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Category: wearables – Page 3

Using electrodes in a fluid form, researchers at Linköping University have developed a battery that can take any shape. This soft and conformable battery can be integrated into future technology in a completely new way. Their study has been published in the journal Science Advances.

“The texture is a bit like toothpaste. The material can, for instance, be used in a 3D printer to shape the battery as you please. This opens up for a new type of technology,” says Aiman Rahmanudin, assistant professor at Linköping University.

It is estimated that more than a trillion gadgets will be connected to the Internet in 10 years’ time. In addition to traditional technology such as mobile phones, smartwatches and computers, this could involve wearable medical devices such as , pacemakers, hearing aids and various health monitoring sensors, and in the long term also , e-textiles and connected nerve implants.

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Wearables such as smartwatches, fitness trackers, or data glasses have become an integral part of our everyday lives. They record health data, monitor your sleep, or calculate your calorie consumption. Researchers from Karlsruhe Institute of Technology (KIT) have developed the open-source platform “OpenEarable.” It integrates a multitude of sensors into wireless earphones with the aim to enhance health measurements and safety applications in medicine, industry, and everyday life. The scientists are currently presenting their platform at Hannover Messe from March 31 to April 4.

Wearable technologies have made significant progress in recent years, but many of the existing systems are either proprietary, i.e. not customizable by others, or their measurement capabilities are limited. With OpenEarable 2.0, a research team headed by Dr. Tobias Röddiger from KIT’s TECO research group moves one step further: The open-source platform for ear-based sensor applications enables developers to create customized software. With a unique combination of sensors, more than 30 physiological parameters can be measured directly at the ear – from heart rate and breathing patterns to fatigue and body temperature. “Our aim was to create an open and high-precision solution for health monitoring that goes far beyond what is possible with today’s commercial wearables,” says Röddiger. “OpenEarable 2.0 provides a platform for researchers and developers that is easily customizable and scalable. This allows them to program the earphones individually for specific requirements.

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A race is on in solar engineering to create almost impossibly-thin, flexible solar panels. Engineers imagine them used in mobile applications, from self-powered wearable devices and sensors to lightweight aircraft and electric vehicles. Against that backdrop, researchers at Stanford University have achieved record efficiencies in a promising group of photovoltaic materials.

Chief among the benefits of these transition metal dichalcogenides – or TMDs – is that they absorb ultrahigh levels of the sunlight that strikes their surface compared to other solar materials.

“Imagine an autonomous drone that powers itself with a solar array atop its wing that is 15 times thinner than a piece of paper,” said Koosha Nassiri Nazif, a doctoral scholar in electrical engineering at Stanford and co-lead author of a study published in the Dec. 9 edition of Nature Communications. “That is the promise of TMDs.”

The search for new materials is necessary because the reigning king of solar materials, silicon, is much too heavy, bulky and rigid for applications where flexibility, lightweight and high power are preeminent, such as wearable devices and sensors or aerospace and electric vehicles.

New, ultrathin photovoltaic materials could eventually be used in mobile applications, from self-powered wearable devices and sensors to lightweight aircraft and electric vehicles.

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The field of spintronics, which integrates the charge and spin properties of electrons to develop electronic devices with enhanced functionality and energy efficiency, has expanded into new applications.

Beyond current technologies such as read heads and magnetic random-access memory (MRAM), researchers are now investigating flexible spintronics for use in wearable devices and sheet-type sensors.

For these applications, detecting small changes in through electrical resistance modulation is essential. This requires not only materials with significant magnetoresistance effects but also control over their magnetoelastic properties.

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Researchers at the Institute of Automation of the Chinese Academy of Sciences have developed a compact, battery-powered brain stimulation device capable of delivering therapeutic magnetic pulses while a person is walking or performing everyday activities.

Repetitive transcranial magnetic stimulation is used to treat conditions such as depression, stroke-related motor impairment, and other neuropsychiatric disorders. It is also used in cognitive and motor function research.

Existing systems need to be plugged into a power supply and have bulky designs meant for stationary use in . These limitations prevent stimulation during natural movement, such as standing and walking, making at-home or on-the-go treatments impractical.

