An ontology-based approach to ADL recognition in smart homes

• We model the system architecture for RADL (Recognizing Activities of Daily Living).
• We design and implement the OWL-based ontology for RADL.
• We examine the rule reasoning for activity and service AmIApplications.
• The OWL-based ontology for RADL is verified and evaluated.
• RADL will improve the quality of life of elderly and disabled people.

This paper presents a method for recognition of Activities of Daily Living (ADL) in smart homes. Recognition of activities of daily living and tracking them can provide unprecedented opportunities for health monitoring and assisted living applications, especially for elderly people and people with memory deficits. This paper presents Recognizing Activities of Daily Living (RADL) by discovering and monitoring patterns of ADLs in sensor equipped smart homes. The RADL is composed of two components: smart home management monitoring and ADL pattern monitoring. This paper studies the ontology base and the reasoning that are the main parts of ADL pattern monitoring. The ontology for RADL is designed and the prototype system of RADL is implemented using Protégé and Jess tools. Also, the ontology for RADL is verified by OntoCheck in automatic mode and evaluated by a metric-based approach in manual mode.