Title :
A modular and flexible system for activity recognition and smart home control based on nonobtrusive sensors
Author :
Kropf, J. ; Roedl, L. ; Hochgatterer, A.
Author_Institution :
Health & Environ. Dept., AIT Austrian Inst. of Technol. GmbH, Wiener Neustadt, Austria
Abstract :
This work describes a modular open source AAL framework for event recognition and smart home control. Various integrated tools simplify the configuration task, the personalization as well as the learning of activity models by a novel approach. Flexibility, standard compliant interfaces as well as the ability to transfer the system into new environments with little efforts have a strong focus. The paper describes the system architecture and the algorithms used.
Keywords :
graphical user interfaces; handicapped aids; home automation; learning (artificial intelligence); pattern recognition; public domain software; sensors; activity model learning; activity model personalization; activity recognition; event recognition; flexible system; modular open source AAL framework; nonobtrusive sensors; smart home control; standard compliant interfaces; system architecture; Hardware;
Conference_Titel :
Pervasive Computing Technologies for Healthcare (PervasiveHealth), 2012 6th International Conference on
Conference_Location :
San Diego, CA
Print_ISBN :
978-1-4673-1483-1
Electronic_ISBN :
978-1-936968-43-5
