L
Liming Chen
Researcher at Ulster University
Publications - 242
Citations - 5482
Liming Chen is an academic researcher from Ulster University. The author has contributed to research in topics: Activity recognition & Ontology (information science). The author has an hindex of 28, co-authored 220 publications receiving 4411 citations. Previous affiliations of Liming Chen include De Montfort University & University of Science and Technology Beijing.
Papers
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Journal ArticleDOI
Sensor-Based Activity Recognition
TL;DR: A comprehensive survey to examine the development and current status of various aspects of sensor-based activity recognition, making a primary distinction in this paper between data-driven and knowledge-driven approaches.
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A Knowledge-Driven Approach to Activity Recognition in Smart Homes
TL;DR: This paper presents a generic system architecture for the proposed knowledge-driven approach to real-time, continuous activity recognition based on multisensor data streams in smart homes, and describes the underlying ontology-based recognition process.
Journal ArticleDOI
Ontology‐based activity recognition in intelligent pervasive environments
Liming Chen,Chris D. Nugent +1 more
TL;DR: A novel approach to activity recognition based on the use of ontological modeling, representation and reasoning, aiming to consolidate and improve existing approaches in terms of scalability, applicability and easy‐of‐use is introduced.
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Dynamic sensor data segmentation for real-time knowledge-driven activity recognition
TL;DR: A novel approach to real-time sensor data segmentation for continuous activity recognition based on the notion of varied time windows, which can shrink and expand the segmentation window size by using temporal information of sensor data and activities as well as the state of activity recognition.
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An Ontology-Based Hybrid Approach to Activity Modeling for Smart Homes
TL;DR: An ontology-based hybrid approach to activity modeling that combines domain knowledge based model specification and data-driven model learning is introduced that has been implemented in a feature-rich assistive living system.