Research Article
A modular and flexible system for activity recognition and smart home control based on nonobtrusive sensors
@INPROCEEDINGS{10.4108/icst.pervasivehealth.2012.248686, author={Johannes Kropf and Lukas Roedl and Andreas Hochgatterer}, title={A modular and flexible system for activity recognition and smart home control based on nonobtrusive sensors}, proceedings={Situation Recognition and Medical Data Analysis in Pervasive Health Environments}, publisher={IEEE}, proceedings_a={PERVASENSE}, year={2012}, month={7}, keywords={behavior pattern recognition middleware platform smart home automation ambient intelligence}, doi={10.4108/icst.pervasivehealth.2012.248686} }- Johannes Kropf
Lukas Roedl
Andreas Hochgatterer
Year: 2012
A modular and flexible system for activity recognition and smart home control based on nonobtrusive sensors
PERVASENSE
IEEE
DOI: 10.4108/icst.pervasivehealth.2012.248686
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.
Copyright © 2012–2024 ICST
