MIT researchers have created a new headset, called X-AR, that can help users find hidden or lost items by sending a wireless signal to any item that has a designated tag on it, reports WHDH. The augmented reality headset “allows them to see things that are otherwise not visible to the human eye,” explains Prof. Fadel Adib. “It visualizes items for people and then it guides them towards items.”
Boston.com reporter Ross Cristantiello writes that MIT researchers have developed a new augmented reality headset that combines computer vision and wireless perception to allow users to track and find objects hidden from view. “The system relies on radio frequency signals that can pass through everyday materials like cardboard, plastic, and wood,” Cristantiello explains.
Prof. Hari Balakrishnan has been selected as the recipient of the Marconi Prize for “fundamental discoveries in wired and wireless networking, mobile sensing, and distributed systems,” reports the Press Trust of India. “The Marconi Prize is awarded annually by The Marconi Society to innovators who have significantly contributed to increasing digital inclusivity through advanced information and communications technology.”
MIT engineers have developed an augmented reality headset that uses RFID technology to allow wearers to find objects, reports Tony Ho Tran for The Daily Beast. “The device is intended to assist workers in places like e-commerce warehouses and retail stores to quickly find and identify objects,” writes Tran. “It can also help technicians find tools and items they need to assemble products.”
An augmented reality headset developed by MIT engineers, called X-AR, uses RFID technology to help users find hidden objects, reports Andrew Paul for Popular Science. “X-AR’s creators were able to guide users with nearly 99 percent accuracy to items scattered throughout a warehouse testing environment,” writes Paul. “When those products were hidden within boxes, the X-AR still even boasted an almost 92 percent accuracy rate.”
MIT scientists have developed a miniature antenna that could one day be used to help safely transmit data from within living cells “by resonating with acoustic rather than electromagnetic waves,” reports Andrew Chapman for Scientific American. “A functioning antenna could help scientists power, and communicate with, tiny roving sensors within the cell,” writes Chapman, “helping them better understand these building blocks and perhaps leading to new medical treatments.”
Researchers at MIT are working on a system that can track the development of Parkinson’s disease by monitoring a person’s gait speed, reports Kyle Wiggers and Devin Coldewey for TechCrunch. “The MIT Parkinson’s-tracking effort aims to help clinicians overcome challenges in treating the estimated 10 million people afflicted by the disease globally,” writes Wiggers and Coldewey.
MIT researchers have developed a new in-home device that can help monitor Parkinson’s patients by tracking their gait, reports Hiawatha Bray for The Boston Globe. “We know very little about the brain and its diseases,” says Professor Dina Katabi. “My goal is to develop non-invasive tools that provide new insights about the functioning of the brain and its diseases.”
Popular Science reporter Philip Kiefer writes that MIT researchers have developed an in-home device that could be used to track the progression of symptoms in Parkinson’s patients. “We can’t really ask patients to come to the clinic every day or every week,” explains graduate student Yingcheng Liu. “This technology gives us the possibility to continuously monitor patients, and provide more objective assessments.”
Washington Post reporter Pranshu Verma writes about how Prof. Dina Katabi and her colleagues developed a new AI tool that could be used to help detect early signs of Parkinson’s by analyzing a patient’s breathing patterns. For diseases like Parkinson’s “one of the biggest challenges is that we need to get to [it] very early on, before the damage has mostly happened in the brain,” said Katabi. “So being able to detect Parkinson’s early is essential.”
Forbes contributor Jennifer Kite-Powell spotlights how MIT researchers created a new AI system that analyzes radio waves bouncing off a person while they sleep to monitor breathing patterns and help identify Parkinson’s disease. “The device can also measure how bad the disease has become and could be used to track Parkinson's progression over time,” writes Kite-Powell.
A new tool for diagnosing Parkinson’s disease developed by MIT researchers uses an AI system to monitor a person’s breathing patterns during sleep, reports Hiawatha Bray for The Boston Globe. “The system is capable of detecting the chest movements of a sleeping person, even if they’re under a blanket or lying on their side,” writes Bray. “It uses software to filter out all other extraneous information, until only the breathing data remains. Using it for just one night provides enough data for a diagnosis.”
Boston Globe reporter Hiawatha Bray speaks with Radio Boston host Tiziana Dearing about how MIT researchers developed an artificial intelligence model that uses a person’s breathing patterns to detect Parkinson’s Disease. The researchers “hope to continue doing this for other diseases like Alzheimer’s and potentially other neurological diseases,” says Bray.
Researchers at MIT have developed an artificial intelligence sensor that can track the progression of Parkinson’s disease in patients based on their breathing while they sleep, reports Conor Hale for Fierce Biotech. “The device emits radio waves and captures their reflection to read small changes in its immediate environment,” writes Hale. “It works like a radar, but in this case, the device senses the rise and fall of a person’s chest.”
MIT researchers have developed a new artificial intelligence system that uses a person’s breathing pattern to help detect Parkinson’s sisease, reports Susannah Sudborough for Boston.com. “The device emits radio signals, analyzes reflections off the surrounding environment, and monitors the person’s breathing patterns without any bodily contact,” writes Sudborough.