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Check-Up with 30 Seconds Selfie

Check-Up with 30 Seconds Selfie

Researchers from the University of Toronto have introduced an app where you can take a self-check-up for just 30 seconds. According to researchers, a selfie says a lot about your health.

Smartphones have been in our lives for more than 10 years and we’re used to getting things done with these devices. In addition to calling someone and texting, we do many things using our smart phones, such as accessing the internet, taking photos, watching movies and playing games. Can we also use our smartphones for health services? Apparently yes in the near future.

Researchers from the University of Toronto have developed an app that allows you to check-up for 30 seconds of selfie. The application shares much more information than expected. Cardiovascular disease risk, blood pressure, risk of heart attack, the danger of paralysis and more data on your face can read and display on your face.

Anura’s application scans the face using deep learning technologies. The application can diagnose more than 20 subjects, using a system called transfermal optical imaging. Basically, our skin is transmitting light and the application uses this state to observe the health status. Anura essentially uses the same features as 3D face recognition, but it does so deeply in the true sense of the word.

Researchers say that the light that comes back from our skin to the phone strikes two types of proteins, which are melanin and hemoglobin, and that the phones can distinguish this data.

The right beam is important for the right results

Check-Up with 30 Seconds Selfie

The researchers explained how the system works in the heat map-like human face photo they showed when sharing information about the application algorithm. Brighter colors mean higher material density. The application uses this data for analysis.

In each assessment, the same data is handled differently. According to the observation, a different result emerges in every subject. The calculation models that achieve these results have been specially developed.

In order to get the most accurate data, the app arranges the camera camera, adjusts the white light level and makes changes taking into account the environment you are in.

Researchers say they have difficulty in transferring the results to a logical and easily understandable interface. The final design does not make the application simple or playful, but makes it available to non-experts.

Below is a simple version of the app that measures heart rhythm and stress level. Other measurements are expected to be added over time.



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