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
2018
Journal Article
The influence of game demand on distraction from experimental pain: A fNIRS study
Stamp, Kellyann, Dobbins, Chelsea, Fairclough, Stephen and Poole, Helen (2018). The influence of game demand on distraction from experimental pain: A fNIRS study. Frontiers in Human Neuroscience, 12. doi: 10.3389/conf.fnhum.2018.227.00020
2017
Journal Article
MyWallMate: An Investigation into the use of Mobile Technology in Enhancing Student Engagement
Dobbins, Chelsea and Denton, Philip (2017). MyWallMate: An Investigation into the use of Mobile Technology in Enhancing Student Engagement. Techtrends, 61 (6), 541-549. doi: 10.1007/s11528-017-0188-y
2017
Journal Article
Detecting physical activity within lifelogs towards preventing obesity and aiding ambient assisted living
Dobbins, Chelsea, Rawassizadeh, Reza and Momeni, Elaheh (2017). Detecting physical activity within lifelogs towards preventing obesity and aiding ambient assisted living. Neurocomputing, 230, 110-132. doi: 10.1016/j.neucom.2016.02.088
2017
Conference Publication
Development of a neuroadaptive gaming technology to distract from painful procedures
Stamp, Kellyann, Dobbins, Chelsea, Fairclough, Stephen and Poole, Helen (2017). Development of a neuroadaptive gaming technology to distract from painful procedures. The First Neuroadaptive Technology Conference 2017 (NAT’17), Berlin, Germany, 19-21 July 2017.
2017
Conference Publication
Wearable Sensors, Driving and the Visualization of Cardiovascular Stress During Everyday Life
Dobbins, Chelsea and Fairclough, Stephen (2017). Wearable Sensors, Driving and the Visualization of Cardiovascular Stress During Everyday Life. 1st Neuroadaptive Technology Conference 2017 (NAT’17), Berlin, Germany, 19-21 July 2017.
2017
Conference Publication
A natural language query interface for searching personal information on smartwatches
Rawassizadeh, Reza, Dobbins, Chelsea, Nourizadeh, Manouchehr, Ghamchili, Zahra and Pazzani, Michael (2017). A natural language query interface for searching personal information on smartwatches. 2017 IEEE International Conference on Pervasive Computing and Communications Workshops, Big Island, HI, USA, 13-17 March 2017. Piscataway, NJ, USA: Institute of Electrical and Electronics Engineers. doi: 10.1109/percomw.2017.7917645
2017
Conference Publication
Measuring academic stress ‘in the wild’ with wearable sensors: removal of noise from wearable sensor data using FIR filters
Harris, Benjamin, Dobbins, Chelsea, Fairclough, Stephen and Lisboa, Paulo (2017). Measuring academic stress ‘in the wild’ with wearable sensors: removal of noise from wearable sensor data using FIR filters. The First Neuroadaptive Technology Conference 2017 (NAT’17), Berlin, Germany, 19 – 21 July 2017.
2016
Journal Article
Scalable Daily Human Behavioral Pattern Mining from Multivariate Temporal Data
Rawassizadeh, Reza, Momeni, Elaheh, Dobbins, Chelsea, Gharibshah, Joobin and Pazzani, Michael (2016). Scalable Daily Human Behavioral Pattern Mining from Multivariate Temporal Data. IEEE Transactions On Knowledge and Data Engineering, 28 (11) 7523395, 3098-3112. doi: 10.1109/TKDE.2016.2592527
2016
Journal Article
Advanced artificial neural network classification for detecting preterm births using EHG records
Fergus, Paul, Idowu, Ibrahim, Hussain, Abir and Dobbins, Chelsea (2016). Advanced artificial neural network classification for detecting preterm births using EHG records. Neurocomputing, 188, 42-49. doi: 10.1016/j.neucom.2015.01.107
2016
Book Chapter
Lifelogging technologies to detect negative emotions associated with cardiovascular disease
Dobbins, Chelsea and Fairclough, Stephen (2016). Lifelogging technologies to detect negative emotions associated with cardiovascular disease. Applied computing in medicine and health. (pp. 27-44) edited by Dhiya Al-Jumeily, Abir Hussain, Conor Mallucci and Carol Oliver. Waltham, MA United States: Morgan Kaufmann/Elsevier. doi: 10.1016/b978-0-12-803468-2.00002-3
2015
Journal Article
Educational crowdsourcing to support the learning of computer programming
Al-Jumeily, Dhiya, Hussain, Abir, Alghamdi, Mohammed, Dobbins, Chelsea and Lunn, Jan (2015). Educational crowdsourcing to support the learning of computer programming. Research and Practice in Technology Enhanced Learning, 10 (13) 13. doi: 10.1186/s41039-015-0011-3
2015