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A research team has developed the world’s first smartphone-type OLED panel that can freely transform its shape while simultaneously functioning as a speaker—all without sacrificing its ultra-thin, flexible properties.

The study, led by POSTECH’s (Pohang University of Science and Technology) Professor Su Seok Choi from the Department of Electrical Engineering and conducted by Ph.D. candidates Jiyoon Park, Junhyuk Shin, Inpyo Hong, Sanghyun Han, and Dr. Seungmin Nam, was published in the March online edition of npj Flexible Electronics.

As the industry rapidly advances toward flexible technologies—bendable, foldable, rollable, and stretchable—most implementations still rely on mechanical structures such as hinges, sliders, or motorized arms. While these allow for shape adjustment, they also result in increased thickness, added weight, and limited form factor design. These drawbacks are particularly restrictive for smartphones and wearable electronics, where compactness and elegance are critical.

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From virtual reality to rehabilitation and communication, haptic technology has revolutionized the way humans interact with the digital world. While early haptic devices focused on single-sensory cues like vibration-based notifications, modern advancements have paved the way for multisensory haptic devices that integrate various forms of touch-based feedback, including vibration, skin stretch, pressure, and temperature.

Recently, a team of experts, including Rice University’s Marcia O’Malley and Daniel Preston, graduate student Joshua Fleck, alumni Zane Zook ‘23 and Janelle Clark ‘22 and other collaborators, published an in-depth review in Nature Reviews Bioengineering analyzing the current state of wearable multisensory , outlining its challenges, advancements, and real-world applications.

Haptic devices, which enable communication through touch, have evolved significantly since their introduction in the 1960s. Initially, they relied on rigid, grounded mechanisms acting as user interfaces, generating force-based feedback from virtual environments.

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When it comes to haptic feedback, most technologies are limited to simple vibrations. But our skin is loaded with tiny sensors that detect pressure, vibration, stretching and more. Now, Northwestern University engineers have unveiled a new technology that creates precise movements to mimic these complex sensations.

The study, “Full freedom-of-motion actuators as advanced haptic interfaces,” is published in the journal Science.

While sitting on the skin, the compact, lightweight, wireless device applies force in any direction to generate a variety of sensations, including vibrations, stretching, pressure, sliding and twisting. The device can also combine sensations and operate fast or slowly to simulate a more nuanced, realistic sense of touch.

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The healthcare industry faces a significant shift towards digital health technology, with a growing demand for real-time and continuous health monitoring and disease diagnostics [1, 2, 3]. The rising prevalence of chronic diseases, such as diabetes, heart disease, and cancer, coupled with an aging population, has increased the need for remote and continuous health monitoring [4, 5, 6, 7]. This has led to the emergence of artificial intelligence (AI)-based wearable sensors that can collect, analyze, and transmit real-time health data to healthcare providers so that they can make efficient decisions based on patient data. Therefore, wearable sensors have become increasingly popular due to their ability to provide a non-invasive and convenient means of monitoring patient health. These wearable sensors can track various health parameters, such as heart rate, blood pressure, oxygen saturation, skin temperature, physical activity levels, sleep patterns, and biochemical markers, such as glucose, cortisol, lactates, electrolytes, and pH and environmental parameters [1, 8, 9, 10]. Wearable health technology includes first-generation wearable technologies, such as fitness trackers, smartwatches, and current wearable sensors, and is a powerful tool in addressing healthcare challenges [2].

The data collected by wearable sensors can be analyzed using machine learning (ML) and AI algorithms to provide insights into an individual’s health status, enabling early detection of health issues and the provision of personalized healthcare [6,11]. One of the most significant advantages of AI-based wearable health technology is to promote preventive healthcare. This enables individuals and healthcare providers to proactively address symptomatic conditions before they become more severe [12,13,14,15]. Wearable devices can also encourage healthy behavior by providing incentives, reminders, and feedback to individuals, such as staying active, hydrating, eating healthily, and maintaining a healthy lifestyle by measuring hydration biomarkers and nutrients.

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