Single channel based interference-free and self-powered human-machine interactive interface using eigenfrequency-dominant mechanism

TL;DR

This paper introduces a novel single-channel, self-powered human-machine interface that uses eigenfrequency-dominant mechanisms in magnetized micropillars to enable interference-free control, reducing complexity and power consumption.

Contribution

The study presents a new one-channel HMI system utilizing eigenfrequency of magnetized micropillars for identification, eliminating the need for sensor arrays and wiring complexity.

Findings

Interference-free command allocation using eigenfrequency differentiation.

High-capacity HMI achieved with minimal hardware.

Design guidelines for tuning eigenfrequencies of micropillars.

Abstract

The recent development of wearable devices is revolutionizing the way of human-machine interaction (HMI). Nowadays, an interactive interface that carries more embedded information is desired to fulfil the increasing demand in era of Internet of Things. However, present approach normally relies on sensor arrays for memory expansion, which inevitably brings the concern of wiring complexity, signal differentiation, power consumption, and miniaturization. Herein, a one-channel based self-powered HMI interface, which uses the eigenfrequency of magnetized micropillar (MMP) as identification mechanism, is reported. When manually vibrated, the inherent recovery of the MMP caused a damped oscillation that generates current signals because of Faraday's Law of induction. The time-to-frequency conversion explores the MMP-related eigenfrequency, which provides a specific solution to allocate diverse commands in an interference-free behavior even with one electric channel. A cylindrical cantilever model was built to regulate the MMP eigenfrequencies via precisely designing the dimensional parameters and material properties. We show that using one device and two electrodes, high-capacity HMI interface can be realized when the MMPs with different eigenfrequencies have been integrated. This study provides the reference value to design the future HMI system especially for situations that require a more intuitive and intelligent communication experience with high-memory demand.