Human as a Packet of Data – 1

This is a series of posts on a concept I have been mulling over for more than a year: Our body is a walking, talking parcel of data. We have given away our iris pattern, facial geometry and fingerprints to the Aadhar repository to enable ourselves to get identified easily. Using the unique identity bestowed upon us by our Aadhar card, we can access so many services pretty seamlessly: Your Aadhar number enables you to get a passport, bank account, check-in for a journey, transfer money, get a covid-vaccine shot and so many other things

So, through your iris pattern, facial geometry and fingerprint a lot of data about you is accessible. This data is selectively picked up for various transactions you want to initiate. The data is securely encrypted using the highest standards of cyber security.

Since the human body provides access to multiple data points, I say the Human Body is a Packet of Data.

If various unique physical characteristics of the human body can help access multiple data points then it’s worth examining how these technologies (identifying humans through multiple physical characteristics

In this series, I’ll be exploring the following:

·????? How can this create seamless user experiences?

·????? How can security be heightened and data theft be eliminated, using the human body’s unique physical characteristics

‘Each of us is unique’ is an oft-repeated cliché but it can be proven in multiple ways.

How?

Let’s begin with old methods of identifying individuals based on their unique physical characteristics (one may refer to them as ‘biometrics’:

1.???? Fingerprints

2.???? Iris patterns

3.???? Retina scan

4.???? Facial contours – even twins are not similar

These biometrics have been used extensively over the last few decades to identify YOU as YOU. However, all of these need interfaces/devices to carry out the authentication process.

-?????? For Fingerprint recognition: You have to place your finger on a glass surface (infection spread guaranteed ?) in a fingerprint scanner

-?????? For Iris Pattern recognition: You have to look into a device for a few moments before it recognizes YOU as YOU.

-?????? Retina scanning – same as for Iris Pattern recognition.

-?????? Facial contours: You have to peer into a camera and spend a few seconds before you are recognised.

All of these require standing in front of the scanning and waiting for a few moments to be recognized, which means, the user experience is not seamless.

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?“THE ULTIMATE USER EXPERIENCE IS ONE WHERE THERE IS NO INTERFACE AT ALL & THE PROCESSING TIME IS ZERO”

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Are there any unique physical characteristics that identify you on the go without the incumbent waiting time? Yes, there are:

-?????? Gait Recognition: Each of us has a unique style of walking, i.e., gait. Coupled with body shape, a person’s gait is as unique as iris/retina/face/fingerprint.

-?????? The shape of the ears: The complex patterns of ridges and furrows formed by the cartilage of your outer ears are remarkably unique to you. Hence, if a sound is directed at your ear, it reflects the waves from the ridges & furrows of the outer ear. Since the ridges & furrows are unique to each one of us, the wave patterns too are different for and unique to every individual. Thus helping identify each one of us distinctly.

Both the above characteristics can be determined while the individual is moving. Hence, no waiting for precious seconds trying to get identified, leading to a SEAMLESS USER EXPERIENCE.

Imagine walking through an airport turnstile without having to stand in front of a kiosk with a camera, waiting to get identified. Check-in for a flight as you walk past an unobtrusive camera that recognises your walking patterns and a sonar device that identifies you through the waves reflected from the unique ridges and furrows of your outer ear.

Encouraging readers to list out more applications ??