Overview
Background
Dr Chelsea Dobbins is an Associate Professor within the School of Electrical Engineering and Computer Science (EECS) at The University of Queensland. Before relocating to Australia, Dr Dobbins was a full-time continuing Senior Lecturer within the Department of Computer Science at Liverpool John Moores University (LJMU) in the UK (2013-2018). She has a background in Software Engineering and expertise in Digital Signal Processing, Applied Machine Learning and Human-Computer Interaction. Her research focuses on the detection of emotion using smartphones/wearable sensors and personal informatics. This includes areas such as lifelogging, affective computing, pervasive computing, digital health, human computer interaction, machine learning, mobile computing, mobile/wearable sensors, human digital memories, signal processing, and physiological computing. Her research has been supported by the UK's Engineering and Physical Sciences Research Council (EPSRC) for work related to developing a mobile lifelogging platform to detect negative emotions during real-life driving. In 2016 she received an ACM Computing Review Notable Article award for work related to mining multivariate temporal smart mobile data.
Availability
- Associate Professor Chelsea Dobbins is:
- Available for supervision
Fields of research
Qualifications
- Bachelor (Honours) of Science (Advanced), Liverpool John Moores University
- Doctor of Philosophy, Liverpool John Moores University
Research interests
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Lifelogging
My overarching research focus is in the area of lifelogging, which feeds into multiple research interests listed below. I am interested in how aspects of our lives can be logged through the use of wearable sensors and mobile device data. This includes detecting emotion and mood using various signal processing and machine learning methods and applying this to psychology and digital health applications. I am also interested in how lifelogging data can be presented and visualized in a more meaningful manner to support HCI and provide a platform for self-reflection and self-improvement.
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Affective Computing
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Signal Processing
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Physiological Computing
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Human-Computer Interaction (HCI)
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Digital Health
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Mobile/Wearable Sensors
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Pervasive Computing
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Applied Machine Learning
Research impacts
Featured in Magazines
New Scientist ("Lifelogging: Even your home appliances could do it," Issue 2951) and Times Higher Education (issue 2137).
Media Coverage of Research Outputs
Case study featured on Shimmer's website.
Works
Search Professor Chelsea Dobbins’s works on UQ eSpace
2014
Conference Publication
The Big Data Obstacle of Lifelogging
Dobbins, Chelsea, Merabti, Madjid, Fergus, Paul and Llewellyn-Jones, David (2014). The Big Data Obstacle of Lifelogging. 28th IEEE International Conference on Advanced Information Networking and Applications Workshops (IEEE WAINA), Victoria Canada, May 13-16, 2014. Piscataway, NJ United States: IEEE. doi: 10.1109/WAINA.2014.142
2014
Conference Publication
Advance artificial neural network classification techniques using EHG for detecting preterm births
Idowu, Ibrahim Olatunji, Fergus, Paul, Hussain, Abir, Dobbins, Chelsea and Al-Askar, Haya (2014). Advance artificial neural network classification techniques using EHG for detecting preterm births. 8th International Conference on Complex, Intelligent and Software Intensive Systems, Birmingham, United Kingdom, 2-4 July 2014. New York, NY United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/CISIS.2014.14
2013
Journal Article
Prediction of Preterm Deliveries from EHG Signals Using Machine Learning
Fergus, Paul, Cheung, Pauline, Hussain, Abir, Al-Jumeily, Dhiya, Dobbins, Chelsea and Iram, Shamaila (2013). Prediction of Preterm Deliveries from EHG Signals Using Machine Learning. PL o S One, 8 (10) e77154, e77154. doi: 10.1371/journal.pone.0077154
2013
Journal Article
Exploiting linked data to create rich human digital memories
Dobbins, Chelsea, Merabti, Madjid, Fergus, Paul, Llewellyn-Jones, David and Bouhafs, Faycal (2013). Exploiting linked data to create rich human digital memories. Computer Communications, 36 (15-16), 1639-1656. doi: 10.1016/j.comcom.2013.06.008
2013
Journal Article
Monitoring and Reducing Sedentary Behavior in the Elderly with the Aid of Human Digital Memories
Dobbins, Chelsea, Fergus, Paul, Stratton, Gareth, Rosenberg, Michael and Merabti, Madjid (2013). Monitoring and Reducing Sedentary Behavior in the Elderly with the Aid of Human Digital Memories. Telemedicine and E-Health, 19 (3), 173-185. doi: 10.1089/tmj.2012.0129
2013
Conference Publication
A Machine Learning Algorithm for Searching Vectorised RDF Data
Hadi, Asaad Sabah, Fergus, Paul, Dobbins, Chelsea and Al-Bakry, Abbas Muhsin (2013). A Machine Learning Algorithm for Searching Vectorised RDF Data. IEEE 27th International Conference on Advanced Information Networking and Applications Workshops (WAINA), Barcelona Spain, 25-28 March 2013. Piscataway, NJ United States: IEEE. doi: 10.1109/WAINA.2013.204
2013
Conference Publication
Creating human digital memories for a richer recall of life experiences
Dobbins, Chelsea, Merabti, Madjid, Fergus, Paul and Llewellyn-Jones, David (2013). Creating human digital memories for a richer recall of life experiences. 2013 10th IEEE International Conference on Networking, Sensing and Control, Evry, France, 10-12 April 2013. Piscatawa, NJ United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/icnsc.2013.6548745
