What’s in Your Shoe?












New lab working on Biometric Shoe security sole to ID people.



new lab is working to perfect special shoe insoles that can help monitor access to high-security areas, like nuclear power plants or special military bases. The concept is based on research that shows each person has unique feet, and ways of walking. Sensors in the bio-soles check the pressure of feet, monitor gait, and use a microcomputer to compare the patterns to a master file for that person. If the patterns match the bio-soles go to sleep. If they don’t, a wireless alarm message can go out.

A few years back I was writing five-hundred word pieces of fiction and selling them to ComputorEdge Magazine. Unfortunately, ad space was more valuable than fiction – it was fun while it lasted. When I saw the article today on biometric inner soles to be used to identify people in secure areas, well I wished that fiction option was still available.


My other thought was of  the series “Get Smart” and  bumbler  Maxwell Smart –
Yes, I know it was a long time ago in TV Land, so for those of you youngsters  who have no clue . . .



2 comments on “What’s in Your Shoe?

  1. The Iris Scan . . . fingerprints can be modified as can other identifying tattoos,scars etc. The age of biometrics is upon us.

    Iris recognition is an automated method of biometric identification that uses mathematical pattern-recognition techniques on video images of the irides of an individual’s eyes, whose complex random patterns are unique and can be seen from some distance.
    Not to be confused with another, less prevalent, ocular-based technology, retina scanning, iris recognition uses camera technology with subtle infrared illumination to acquire images of the detail-rich, intricate structures of the iris. Digital templates encoded from these patterns by mathematical and statistical algorithms allow unambiguous positive identification of an individual. Databases of enrolled templates are searched by matcher engines at speeds measured in the millions of templates per second per (single-core) CPU, and with infinitesimally small False Match rates.
    Many millions of persons in several countries around the world have been enrolled in iris recognition systems, for convenience purposes such as passport-free automated border-crossings, and some national ID systems based on this technology are being deployed. A key advantage of iris recognition, besides its speed of matching and its extreme resistance to False Matches, is the stability of the iris as an internal, protected, yet externally visible organ of the eye.
    In 1987 two Ophthalmology Professors, Leonard Flom, M.D.(NYU) and Aran Safir,M.D.(U.Conn), were issued a first of its kind, broad patent # 4,641,349 entitled “Iris Recognition Technology.” Subsequently, John Daugman,PhD (Harvard Computer Science faculty) was then salaried by both ophthalmologists to write the algorithm for their concept based upon an extensive series of high resolution iris photos supplied to him by Dr.Flom from his volunteer private patients. Several years later, Daugman received a method patent for the algorithm and a crudely constructed prototype proved the concept. The three individuals then founded “IridianTechnologies,Inc.” and assigned the Flom/Safir patent to that entity that was then capitalized by GE Capital, a branch of “GE”(General Electric) and other investors.
    “Iridian” then licensed several corporations to the exclusive Daugman algorithm under the protection of the Flom/Safir broad umbrella patent listed above; thus, preventing other algorithms from competing. Upon expiration of the Flom/Safir patent in 2008 other algorithms were patented and several were found to be superior to Daugman’s and are now being funded by U.S. Government agencies

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