Computer assisted functionalities and services have saturated our world becoming such an integral part of our daily activities that we hardly notice them. In this study we are focusing on enhancements in Human-Computer Interaction (HCI) that can be achieved by natural user recognition embedded in the employed interaction models. Natural identification among humans is mostly based on biometric characteristics representing what-we-are (face, body outlook, voice, etc.) and how-we-behave (gait, gestures, posture, etc.) Following this observation, we investigate different approaches and methods for adapting existing biometric identification methods and technologies to the needs of evolving natural human computer interfaces.
A human computer interactions framework for biometric user identification / Kanev, KAMEN DIMITROV; DE MARSICO, Maria; Bottoni, Paolo Gaspare. - ELETTRONICO. - 4:(2016). (Intervento presentato al convegno 14th Int. Conf. on Global Research and Education, Inter-Academia 2015 tenutosi a Hamamatsu; Japan) [10.7567/JJAPCP.4.011601].
A human computer interactions framework for biometric user identification
KANEV, KAMEN DIMITROV;DE MARSICO, Maria;BOTTONI, Paolo Gaspare
2016
Abstract
Computer assisted functionalities and services have saturated our world becoming such an integral part of our daily activities that we hardly notice them. In this study we are focusing on enhancements in Human-Computer Interaction (HCI) that can be achieved by natural user recognition embedded in the employed interaction models. Natural identification among humans is mostly based on biometric characteristics representing what-we-are (face, body outlook, voice, etc.) and how-we-behave (gait, gestures, posture, etc.) Following this observation, we investigate different approaches and methods for adapting existing biometric identification methods and technologies to the needs of evolving natural human computer interfaces.File | Dimensione | Formato | |
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