2012
Conference Publication
Monitoring and measuring sedentary behaviour with the aid of human digital memories
Dobbins, Chelsea, Fergus, Paul, Merabti, Madjid and Llewellyn-Jones, David (2012). Monitoring and measuring sedentary behaviour with the aid of human digital memories. 9th IEEE Consumer Communications and Networking Conference (CCNC'12), Las Vegas, NV USA, 14-17 January, 2012. Piscataway, NJ USA: IEEE. doi: 10.1109/ccnc.2012.6181016
2012
Conference Publication
Remotely monitoring and preventing the development of pressure ulcers with the aid of human digital memories
Dobbins, Chelsea, Fergus, Paul, Merabti, Madjid and Llewellyn-Jones, David (2012). Remotely monitoring and preventing the development of pressure ulcers with the aid of human digital memories. 2012 IEEE International Conference on Communications, Ottawa, Canada, 10-15 June 2012. Piscataway, NJ United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/icc.2012.6364905
2012
Conference Publication
Capturing and sharing human digital memories with the aid of ubiquitous Peer-to-Peer mobile services
Dobbins, Chelsea, Merabti, Madjid, Fergus, Paul and Llewellyn-Jones, David (2012). Capturing and sharing human digital memories with the aid of ubiquitous Peer-to-Peer mobile services. 2012 IEEE International Conference on Pervasive Computing and Communications Workshops, Lugano, Switzerland, 19-23 March 2012. Piscataway, NJ United States: IEEE. doi: 10.1109/percomw.2012.6197595
2012
Conference Publication
Augmenting human digital memories with physiological data
Dobbins, Chelsea, Merabti, Madjid, Fergus, Paul and Llewellyn-Jones, David (2012). Augmenting human digital memories with physiological data. 2012 IEEE 3rd International Conference on Networked Embedded Systems for Every Application, Liverpool United Kingdom, 13-14 December 2012. Piscataway, NJ United States: IEEE. doi: 10.1109/nesea.2012.6474032
2012
Journal Article
Monitoring and measuring physical activity and sedentary behaviour
Fergus, Paul, Attwood, Andrew, Dobbins, Chelsea, Stratton, Gareth, Hussain, Abir, Al-Jumeily, Dhiya and Randles, Martin (2012). Monitoring and measuring physical activity and sedentary behaviour. International Journal of Healthcare Technology and Management, 13 (5-6), 283-303. doi: 10.1504/IJHTM.2012.052548
Supervision
Availability
- Associate Professor Chelsea Dobbins is:
- Available for supervision
Before you email them, read our advice on how to contact a supervisor.
Supervision history
Current supervision
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Doctor Philosophy
Integrating Wearable Devices into the Patient-Centred Digital Healthcare Environment
Principal Advisor
Other advisors: Professor Juha Toyras
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Doctor Philosophy
Cognitively and Physiologically Adaptive Virtual Reality Systems
Principal Advisor
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Doctor Philosophy
Volume and Flow assessment of fluids through micro-vibration characterisation: application towards Cardiovascular Health
Principal Advisor
Other advisors: Dr Antonio Padilha Lanari Bo
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Doctor Philosophy
Detection of negative emotions using wearable sensors
Principal Advisor
Other advisors: Professor Catherine Haslam
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Doctor Philosophy
Volume and Flow assessment of fluids through micro-vibration characterisation: application towards Cardiovascular Health
Principal Advisor
Other advisors: Dr Antonio Padilha Lanari Bo
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Doctor Philosophy
Exploring Cognitively and Physiologically Adaptive Virtual Reality Systems for Industrial Training
Principal Advisor
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Doctor Philosophy
Detection of negative emotions using wearable sensors
Principal Advisor
Other advisors: Professor Catherine Haslam
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Doctor Philosophy
The feasibility of the decentralised clinical trial model in Australia
Associate Advisor
Other advisors: Associate Professor Nicole Hartley, Dr Helen Haydon
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Doctor Philosophy
The feasibility of the decentralised clinical trial model in Australia
Associate Advisor
Other advisors: Associate Professor Nicole Hartley, Dr Helen Haydon
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Doctor Philosophy
Design for Ergonomics & Human/cobotics task allocation
Associate Advisor
Other advisors: Associate Professor Mehmet Kizil
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Doctor Philosophy
The feasibility of the decentralised clinical trial model in Australia
Associate Advisor
Other advisors: Associate Professor Nicole Hartley, Dr Helen Haydon
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Doctor Philosophy
A mobile health intervention for promoting light and moderate intensity physical activity among young cancer survivors
Associate Advisor
Other advisors: Professor Sandie McCarthy, Associate Professor Stephen Viller
Completed supervision
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2024
Doctor Philosophy
Integrating Wearable Devices into the Patient-Centred Digital Healthcare Environment
Principal Advisor
Other advisors: Professor Juha Toyras
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2022
Doctor Philosophy
Development of a Wearable Sensor-based Ergonomic Monitoring System for Aviation Manufacturing Workers
Principal Advisor
Other advisors: Dr Matthew D'Souza
Media
Enquiries
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