The scientist’s investigation covers issues in Artificial intelligence, Home automation, Activity recognition, Human–computer interaction and Context. The study incorporates disciplines such as Smart environment, Machine learning, Systems architecture and Pattern recognition in addition to Artificial intelligence. He has researched Home automation in several fields, including Computer security, XML, Health professionals and Quality of life.
Many of his studies on Activity recognition involve topics that are commonly interrelated, such as Data science. His biological study spans a wide range of topics, including Self-management, Decision support system, Physical medicine and rehabilitation and Activities of daily living. The various areas that Chris D. Nugent examines in his Context study include Ubiquitous computing, Artificial neural network and World Wide Web.
His primary areas of investigation include Artificial intelligence, Activity recognition, Human–computer interaction, Machine learning and Home automation. He interconnects Computer vision and Pattern recognition in the investigation of issues within Artificial intelligence. His Activity recognition research incorporates themes from Smart environment, Data mining, Data science, Sensor fusion and Process.
His Human–computer interaction research incorporates elements of Context, Multimedia, Cognition and Activities of daily living. His Context study often links to related topics such as Knowledge management.
His primary areas of study are Activity recognition, Artificial intelligence, Machine learning, Classifier and Pattern recognition. His research in Activity recognition intersects with topics in Context, Wearable technology, Wearable computer, Activities of daily living and Sensor fusion. His research links Smart environment with Artificial intelligence.
His Smart environment course of study focuses on Home automation and Decision tree and Cognition. His Machine learning research includes themes of Ontology and Identification. His Classifier research includes elements of Data modeling, Dementia and Personalization.
Chris D. Nugent spends much of his time researching Artificial intelligence, Activity recognition, Pattern recognition, Classifier and Machine learning. His study looks at the relationship between Artificial intelligence and topics such as Wearable technology, which overlap with Feature selection and Data-driven. His Activity recognition research is multidisciplinary, incorporating perspectives in Ubiquitous computing, Home automation, Wearable computer, Data quality and Data science.
His work in Home automation tackles topics such as Usability which are related to areas like Process and Data collection. Chris D. Nugent has included themes like Random forest and Imbalance problems in his Pattern recognition study. His Machine learning study integrates concerns from other disciplines, such as Smart environment, Context, Activities of daily living, Popularity and Brain activity and meditation.
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Sensor-Based Activity Recognition
Liming Chen;J. Hoey;C. D. Nugent;D. J. Cook.
systems man and cybernetics (2012)
A Knowledge-Driven Approach to Activity Recognition in Smart Homes
Liming Chen;C. D. Nugent;Hui Wang.
IEEE Transactions on Knowledge and Data Engineering (2012)
Optimal Placement of Accelerometers for the Detection of Everyday Activities
Ian Cleland;Basel Kikhia;Chris D. Nugent;Andrey Boytsov.
Review of ICT-based services for identified unmet needs in people with dementia
S. Lauriks;A. Reinersmann;H.G. van der Roest;F.J.M. Meiland.
Supporting people with dementia using pervasive health technologies (2010)
Review of ICT-Based Services for Identified Unmet Needs in People with Dementia
S. Lauriks;A. Reinersmann;H.G. Van der Roest;F.J.M. Meiland.
Ageing Research Reviews (2007)
Ontology‐based activity recognition in intelligent pervasive environments
Liming Chen;Chris D. Nugent.
International Journal of Web Information Systems (2009)
Evidential fusion of sensor data for activity recognition in smart homes
Xin Hong;Chris Nugent;Maurice Mulvenna;Sally McClean.
Pervasive and Mobile Computing (2009)
Smart home technologies for health and social care support
Suzanne Martin;Greg Kelly;W George Kernohan;Bernadette McCreight.
Cochrane Database of Systematic Reviews (2008)
Using computer, mobile and wearable technology enhanced interventions to reduce sedentary behaviour: a systematic review and meta-analysis.
Aoife Stephenson;Suzanne M. McDonough;Suzanne M. McDonough;Marie H. Murphy;Chris D. Nugent.
International Journal of Behavioral Nutrition and Physical Activity (2017)
An Ontology-Based Hybrid Approach to Activity Modeling for Smart Homes
Liming Chen;Chris Nugent;George Okeyo.
IEEE Transactions on Human-Machine Systems (2014)
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