He also foresees applications in virtual platforms. Among the possible uses are mechanosensitive electronics for electronic skins and soft actuators. “Since the devices are soft, wearable, and biocompatible, could be widely adopted for HMI applications,” he says. In their demonstration, the researchers integrated a circuit with buttons to operate a desk lamp and a music player.Ĭhen is interested in commercializing the technology. These characteristics make it conducive to controlling electronic devices in real time. It was unperturbed by a strain of up to 150 percent, and exhibited wide pressure sensitivity as well as a response time of 0.2 seconds at a 1-hertz frequency. Additionally, the magnetic field was not particularly affected by the device being wet. The material was flexible, elastic, and durable, generating stable power even when rolled, folded, and stretched. The research team used methods like 3D printing, the reverse-mold process, and laser patterning, but, he adds, costs can be further reduced by exploring more economical range of micromagnets to nanomagnets and polymer-matrix materials, or replacing the liquid metal coils layer with a fine-design solid conductive wire layer that is suitable for large-scale fabrication.
The fabrication processes involved in making magnetoelastic HMI devices are straightforward, Chen says. “Compared with conventional HMI devices, which are non-self-powered, our device will much less power consumption.” “In this way, device works in a self-powered manner,” Chen says. The latter responds to the magnetic variations and generates electricity (electromagnetic induction).
The prototype was a 4-by-4-centimeter array comprising two components: a layer of nanomagnets in a porous silicone rubber matrix that converts biomechanical pressure (touch of a finger) into a magnetic response and a magnetic induction layer of patterned liquid metal coils. “ a measured magnetoelastic effect with a five times enhancement compared to that in metals and metal alloys.” As a result, they dubbed it the “ giant magnetoelastic effect.” Speaking of their current work, he adds, “we harnessed this discovery to develop a fundamentally new and wearable HMI.” The effect is traditionally observed in rigid metals and metal alloys, Chen says, but in 2021, the researchers observed the effect in his lab, in a soft system composed of magnets ranging in size from micro to nano and a polymer matrix. In fact, the current study expands upon the group’s earlier work demonstrating the magnetoelastic effect in a soft polymer system. The researchers, lead by Jun Chen of UCLA’s Wearable Bioelectronics Research Group, used what is known as the magnetoelastic effect (also known as inverse magnetorestriction), discovered in the 1860s, describing the variation in magnetization of a material under mechanical stress. They tested it in a variety of real-world conditions as well, including in a water spray, in heavy rain, and during vigorous physical activity. The team demonstrated this by controlling a music player and turning an electric lamp on and off.
The device is intrinsically waterproof, biocompatible, and able to convert the force induced by pressing a finger on it into a continuous electrical signal. Their study has been published in Applied Physics Reviews. The device comprises a magnetoelastic sensor array that converts ambient biomechanical motion into electrical signals.
To address this issue, a research team at the Samueli School of Engineering at the University of California, Los Angeles, have come up with a prototype of a waterproof, flexible, and low-cost skin-integrated HMI. Despite these advances, most wearable HMIs still remain relatively defenseless to moisture, such as sweating and weather conditions. Today, we also have various self-powered HMIs, using piezoelectricity and triboelectricity, for example, for power generation. Over the past few decades, human-machine interface (HMI) technologies, especially driven by the demands of wearables, have progressed rapidly-into smaller, lighter, more efficient, more robust forms.
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