Featured video: A self-driving wheelchair

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According to MIT News 

Singapore and MIT have been at the forefront of autonomous vehicle development. First, there were self-driving golf buggies. Then, an autonomous electric car. Now, leveraging similar technology, MIT and Singaporean researchers have developed and deployed a self-driving wheelchair at a hospital.

Spearheaded by Daniela Rus, the Andrew (1956) and Erna Viterbi Professor of Electrical Engineering and Computer Science and director of MIT’s Computer Science and Artificial Intelligence Laboratory, this autonomous wheelchair is an extension of the self-driving scooter that launched at MIT last year — and it is a testament to the success of the Singapore-MIT Alliance for Research and Technology, or SMART, a collaboration between researchers at MIT and in Singapore.

 

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This article and images were originally posted on [MIT News] July 26, 2017 at 03:35PM

Credit to Author and MIT News – Computer Science and Artificial Intelligence Laboratory (CSAIL)

 

 

 

Detecting emotions with wireless signals | ESIST 

 

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As many a relationship book can tell you, understanding someone else’s emotions can be a difficult task. Facial expressions aren’t always reliable: A smile can conceal frustration, while a poker face might mask a winning hand.

But what if technology could tell us how someone is really feeling?

Researchers from MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) have developed “EQ-Radio,” a device that can detect a person’s emotions using wireless signals.

By measuring subtle changes in breathing and heart rhythms, EQ-Radio is 87 percent accurate at detecting if a person is excited, happy, angry or sad — and can do so without on-body sensors.

MIT professor and project lead Dina Katabi envisions the system being used in entertainment, consumer behavior, and health care. Film studios and ad agencies could test viewers’ reactions in real-time, while smart homes could use information about your mood to adjust the heating or suggest that you get some fresh air.

“Our work shows that wireless signals can capture information about human behavior that is not always visible to the naked eye,” says Katabi, who co-wrote a paper on the topic with PhD students Mingmin Zhao and Fadel Adib. “We believe that our results could pave the way for future technologies that could help monitor and diagnose conditions like depression and anxiety.”

EQ-Radio builds on Katabi’s continued efforts to use wireless technology for measuring human behaviors such as breathing and falling. She says that she will incorporate emotion-detection into her spinoff company Emerald, which makes a device that is aimed at detecting and predicting falls among the elderly.

The team will present the work next month at the Association of Computing Machinery’sInternational Conference on Mobile Computing and Networking (MobiCom).

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by Adam Conner-Simons | Rachel Gordon | CSAIL

 

 

Source: Detecting emotions with wireless signals | MIT News

 

 

 

 

 

Smartphone-Connected Contact Lenses Give New Meaning to ‘Eye Phone’

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Apps allow you to link your smartphone to anything from your shoes, to your jewelry, to your doorbell — and soon, you may be able to add your contact lenses to that list.

Engineers at the University of Washington have developed an innovative way of communicating that would allow medical aids such as contact lenses and brain implants to send signals to smartphones.

The new tech, called “interscatter communication,” works by converting Bluetooth signals into Wi-Fi signals, the engineers wrote in a paper that will be presented Aug. 22 at the Association for Computing Machinery’s Special Interest Group on Data Communication conference in Brazil. [Bionic Humans: Top 10 Technologies]

“Instead of generating Wi-Fi signals on your own, our technology creates Wi-Fi by using Bluetooth transmissions from nearby mobile devices such as smartwatches,” study co-author Vamsi Talla, a research associate in the Department of Computer Science and Engineering at the University of Washington, said in a statement.

Interscatter communication is based on an existing method of communication called backscatter, which lets devices exchange information by reflecting back existing signals. “Interscatter” works essentially the same way, but the difference is that it allows for inter-technology communication — in other words, it allows Bluetooth signals and Wi-Fi signals to talk to each other.

Interscatter communication would allow devices such as contact lenses to send data to other devices, according to the researchers. Until now, such communication had not been possible, because sending data using Wi-Fi requires too much power for a device like a contact lens.

To demonstrate interscatter communication, the engineers designed a contact lens equipped with a tiny antenna. The Bluetooth signal, in this case, came from a smartwatch. The antenna on the contact lens was able to manipulate that Bluetooth signal, encode data from the contact lens and convert it into a Wi-Fi signal that could be read by another device.

And though the concept of “smart” contact lenses may seem a bit gimmicky, they could, in fact, provide valuable medical information to patients.

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By Sara G. Miller

 

Source: Smartphone-Connected Contact Lenses Give New Meaning to ‘Eye Phone’