Journal Article
Lesson Learned from Collecting Quantified Self Information via Mobile and Wearable Devices
Rawassizadeh, Reza, Momeni, Elaheh, Dobbins, Chelsea, Mirza-Babaei, Pejman and Rahnamoun, Ramin (2015). Lesson Learned from Collecting Quantified Self Information via Mobile and Wearable Devices. Journal of Sensor and Actuator Networks, 4 (4), 315-335. doi: 10.3390/jsan4040315
2015
Journal Article
The utilization of data analysis techniques in predicting student performance in massive open online courses (MOOCs)
Hughes, Glyn and Dobbins, Chelsea (2015). The utilization of data analysis techniques in predicting student performance in massive open online courses (MOOCs). Research and Practice in Technology Enhanced Learning, 10 (1) 10. doi: 10.1186/s41039-015-0007-z
2015
Journal Article
Guest Editorial Special Issue on: Big Data Analytics in Intelligent Systems
Hurst, William and Dobbins, Chelsea (2015). Guest Editorial Special Issue on: Big Data Analytics in Intelligent Systems. Journal of Computer Sciences and Applications, 3 3A, 1-9. doi: 10.12691/jcsa-3-3A-1
2015
Conference Publication
Artificial Intelligence for Detecting Preterm Uterine Activity in Gynecology and Obstetric Care
Idowu, Ibrahim Olatunji, Fergus, Paul, Hussain, Abir, Dobbins, Chelsea, Khalaf, Mohammed, Eslava, Raul V. Casana and Keight, Robert (2015). Artificial Intelligence for Detecting Preterm Uterine Activity in Gynecology and Obstetric Care. 2015 IEEE International Conference on Computer and Information Technology, Liverpool United Kingdom, 26-28 Oct. 2015. Piscataway, NJ United States: IEEE. doi: 10.1109/cit/iucc/dasc/picom.2015.31
2015
Conference Publication
Clustering of Physical Activities for Quantified Self and mHealth Applications
Dobbins, Chelsea and Rawassizadeh, Reza (2015). Clustering of Physical Activities for Quantified Self and mHealth Applications. IEEE International Conference on Computer and Information, Liverpool United Kingdom, 26-28 October 2015. Piscataway, NJ United States: IEEE. doi: 10.1109/CIT/IUCC/DASC/PICOM.2015.213
2015
Conference Publication
Knowledge extraction using probabilistic reasoning: An artificial neural network approach
Dobbins, Chelsea and Fergus, Paul (2015). Knowledge extraction using probabilistic reasoning: An artificial neural network approach. 2015 International Joint Conference on Neural Networks, Killarney, Ireland, 12-17 July 2015. Piscataway, NJ United States: IEEE. doi: 10.1109/ijcnn.2015.7280526
2015
Conference Publication
Digital Memories Based Mobile User Authentication for IoT
Shone, Nathan, Dobbins, Chelsea, Hurst, William and Shi, Qi (2015). Digital Memories Based Mobile User Authentication for IoT. IEEE International Conference on Computer and Information, Liverpool United Kingdom, 26-28 October 2015. Piscataway, NJ United States: IEEE. doi: 10.1109/CIT/IUCC/DASC/PICOM.2015.270
2014
Conference Publication
Creating human digital memories with the aid of pervasive mobile devices
Dobbins, Chelsea, Merabti, Madjid, Fergus, Paul and Llewellyn-Jones, David (2014). Creating human digital memories with the aid of pervasive mobile devices. Amsterdam, Netherlands: Elsevier. doi: 10.1016/j.pmcj.2013.10.009
2014
Conference Publication
Evaluation of Advanced Artificial Neural Network Classification and Feature Extraction Techniques for Detecting Preterm Births Using EHG Records
Fergus, Paul, Idowu, Ibrahim Olatunji, Hussain, Abir Jaffar, Dobbins, Chelsea and Al-Askar, Haya (2014). Evaluation of Advanced Artificial Neural Network Classification and Feature Extraction Techniques for Detecting Preterm Births Using EHG Records. International Conference on Intelligent Computing, Taiyuan, China, 3-6 August 2014. Cham, Switzerland: Springer International Publishing. doi: 10.1007/978-3-319-09330-7_37
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
Detection of negative emotions using wearable sensors
Principal Advisor
Other advisors: Professor Catherine Haslam
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Doctor Philosophy
Development of Cognitively Adaptive Training Systems in Virtual Reality
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
Cognitively and Physiologically Adaptive Virtual Reality Systems
Principal Advisor
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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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