False Match Rate

The False Match Rate or FMR is very similar to a False Accept Rate (FAR). Both are measurements of the error potential in biometric systems. These are systems that use biological data from the human body as direct inputs for control interface or identification of individuals. By its very nature biometric data is organic in origin, and organic data is subject to considerable variance between both individuals and sessions.

The difference between FMR and FAR is subtle, but important. FAR is a measurement of the accuracy of the data being checked. A high FAR indicates that there is a wide margin for error in the data being checked, such that whilst it is possible to pick up all variations an individual might use – differences in their gait for example – opening the net that far may incorrectly identify other individuals as being that person.

On the other hand, narrowing the margin for error too much, will effectively lock out an authorised person who maybe has a sore ankle that day, and is walking slightly differently.

FMR however, is a measure of something slightly worse than a false accept. Whilst a false accept is 'not quite right, but close enough', a false match means exactly that. One command has been misconstrued completely as another command, by the system. Such mistakes are impossible to identify directly by the interface, as the computers are absolutely convinced they had the biometric spot on.

With security this is bad, as it means the system has 100% identified one individual as someone completely different. With interfaces this is arguably just as bad, as it could completely misinterpret a sequence of nerve pulses meaning 'straighten the leg' for ones saying 'relax the muscles'. That's inconvenient in a VR environment, but potentially painful in a prosthetic limb using the same control interface.

Thus, whilst it is arguably acceptable for a biometric system to have a moderately high FAR, FMR rates must be as low as they can possibly be, for a system to be considered viable.

See Also: Biometric, Biometrics, Neural Code, False Accept Rate, FAR, False Reject Rate, False Non-Match Rate, EMG

Below, we offer a selection of links from our resource databases which may match this term.

Biometric Biometric Interface Biometrics False Accept Rate False Match Rate False Non-Match Rate

False Reject Rate FAR FMR FNMR

FRR

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Japanese Telecomm Predicts Fully Immersive Mainstream VR by 2020
With the expansion rate of Japan's wireless networks in terms of both bandwidth and decreasing cost, coupled with the rate of development of mobile phones into computing platforms in their own right, NTT DoCoMo, Japan's largest mobile phone carrier service believe that this estimate is about right.

Instantaneous Visual Virtual Face
One of the major issues with any virtual form, is facial expression. Traditionally, getting a virtual face to match your physical intent for expression in real-time, was a lost cause. Even for big budget film making, CG overlays had to be constructed frame by frame by hand. Enormously time consuming, ludicrously expensive and completely useless for real-time usage.

DiveIn is a little bit of an oddity. Well, it would be, if the company that makes it, did not churn out similar worlds at a rate of knots.

VR Interfaces: VivoMetric LifeShirt

The LifeShirt is a garment (not necessarily a shirt) developed by VivoMetrics, which monitors tyhe wearer's vital signs. Collecting a continuous stream of respiration flow, heart rate, breathing regularity, sweat production and other key metrics.

VR Interfaces: Trazer

The Trazer by Cybex Incorporated. Billed as a virtual reality exercise machine, this $6,495 USD (?3,300) machine tracks an infrared belt worn by the exerciser, and uses changes in the position of that, and senses of increase or decrease in heat rate, to determine how much they are exercising.

VR Interfaces: Nvidea GeForce 3D Vision

At CES 2009, Nvidea unveiled a system of active glasses. Specifically, shutter glasses. The frames alternate polarisation to block light out every second frame, so that each eye gets half the screen update rate of any normal monitor, but will work with a normal output stream just fine.

Resource List: Haptic Prosthetic Development

The dream of a prosthetic limb that touches and feels like a natural limb, is still some ways away. A natural arm or leg processes sensory data at a rate we just do not have the bandwidth to recreate, much less tie into the human nervous system. That said however, significant progress has already been made, and development continues at a rapidly accelerating pace.

Are We Spiritual Machines?: Ray Kurzweil vs. the Critics of Strong A.I.

Computers are becoming more powerful at an ever-increasing rate, but will they ever become conscious? Artificial intelligence guru Ray Kurzweil thinks so and explains how we will upload our minds and upgrade our bodies to become immortal before the dawn of the 22nd century. In this debate with his critics, including several Discovery Institute Fellows, Kurzweil defends his views and sets the stage for the central question: "What does it mean to be human?"

A Camera that Detects Vital Signs
Originally designed with Olympic events in mind, the INCA camera is a tiny recording device that is also perhaps the first SimStim device in existence. It is capable of interfacing with any body area network to record metadata of temperature, heart rate, breathing, potentially even mood of the subject on screen, and transferring that data directly onto the video file itself, as additional data.

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