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 WORLD-INFOSTRUCTURE > BIOMETRICS > BIOMETRICS APPLICATIONS: GATE ...
  Biometrics applications: gate keeping


Identity has to do with "place". In less mobile societies, the place where a person finds him/herself tells us something about his/her identity. In pre-industrial times, gatekeepers had the function to control access of people to particular places, i.e. the gatekeepers function was to identify people and then decide whether somebody's identity would allow that person to physically occupy another place - a town, a building, a vehicle, etc.

In modern societies, the unambiguous nature of place has been weakened. There is a great amount of physical mobility, and ever since the emergence and spread of electronic communication technologies there has been a "virtualisation" of places in what today we call "virtual space" (unlike place, space has been a virtual reality from the beginning, a mathematical formula) The question as to who one is no longer coupled to the physical abode. Highly mobile and virtualised social contexts require a new generation of gatekeepers which biometric technology aims to provide.




browse Report:
Biometrics
    Identity vs. Identification
 ...
-3   Voice recognition
-2   Gait recognition
-1   Other biometric technologies
0   Biometrics applications: gate keeping
+1   Biometrics applications: physical access
+2   Biometrics applications: access to rights
+3   Biometric applications: surveillance
+4   Biometrics applications: privacy issues
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Expert system
Expert systems are advanced computer programs that mimic the knowledge and reasoning capabilities of an expert in a particular discipline. Their creators strive to clone the expertise of one or several human specialists to develop a tool that can be used by the layman to solve difficult or ambiguous problems. Expert systems differ from conventional computer programs as they combine facts with rules that state relations between the facts to achieve a crude form of reasoning analogous to artificial intelligence. The three main elements of expert systems are: (1) an interface which allows interaction between the system and the user, (2) a database (also called the knowledge base) which consists of axioms and rules, and (3) the inference engine, a computer program that executes the inference-making process. The disadvantage of rule-based expert systems is that they cannot handle unanticipated events, as every condition that may be encountered must be described by a rule. They also remain limited to narrow problem domains such as troubleshooting malfunctioning equipment or medical image interpretation, but still have the advantage of being much lower in costs compared with paying an expert or a team of specialists.