TY - JOUR
T1 - An Ontology-Based Hybrid Approach to Activity Modeling for Smart Homes
AU - Chen, Liming (Luke)
AU - Nugent, CD
AU - Oketo, George
PY - 2014/2/28
Y1 - 2014/2/28
N2 - Activity models play a critical role for activity recognition and assistance in ambient assisted living. Existing approaches to activity modeling suffer from a number of problems, e.g., cold-start, model reusability, and incompleteness. In an effort to address these problems, we introduce an ontology-based hybrid approach to activity modeling that combines domain knowledge based model specification and data-driven model learning. Central to the approach is an iterative process that begins with “seed” activity models created by ontological engineering. The “seed” models are deployed, and subsequently evolved through incremental activity discovery and model update. While our previous work has detailed ontological activity modeling and activity recognition, this paper focuses on the systematic hybrid approach and associated methods and inference rules for learning new activities and user activity profiles. The approach has been implemented in a feature-rich assistive living system. Analysis of the experiments conducted has been undertaken in an effort to test and evaluate the activity learning algorithms and associated mechanisms.
AB - Activity models play a critical role for activity recognition and assistance in ambient assisted living. Existing approaches to activity modeling suffer from a number of problems, e.g., cold-start, model reusability, and incompleteness. In an effort to address these problems, we introduce an ontology-based hybrid approach to activity modeling that combines domain knowledge based model specification and data-driven model learning. Central to the approach is an iterative process that begins with “seed” activity models created by ontological engineering. The “seed” models are deployed, and subsequently evolved through incremental activity discovery and model update. While our previous work has detailed ontological activity modeling and activity recognition, this paper focuses on the systematic hybrid approach and associated methods and inference rules for learning new activities and user activity profiles. The approach has been implemented in a feature-rich assistive living system. Analysis of the experiments conducted has been undertaken in an effort to test and evaluate the activity learning algorithms and associated mechanisms.
KW - Activity model learning
KW - Activity Recognition
KW - Ontology
KW - semantic reasoning
KW - smart homes
UR - https://pure.ulster.ac.uk/en/publications/an-ontology-based-hybrid-approach-to-activity-modeling-for-smart--3
U2 - 10.1109/THMS.2013.2293714
DO - 10.1109/THMS.2013.2293714
M3 - Article
VL - 44
SP - 92
EP - 105
JO - IEEE Transactions on Human-Machine Systems
JF - IEEE Transactions on Human-Machine Systems
SN - 2168-2291
IS - 1
ER -