Survey on biometry for cognitive automotive systems |
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Affiliation: | 1. Wolverhampton Cyber Research Institute (WCRI), School of Mathematics and Computer Science, University of Wolverhampton, WV1 1LY West Midlands, United Kingdom;2. Warwick Manufacturing Group (WMG), University of Warwick, International Manufacturing Centre, CV4 7AL Coventry, United Kingdom;3. School of Computing, Mathematics and Digital Technology, Manchester Metropolitan University, M15 6BH Manchester, United Kingdom;4. Northumbria University London Campus, E1 7HT London, United Kingdom |
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Abstract: | A survey on biometry for cognitive automotive systems is presented in this paper, specially those biometric systems used for high tech security access, law enforcement and/or commercial transactions. In general, biometric systems can be expensive due to the amount of sensors and processing resources involved. Efforts have been made to integrate these systems to vehicles mostly for security purposes and user authentication. Until now, most of the systems do not go beyond using facial and fingerprint data to start the engine or access the car; however, new generations demand more personalization plus the vehicle making decisions based on their physiological characteristics. Although this kind of technology is considered a luxury feature in general, actually it could help users and save their lives. Indeed, biometry is the way to make the human-vehicle relationship happen, whether the biometric devices are embedded inside the vehicle, used as an accessory or wearables. By using as input not only the sensors inside the vehicle but also data from outside, the vehicle could adapt and/or learn new information to make the best possible decision. |
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Keywords: | Biometry Biometrics Cognitive Autonomous Intelligent vehicles Automotive systems |
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