MIT scientists have developed an artificial intelligence (AI) X-ray vision system that can sense people’s postures and movements from the other side of a solid wall. The “RF-Pose” uses AI to teach wireless devices to sense people’s postures and movement, even from the other side of a wall.
The researchers used 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 team said that the system could be used to monitor diseases like Parkinson’s and multiple sclerosis (MS), providing a better understanding of disease progression and allowing doctors to adjust medications accordingly. It could also help elderly people live more independently, while providing the added security of monitoring for falls, injuries and changes in activity patterns.
The team is currently working with doctors to explore multiple applications in healthcare. “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 from Massachusetts Institute of Technology (MIT) in the US. “A key advantage of our approach is that patients do not have to wear sensors or remember to charge their devices,” said Katabi.
Besides health-care, the team said that RF-Pose could also be used for new classes of video games where players move around the house, or even in search-and-rescue missions to help locate survivors. Researchers 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 without cameras, using only the wireless reflections that bounce off people’s bodies. Besides sensing movement, researchers 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. This ability could be particularly useful for the application of search-and-rescue operations, when it may be helpful to know the identity of specific people. The model outputs a 2D stick figure, but the team is also working to create 3D representations that would be able to reflect even smaller micromovements.
Huawei Watch GT Active With Up to Two-Weeks Battery Life Launched in India
Huawei announced on Monday that its new Huawei Watch GT Active is now available in India. The smartwatch was launched in March this year, alongside the Huawei P30 series phones. Huawei’s Watch GT Active is available exclusively on Flipkart starting today. The company claims its Watch GT Classic has received a good response in India. The Huawei Watch GT Active is priced at Rs. 15,990 in India and it is compatible with both Android and iOS devices.
The Huawei Watch GT Active features a 46mm case and includes a 1.39-inch AMOLED HD display with a resolution of 454×454 pixels. The company claims its new smartwatch is lightweight, making it more comfortable to wear for a longer period of time.
Probably the biggest advantage of the Huawei Watch GT Active is the promised ‘up to two weeks’ battery life on a single charge.
Huawei claims its research concluded that charging smartwatches was painful for consumers. The company’s in-house Lite OS, that powers the Watch GT Active, along with the dual-chipset helps deliver a much longer battery life. According to the company, the users can expect a much better battery life with its Huawei Watch GT Active under typical usage conditions. These include wearing the smartwatch all day long, keeping heart rate function activated, 90 minutes of workout, and notifications.
Besides good battery life, the Huawei Watch GT Active features heart rate and sleep monitoring capabilities. A self-learning algorithm can detect and monitor both indoor and outdoor activities. The smartwatch also features a Triathlon mode that can help track swimming, cycling, and running.
Huawei Watch GT Active also comes with TruSleep 2.0 and TruSeen 3.0. The former helps keep track of your health and sleep patterns while the latter offers continuous heart-rate monitoring. The smartwatch can also offer over 200 suggestions to help you sleep better. As we mentioned earlier, the Huawei Watch GT Active runs on the company’s Lite OS.
The smartwatch is available on Flipkart starting today, priced at Rs. 15,990, in two colour variants. It comes with a standard 1-year warranty and 10-day replacement warranty via Flipkart. Thanks to the ongoing Big Shopping Days sale, consumers can grab additional discounts in the form of bundled payment offers from SBI credit cards and no-cost EMI options.
Xiaomi Mi Super Bass Wireless Around-Ear Headphones Launched in India
Xiaomi has launched the Mi Super Bass Wireless Headphones in India. The headphones are priced at Rs. 1,799, and are the latest entrant in the company’s growing portfolio of affordable audio accessories, which also includes wired and wireless earphones and headphones, a soundbar, wireless speakers, and more. Mi Super Bass Wireless Headphones launch coincides with Amazon’s Prime Day sale, and the Xiaomi headphones are just one of the thousand products debuting on the e-retail giant as a part of the Prime Day sale. The headphones are available in two colour options – black-and-red and black-and-gold – and can be purchased via Amazon and Mi India online store.
