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A deep-learning-enhanced e-skin that can decode complex human motions

Researchers at Seoul National University and Korea Advanced Institute of Science and Technology (KAIST) have recently developed a sensor that can act as an electronic skin and integrated it with a deep neural network. This deep learning-enhanced e-skin system, presented in a paper published in Nature Communications, can capture human dynamic motions, such as rapid finger movements, from a distance.

The new system stems from an interdisciplinary collaboration that involves experts in the fields of mechanical engineering and computer science. The two researchers who led the recent study are Seung Hwan Ko, a professor of mechanical engineering at Soul National University and Sungho Jo, a computing professor at KAIST.

For several years, Prof. Ko had been trying to develop highly sensitive strain by generating cracks in metal nanoparticle films using laser technology. The resulting sensor arrays were then applied to a virtual reality (VR) glove designed to detect the movements of people’s fingers.

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New device simulates feel of walls, solid objects in virtual reality

Today’s virtual reality systems can create immersive visual experiences, but seldom do they enable users to feel anything—particularly walls, appliances and furniture. A new device developed at Carnegie Mellon University, however, uses multiple strings attached to the hand and fingers to simulate the feel of obstacles and heavy objects.

By locking the strings when the user’s hand is near a virtual wall, for instance, the device simulates the sense of touching the wall. Similarly, the string mechanism enables people to feel the contours of a virtual sculpture, sense resistance when they push on a piece of furniture or even give a high five to a virtual character.

Cathy Fang, who will graduate from CMU next month with a joint degree in mechanical engineering and , said the shoulder-mounted device takes advantage of spring-loaded strings to reduce weight, consume less battery power and keep costs low.

Technology in medicine: What will the future healthcare be like?

#Technology in #medicine: What will the #future #healthcare be like? https://www.neurozo-innovation.com/post/future-health Technologies have made many great impacts on our medical system in recent years. The article will first give a thorough summarization of them, and then the expectations and potential problems regarding future healthcare will be discussed. #AI #5G #VR #AR #MR #3DPrinting #BrainComputerInterface #telemedicine #nanotechnology #drones #SelfDriving #blockchain #robotics #innovation #trend


Technology has many beneficial effects on modern people’s lives, and one of them is to prolong our lifespan through advancing the medical field. In the past few years, new techniques such as artificial intelligence, robots, wearable tech, and so on have been used to improve the quality of our healthcare system, and some even newer innovations such as flying vehicles and brain computer interface are also considered valuable to the field. In this article, we will first give a thorough discussion about how these new technologies will shape our future healthcare, and then some upcoming problems that we may soon face will be addressed.

Tech’s Biggest Leaps From the Last 10 Years, and Why They Matter

As we enter our third decade in the 21st century, it seems appropriate to reflect on the ways technology developed and note the breakthroughs that were achieved in the last 10 years.

The 2010s saw IBM’s Watson win a game of Jeopardy, ushering in mainstream awareness of machine learning, along with DeepMind’s AlphaGO becoming the world’s Go champion. It was the decade that industrial tools like drones, 3D printers, genetic sequencing, and virtual reality (VR) all became consumer products. And it was a decade in which some alarming trends related to surveillance, targeted misinformation, and deepfakes came online.

For better or worse, the past decade was a breathtaking era in human history in which the idea of exponential growth in information technologies powered by computation became a mainstream concept.

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