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2019 | OriginalPaper | Buchkapitel

3. An Ontology-Based Approach to Activity Recognition

verfasst von : Liming Chen, Chris D. Nugent

Erschienen in: Human Activity Recognition and Behaviour Analysis

Verlag: Springer International Publishing

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Abstract

This chapter introduces an ontology-based knowledge-driven approach to real-time, continuous activity recognition based on multi-sensor data streams in the context of assisted living within smart homes. It first presents a generic system architecture for the proposed knowledge-driven approach and its underlying ontology-based activity recognition process. It then analyses the characteristics of smart homes and Activities of Daily Living (ADL) upon which both context and ADL ontologies are developed. Following this, the chapter describes algorithms for activity recognition based on semantic subsumption reasoning. Finally, an example case study is conducted using an implemented function-rich software system, which evaluates and demonstrates the proposed approach through extensive experiments involving a number of various ADL use scenarios.

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Metadaten
Titel
An Ontology-Based Approach to Activity Recognition
verfasst von
Liming Chen
Chris D. Nugent
Copyright-Jahr
2019
DOI
https://doi.org/10.1007/978-3-030-19408-6_3