Enhanced Tactile Perception for Human–Machine Interaction Using a Triboelectric Touchpad
Thanjan Shaji Bincy, Asokan Poorani Sathya Prasanna, Monunith Anithkumar, Sang‐Jae Kim
- Year
- 2025
- Citations
- 2
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/m2. 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.
Keywords
Related papers
Statistical Learning Theory
Yuhai Wu, Vladimir Vapnik
1999
Artificial intelligence: a modern approach
1995
Applied Nonlinear Control
Jean-Jacques Slotine, Weiping Li
1991
A new optimizer using particle swarm theory
R.C. Eberhart, James Kennedy
2002