Browsing by Author "Gennaro, Claudio"
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Item A Benchmark Dataset for Human Activity Recognition and Ambient Assisted Living(Springer International Publishing, 2016) Amato, Giuseppe; Bacciu, Davide; Chessa, Stefano; Dragone, Mauro; Gallicchio, Claudio; Gennaro, Claudio; Lozano, Hector; Micheli, Alessio; O´HARE, Gregory M.; Renteria, Arantxa; Vairo, Claudio; O’Hare, Gregory M.P.; De Paz, Juan F.; Yoe, Hyun; Villarrubia, Gabriel; Novais, Paulo; Lindgren, Helena; Fernández-Caballero, Antonio; Ramírez, Andres Jiménez; Medical Technologies; Robótica MédicaWe present a data benchmark for the assessment of human activity recognition solutions, collected as part of the EU FP7 RUBICON project, and available to the scientific community. The dataset provides fully annotated data pertaining to numerous user activities and comprises synchronized data streams collected from a highly sensor-rich home environment. A baseline activity recognition performance obtained through an Echo State Network approach is provided along with the dataset.Item A cognitive robotic ecology approach to self-configuring and evolving AAL systems(2015-10-01) Dragone, Mauro; Amato, Giuseppe; Bacciu, Davide; Chessa, Stefano; Coleman, Sonya; Di Rocco, Maurizio; Gallicchio, Claudio; Gennaro, Claudio; Lozano, Hector; Maguire, Liam; McGinnity, Martin; Micheli, Alessio; O׳Hare, Gregory M.P.; Renteria, Arantxa; Saffiotti, Alessandro; Vairo, Claudio; Vance, P.; O'Hare, Gregory M.P.; Medical Technologies; Robótica MédicaRobotic ecologies are systems made out of several robotic devices, including mobile robots, wireless sensors and effectors embedded in everyday environments, where they cooperate to achieve complex tasks. This paper demonstrates how endowing robotic ecologies with information processing algorithms such as perception, learning, planning, and novelty detection can make these systems able to deliver modular, flexible, manageable and dependable Ambient Assisted Living (AAL) solutions. Specifically, we show how the integrated and self-organising cognitive solutions implemented within the EU project RUBICON (Robotic UBIquitous Cognitive Network) can reduce the need of costly pre-programming and maintenance of robotic ecologies. We illustrate how these solutions can be harnessed to (i) deliver a range of assistive services by coordinating the sensing & acting capabilities of heterogeneous devices, (ii) adapt and tune the overall behaviour of the ecology to the preferences and behaviour of its inhabitants, and also (iii) deal with novel events, due to the occurrence of new user's activities and changing user's habits.