Improving Activity Recognition in Smart Environments with Ontological Modeling

Analytical Review on Ontological Human Activity Recognition Approaches

“…Using transfer learning helps avoid a new ontology for smart homes activity recognition. However, using this method does not provide a method for integrating other semantic knowledge into the process of activity recognition (Wemlinger & Holder, 2014). Challenges of ontology-based human activity recognition in field of Activity Models characteristics are shown in Figure 12.…”

“…Ontology development is a formal process of collaborative knowledge acquisition and modeling by domain experts (Chen, Nugent, Mulvenna et al, 2009). Due to the fact that ontology-based approaches are based on expert systems which include activity models as a set of logical constraints, data extraction from a good enough environment for a logic-based system for implementation and development is difficult and costly (Wemlinger & Holder, 2014).…”

“…Semantic Smart Homes (SSH) provide strong capacity to create and manage large-scale semantic information along with intelligent high-level abilities based on ontological approaches to modeling data for entities, including inhabitants, their activities, environments, devices and services (Chen, Nugent, Mulvenna et al, 2009). Particularly, smart homes are used as appropriate tools to provide monitoring of daily activities and cognitive assessment, especially for the elderly (Wemlinger & Holder, 2014). These models must be able to recognize the condition of users and their activities effectively and accurately (Wemlinger & Holder, 2014).…”

“…Particularly, smart homes are used as appropriate tools to provide monitoring of daily activities and cognitive assessment, especially for the elderly (Wemlinger & Holder, 2014). These models must be able to recognize the condition of users and their activities effectively and accurately (Wemlinger & Holder, 2014).…”