Use this url to cite publication: https://hdl.handle.net/20.500.14911/143517
Development and integration of intelligent, voice stress analysis and IRIS recognition technologies in construction
Publication Type (CRIS)
Straipsnis recenzuojamoje užsienio tarptautinės konferencijos medžiagoje / Article in peer-reviewed foreign international conference proceedings (P1d)
Publication Type (eLABa)
Straipsnis recenzuotame konferencijos darbų leidinyje / Article published in peer-reviewed conference proceedings (P1d)
Title [en]
Development and integration of intelligent, voice stress analysis and IRIS recognition technologies in construction
Edmundas Kazimieras Zavadskas, Artūras Kaklauskas
Is part of
24th International Symposium on Automation & Robotics in Construction (ISARC 2007) 19 – 21 Sep 2007 Le Meridien Resort & Convention Center, Kochi, Kerala, India / Indian Institute of Technology Madras, International Association for Automation and Robotics in Construction
Published In
| Year | Start Page | End Page |
|---|---|---|
2007 | 467 | 472 |
Publisher
Kerakla
Extent
p. 467-472
Science / Art Area
Technologijos mokslai / Technological sciences (T)
Field of Science / Art
Statybos inžinerija / Civil engineering (T002)
Abstract (en)
Intelligent systems (neural networks, expert, knowledge, decision support and other systems) in construction can be used on the national, organization and project levels. However, most of all neural networks, knowledge, decision support and expert systems are seeking to find how to make the most economic construction decisions, and most of all these decisions are intended only for economic objectives. Also currently voice stress analysis, digital physiognomy and IRIS recognition technologies are very seldom used in construction. Development and integration of some intelligent, voice stress analysis and IRIS recognition technologies in construction by Vilnius Gediminas Technical University since 1984 are described in the paper.
Resource Type (COAR)
TextConference outputConference proceedingsConference paper
Language
Anglų / English (en)
Country
Indija / India (IN)
Owning collection
eLABa ID
3784053