In this paper we describe ARAMIS a novel hybrid approach aiming to enhance the human smart-environment interaction. We define this approach as hybrid since it is the combination of three different dichotomies: wearable and pervasive computing paradigms, virtual and real worlds, optical and non-optical sensing technologies. In order to validate the proposed approach we have designed a multimodal framework, in which gestures have been chosen as the main interaction modality. The framework design aims firstly to efficiently manage and merge information from heterogeneous, distributed sensors and secondly to offer a simple tool to connect together such devices. Finally a prototype has been developed in order to test and evaluate the proposed approach. © 2011 Springer-Verlag.
CITATION STYLE
Carrino, S., Mugellini, E., Abou Khaled, O., & Ingold, R. (2011). ARAMIS: Toward a hybrid approach for human-environment interaction. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 6763 LNCS, pp. 165–174). https://doi.org/10.1007/978-3-642-21616-9_19
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