You are here: Home » News-IANS » Health-Medicine
Business Standard

AI technique to sense posture through walls, help monitor Parkinson's

Topics
Health Medical Pharma

IANS  |  New York 

Scientists at the MIT have developed a novel technique that uses artificial intelligence (AI) to teach wireless devices to sense people's postures and movement, even from the other side of a wall, and could be used to monitor diseases like Parkinson's and multiple sclerosis (MS).

For the system named "RF-Pose," the researchers use a neural network to analyse radio signals that bounce off people's bodies, and can then create a dynamic stick figure that walks, stops, sits and moves its limbs as the person performs those actions.

The system could also help elderly people live more independently, while providing the added security of monitoring for falls, injuries and changes in activity patterns -- associated with Parkinson's, the researchers said.

"We've seen that monitoring patients' walking speed and ability to do basic activities on their own gives healthcare providers a window into their lives that they didn't have before, which could be meaningful for a whole range of diseases," said Dina Katabi, Professor at the US varsity.

The results will be presented at the forthcoming Conference on Computer Vision and Pattern Recognition (CVPR) in Salt Lake City, Utah.

For the study, the team collected examples using both their wireless device and a camera. They gathered thousands of images of people doing activities like walking, talking, sitting, opening doors and waiting for elevators.

They then used these images from the camera to extract the stick figures, which they showed to the neural network along with the corresponding radio signal. This combination of examples enabled the system to learn the association between the radio signal and the stick figures of the people in the scene.

Post-training, RF-Pose was able to estimate a person's posture and movements using only the wireless reflections that bounce off people's bodies.

Besides sensing movement, the authors also showed that they could use wireless signals to accurately identify somebody 83 per cent of the time out of a line-up of 100 individuals.

"By using this combination of visual data and AI to see through walls, we can enable better scene understanding and smarter environments to live safer, more productive lives," the researchers said.

--IANS

rt/vd

(This story has not been edited by Business Standard staff and is auto-generated from a syndicated feed.)

Dear Reader,


Business Standard has always strived hard to provide up-to-date information and commentary on developments that are of interest to you and have wider political and economic implications for the country and the world. Your encouragement and constant feedback on how to improve our offering have only made our resolve and commitment to these ideals stronger. Even during these difficult times arising out of Covid-19, we continue to remain committed to keeping you informed and updated with credible news, authoritative views and incisive commentary on topical issues of relevance.
We, however, have a request.

As we battle the economic impact of the pandemic, we need your support even more, so that we can continue to offer you more quality content. Our subscription model has seen an encouraging response from many of you, who have subscribed to our online content. More subscription to our online content can only help us achieve the goals of offering you even better and more relevant content. We believe in free, fair and credible journalism. Your support through more subscriptions can help us practise the journalism to which we are committed.

Support quality journalism and subscribe to Business Standard.

Digital Editor

First Published: Tue, June 12 2018. 16:18 IST
RECOMMENDED FOR YOU
RECOMMENDED FOR YOU