The Xiaomi Mi Super Bass Wireless Headphones feature an around-ear design with padding under the headband and around the ears. Battery life is claimed to be 20 hours per charge, and the headphones use 40mm dynamic drivers and Bluetooth 5.0 for connectivity. There is also the ability to invoke the voice assistant on your phone through the headphones directly, and as the name suggests, the audio tuning has been geared around strong bass.
The Xiaomi Mi Super Bass Wireless Headphones can be charged through a Micro-USB port at the bottom, and the headphones also support wired connectivity through the 3.5mm socket for when the battery runs out. The headphones go up against other affordable wireless options such as the Boat Rockerz 400 and Ant Audio Treble 900, but have the advantage of an around-ear design that many users will find more comfortable.
The Xiaomi Mi Super Bass Wireless Headphones have been launched during the Amazon Prime Day sale and are available on Amazon as a result, but can also be bought on the Xiaomi India online store at the same price. Xiaomi’s range of audio products in India also includes the Mi Soundbar, which is priced at Rs. 4,999 and offers a significant volume boost for your TV at a reasonable price.
Dancing to Saaki a dream: Nora Fatehi
Dancer-actress Nora Fatehi is back with another recreation of an old hit dance number, and she is sure setting the temperatures soaring once again.
Nora’s new dance is a new-age version of the song “Saaki”, for the upcoming John Abraham-starrer, ‘Batla House.’ The dance number is a recreation of the hit song of the same name from the 2004 film ‘Musafir.’
The Canadian-origin dancer-actress says bagging this opportunity is no less than a dream.
“Saaki” follows “Dilbar”, her hit dance number in last year’s ‘Satyameva Jayate’, which was recreated from an Sushmita Sen’s original dance in the 1999 film, ‘Sirf Tum’.
The new version of “Saaki” has been recomposed by Bollywood’s king of recreations, Tanishk Bagchi, and sung by Neha Kakkar and Tulsi Kumar.
“Getting the opportunity to be able to perform on a song like ‘saaki’, which has been made on such an epic level by Tanishk, and sung by Neha and Tulsi, is a dream,” said Nora.
“The way Tanishk has composed this song is out of this world and I knew that visually I’d have to match up. I learnt to dance with fire fans for the first time in only three days,” she added, about the challenging dance moves.
“The fire fans were heavy and dancing with fire is very risky. It was difficult to manoeuver and dance with them effortlessly.
Thankfully, I had the drive to do it because I wanted the audience to see me add something new to my dance (repertoire).
“The best part is I am acting in the film ‘Batla House’, so my character’s performance to the song leads up to a very important sequence that carries the story forward,” she shared.
Choreographed and directed by Adil Sheikh, the teaser of the song that released two days ago, has already garnered great traction from netizens.
Tulsi is positive about “Saaki” becoming the dance anthem of the season. “In the past as well, everyone grooved to the track and it’s back in a completely new version.
“This year is about reinventing my voice, challenging myself to show a different side of my vocal quality. With this song, I have pushed my boundaries,” added the “Dekh lena” singer, popular for crooning romantic soft numbers.
With this song, Tulsi steps into the domain of “high on energy, peppy dance tracks”. “I am completely enjoying (the experience),” she said. While the musical team of ‘Batla House’ is gung-ho about the song, Koena Mitra, who featured on screen in the ‘Musafir’ number, wasn’t too impressed.
“My song from ‘Musafir’, ‘Saaki’, has been recreated. The combination of Sunidhi, Sukhwinder, Vishal and Shekhar was outstanding. (I) Didn’t like the new version, it’s a mess!” Koena tweeted.
The original track by composers Vishal-Shekhar was sung by Sunidhi Chauhan and Sukhwinder Singh.Dancing to Saaki a dream: Nora Fatehi.
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