Multi-modal context-awareness for ambient intelligence environments

Georgios Galatas, F. Makedon
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Abstract

Context-awareness constitutes a fundamental attribute of a smart environment. Our research aims at advancing the context-awareness capabilities of ambient intelligence environments by combining multi-modal information from both stationary and moving sensors. The collected data enables us to perform person identification and 3-D localization and recognize activities. In addition, we explore closed-loop feedback by integrating autonomous robots interacting with the users.
面向环境智能环境的多模态上下文感知
上下文感知构成了智能环境的基本属性。我们的研究旨在通过结合来自静止和移动传感器的多模态信息来提高环境智能环境的上下文感知能力。收集的数据使我们能够进行人员识别和三维定位并识别活动。此外,我们通过集成与用户交互的自主机器人来探索闭环反馈。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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