Guest editorial introduction to the special issue on biometric interfaces between ambient intelligence and augmented cognition

• Published in: Journal of ambient intelligence and humanized computing Vol. 2; no. 2; pp. 71 - 72
• Main Authors: Nappi, M., Wechsler, H.
• Format: Journal Article
• Language: English
• Published: Berlin/Heidelberg Springer-Verlag 01.06.2011; Springer Nature B.V
• Subjects: Ambient intelligence; Artificial Intelligence; Biometrics; Cognition; Cognition & reasoning; Collaboration; Communication; Computational Intelligence; Crosstalk; Data integration; Editorial; Engineering; Human subjects; Intelligence; Multiresolution analysis; Older people; Privacy; Robotics and Automation; Social networks; Surveillance; User Interfaces and Human Computer Interaction; Wavelet analysis
• ISSN: 1868-5137; 1868-5145
• DOI: 10.1007/s12652-010-0036-9

Human authentication in ambient intelligence should preferably not be bound to voluntary or conscious user’s interactions with recognition equipment, but rather it should rely on the ability of an underlying control system to automatically and autonomously capture user’s characteristics and use them for identification, verification, and/or surveillance. Augmented cognition provides the upper management layer needed to (a) make appropriate choices for bandwidth, context, and specific functionality; (b) adapt, prioritize and coordinate; (c) reduce the effects of cross-talk (“modal”) interference; and (d) handle in a flexible way time-varying inputs. The paper “Image Watermarking via Wavelet Approach and Face Biometrics”, by G. Iovane, P. Giordano, S. D. Borysenko, presents a new high-performance system for tracking the access to a file and for establishing the copy rights by using information fusion (IF) techniques based on face biometrics (FB) and wavelet multiresolution analysis (WMA).