Mirror that detects a brain stroke based on your smile
Image credit: Zinkevych / Freepik
Darko SavicJan 02, 2022
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A mirror that diagnoses a stroke by checking if your smile looks abnormal. It recognizes your face via an embedded camera and checks historical data for changes in the symmetry of your smile.
Why?
Peoplemight not realize that they've had a minor brains stroke. They postpone seeking help until it's too late.
Smiling and seeing a smile make us happier.
How it works
Sudden asymmetry in a smile indicates that you can't use all your facial muscles as you normally would. It's a tell-tale sign of a brain stroke.
A mirror with an embedded display, a camera, and a computer.
Neural network-powered software recognizes different people and stores historical data for each individual. When it first encounters a new person, anything is considered normal - even strongly asymmetrical smiles. The first couple of times the software learns what a baseline smile looks like for each individual. Any deviation in subsequent smiles is considered an anomaly and could indicate a stroke.
When it detects your face it asks you to smile. A smiley face icon and the word "smile" appear in a corner of the mirror. If you don't smile, it keeps bugging you in until you do. "Come on. Just a quick smile...", "knock, knock" (proceeds to ask itself "who's there?"), etc.
When you smile, and there is no problem, it displays a thumb-up and "all ok".
If the software detects a sagging on one side of the face and your smile looks different to historic data, the mirror asks you to smile one more time. It tells you that a stroke is suspected and you should call your doctor immediately.
Optional further steps
Further tests could be performed although even the smile test is alarming enough. It The mirror could further instruct you to raise both arms symmetrically and to say a few simple sentences. If you fail these too, it could automatically call emegency for you unless you cancel within 10 seconds.
[1]Ma K, Sellaro R, Lippelt DP, Hommel B. Mood migration: How enfacing a smile makes you happier. Cognition. 2016 Jun;151:52-62. doi: 10.1016/j.cognition.2016.02.018. Epub 2016 Mar 10. PMID: 26970854.
These disease-detecting algorithms do exist, just not in a mirror form... yet! An algorithm for detecting stress, anxiety, and depression is already being tested.
With regard to strokes: "In early 2018, FDA approved an AI algorithm for use in a clinical decision support system for triage. Called Viz.AI Contact, it can analyze CT scans and detect stroke signs in medical images, making a preliminary diagnosis." It's not a mirror, but it's one step closer!
Very cool, these algorithms could potentially be built into any digital camera (including phones) as well, this way, people will constantly be monitored for signs of strokes or any of the abovementioned ailments.
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jnikola3 years ago
Spook Louw Darko Savic The idea is great, no matter the form (a mirror or a camera). The main advantage compared to Vered Ehsani's AI algorithm for clinical decision support would be the real-time detection and alert. Therefore, among the current algorithm solutions, I think what you should be looking for is a really fast algorithm, not necessarily the best one.
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General comments
Darryl Koh Yuan Jie3 years ago
Seems like the main goal is to make the user smile, I think jokes or even pickup lines are a great way to inject humour! Terrible puns or even genuine compliments can be deployed.
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Shubhankar Kulkarni3 years ago
Darryl Koh Yuan Jie Great! Yes, the mirror could display or tell you a joke. You could connect it with Alexa or Siri, etc. for that. And then, your smile gets analyzed.
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Darryl Koh Yuan Jie3 years ago
Shubhankar Kulkarni Ah Yes! I recently watched videos of such smart devices and was actually surprised by their level of intellect and humanization. Some of their jokes and puns actually got me cracking! I think the best jokes are done in person, through a voice(thats why standup comedy exist and not text comedy) and thus I definitely advocate for a mirror that speaks to the user through a voice.
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