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Come comment on this article: Google Pixel 3 is the best scoring single lens Android phones from DxOMark
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We will be holding a small event during CES in Las Vegas and we want to see you! We’re looking to meet some cool hardware and crypto startups so the good folks at Work In Progress have opened up their space to us and 200 of you all to hold a meetup and pitch-off.
The event will be held at Work In Progress, 317 South 6th Street on Wed, January 9, 2019 between 6:00 PM – 9:00 PM PST.
There are only 200 tickets so if you want to come please pick one up ASAP. The meetup is open to everyone so head over if you’d like to talk tech. You can pick up a ticket here.
If you’d like to pitch at the event I’ll be picking ten companies who will have three minutes to pitch without slides. Since this is a hardware event I recommend bringing a few of your items to show off. If you’d like to pitch, fill this out and I will contact those who will be coming up on stage.
See you in the Big Easy!
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IBM today announced that it has developed a small sensor that sits on a person’s fingernail to help monitor the effectiveness of drugs used to combat the symptoms of Parkinson’s and other diseases. Together with the custom software that analyzes the data, the sensor measures how the nail warps as the user grips something. Because virtually any activity involves gripping objects, that creates a lot of data for the software to analyze.
Another way to get this data would be to attach a sensor to the skin and capture motion, as well as the health of muscles and nerves that way. The team notes that skin-based sensors can cause plenty of other problems, including infections, so it decided to look at using data from how a person’s fingernails bend instead.
For the most part, though, fingernails don’t bend all that much, so the sensor had to be rather sensitive. “It turns out that our fingernails deform — bend and move — in stereotypic ways when we use them for gripping, grasping, and even flexing and extending our fingers,” the researchers explain. “This deformation is usually on the order of single digit microns and not visible to the naked eye. However, it can easily detect with strain gauge sensors. For context, a typical human hair is between 50 and 100 microns across and a red blood cell is usually less than 10 microns across.”
In its current version, the researchers glue the prototype to the nail. Because fingernails are pretty tough, there’s very little risk in doing so, especially when compared to a sensor that would sit on the skin. The sensor then talks to a smartwatch that runs machine learning models to detect tremors and other symptoms of Parkinson’s disease. That model can detect what a wearer is doing (opening a doorknob, using a screwdriver, etc.). The data and the model are accurate enough to track when wearers write digits with their fingers.
Over time, the team hopes that it can extend this prototype and the models that analyze the data to recognize other diseases as well. There’s no word on when this sensor could make it onto the market, though.
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