Home // ACHI 2013, The Sixth International Conference on Advances in Computer-Human Interactions // View article
Authors:
Ismael Duque
Kerstin Dautenhahn
Kheng Lee Koay
Ian Willcock
Bruce Christianson
Keywords: Activity Recognition; Smart Houses; Context-Aware
Abstract:
Our core interest is the development of autonomous and socially interactive robots that may support elderly users at home as part of a smart home, i.e. a home equipped with a sensor network that may detect activities of daily living such as preparing food in the kitchen, having meal in the living room, watching the television, etc. The current paper focuses on showing the design and implementation of a low-cost, resource-efficient activity recognition system that can detect user activities without the necessity of collecting a large dataset to train the system. Based on common-sense knowledge from activities of daily living, we generated a set of rules for defining user's activities in a home setting. These rules can be edited and adapted easily in order to accommodate different environments and daily life routines. The approach has been validated empirically with a pilot study in the University of Hertfordshire Robot House. The paper presents results from a study with 14 participants performing different daily life activities in the house. The results are promising, and future work will include the integration of this system in a Smart House used for Human-Robot Interaction studies. This may help develop context-aware robot companions capable of making better decisions to support users in their daily activities.
Pages: 141 to 146
Copyright: Copyright (c) IARIA, 2013
Publication date: February 24, 2013
Published in: conference
ISSN: 2308-4138
ISBN: 978-1-61208-250-9
Location: Nice, France
Dates: from February 24, 2013 to March 1, 2013