24417-w ↗
11. 10.1021/acsnano.2c1245810.1021/acsnano.2c12458 ↗
12. 10.1016/j.mtener.2023.10139310.1016/j.mtener.2023.101393 ↗
13. 10.1016/j.nanoen.2019.10427210.1016/j.nanoen.2019.104272 ↗
14. 10.1002/eom2.1206210.1002/eom2.12062 ↗
15. 10.1016/j.nanoen.2024.10931310.1016/j.nanoen.2024.109313 ↗
16. 10.1039/D3TA05178A10.1039/D3TA05178A ↗
17. 10.1002/adfm.20200722110.1002/adfm.202007221 ↗
18. 10.1002/adfm.20230347110.1002/adfm.202303471 ↗
19. 10.1016/j.nanoen.2021.10633010.1016/j.nanoen.2021.106330 ↗
20. 10.1016/j.surfin.2023.10336910.1016/j.surfin.2023.103369 ↗
21. 10.1002/admt.20230049510.1002/admt.202300495 ↗
22. 10.1007/s42114-024-00967-710.1007/s42114-024-00967-7 ↗
23. 10.1016/j.nanoen.2024.10972910.1016/j.nanoen.2024.109729 ↗
24. 10.1016/j.jcrysgro.2004.03.03010.1016/j.jcrysgro.2004.03.030 ↗
25. 10.1002/adfm.20221390710.1002/adfm.202213907 ↗
26. 10.1016/j.nanoen.2024.11034410.1016/j.nanoen.2024.110344 ↗
27. 10.1002/smm2.127010.1002/smm2.1270 ↗
28. 10.1016/j.nanoen.2019.04.00410.1016/j.nanoen.2019.04.004 ↗
29. 10.1002/adem.20170027510.1002/adem.201700275 ↗