Dr Chelsea Dobbins

Senior Lecturer

School of Information Technology and Electrical Engineering
Faculty of Engineering, Architecture and Information Technology
c.m.dobbins@uq.edu.au
+61 7 336 52005

Overview

Dr Chelsea Dobbins is a Senior Lecturer within the School of Information Technology and Electrical Engineering (ITEE) at The University of Queensland. 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.

Chelsea received her BSc (Hons) in Software Engineering and PhD in Computer Science, focusing on Human Digital Memories and Lifelogging, from Liverpool John Moores University (LJMU). In 2016 received an ACM Computing Review Notable Article award for work related to mining multivariate temporal smart mobile data.

Research Interests

  • 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.
  • Affective Computing
  • Signal Processing
  • Physiological Computing
  • Human-Computer Interaction (HCI)
  • Digital Health
  • Mobile/Wearable Sensors
  • Pervasive Computing
  • 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.

Qualifications

  • Bachelor of Science (Honours), Liverpool John Moores University
  • Doctor of Philosophy, Liverpool John Moores University

Publications

View all Publications

Supervision

  • Doctor Philosophy

  • Doctor Philosophy

  • Doctor Philosophy

View all Supervision

Available Projects

  • In partnership with Canteen and key adolescent and youth cancer services around Australia, this project will design and implement a digitally-enabled wellbeing intervention for young people affected by cancer. The project team seek PhD candidates with an interest in one or more of the following variables critical to the wellbeing of the target cohort: quality of life, physical activity, nutrition, sleep health and psychological distress. Students with an interest in health economics or the development and delivery of human-centred internet and app-based interventions are also invited to apply.

View all Available Projects

Publications

Book Chapter

Journal Article

Conference Publication

  • Liu, Guobin, Dobbins, Chelsea, D'Souza, Matthew and Phuong, Ngoc (2021). Analysis of biometric sensor data for predicting fatigue: a framework towards reducing work-related musculoskeletal disorders in aviation manufacturing workers. 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), Mexico (virtual) , 1-5 November 2021. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers . doi: 10.1109/embc46164.2021.9631033

  • Barry, Benjamin, Lewis, Peter, Braunstein, Mark, Cottrell, Neil, Mandrusiak, Allison, Jauncey-Cooke, Jacqueline, Darlington, Sharon, Oancea, Iulia, Sullivan, Claire, Dobbins, Chelsea, Steel, Jim and Hansen, David (2020). Enabling interprofessional education via a new teaching tool based on an electronic medical record. ANZAHPE 2020 Conference, Melbourne, VIC, Australia, 12-15 July 2020. Melbourne, VIC, Australia: Australian & New Zealand Association for Health Professional Educators.

  • Dey, Arindam, Phoon, Jane, Saha, Shuvodeep, Dobbins, Chelsea and Billinghurst, Mark (2020). Neurophysiological effects of presence in calm virtual environments. 2020 IEEE Conference on Virtual Reality and 3D User Interfaces, Atlanta, GA, United States, 22-26 March 2020. Piscataway, NJ, United States: IEEE. doi: 10.1109/vrw50115.2020.00223

  • Stamp, Kellyann, Dobbins, Chelsea and Fairclough, Stephen (2020). Utilization of neurophysiological data to classify player immersion to distract from pain. International Conference on Human-Computer Interaction, Copenhagen, Denmark, 19-24 July 2020. Cham, Switzerland: Springer International Publishing. doi: 10.1007/978-3-030-60128-7_55

  • Dobbins, Chelsea and Fairclough, Stephen (2019). Detecting and visualizing context and stress via a fuzzy rule-based system during commuter driving. International Conference on Pervasive Computing and Communications (PerCom 2019), Kyoto, Japan, 11-15 March 2019. Piscataway, NJ, United States: Institute of Electrical and Electronic Engineers (IEEE). doi: 10.1109/PERCOMW.2019.8730600

  • Dobbins, Chelsea, Fairclough, Stephen, Lisboa, Paulo and Navarro, Felix Fernando Gonzalez (2018). A Lifelogging Platform Towards Detecting Negative Emotions in Everyday Life using Wearable Devices. 2018 IEEE International Conference on Pervasive Computing and Communications Workshops, Athens, Greece, 19-23 March 2018. Piscataway, NJ United States: IEEE. doi: 10.1109/percomw.2018.8480180

  • Dobbins, Chelsea and Fairclough, Stephen (2018). Detecting Negative Emotions During Real-Life Driving via Dynamically Labelled Physiological Data. 2018 IEEE International Conference on Pervasive Computing and Communications Workshops , Athens, Greece, 19-23 March 2018. Piscataway, NJ United States: IEEE. doi: 10.1109/percomw.2018.8480369

  • Stamp, Kellyann, Dobbins, Chelsea, Fairclough, Stephen and Poole, Helen (2018). The Influence of Game Demand on Distraction from Experimental Pain: A fNIRS Study. 2nd International Neuroergonomics Conference, Philadelphia, PA, United States, 27-29 June 2018. Frontiers Media.

  • Dobbins, Chelsea and Fairclough, Stephen (2017). A mobile lifelogging platform to measure anxiety and anger during real-life driving. 2017 IEEE International Conference on Pervasive Computing and Communications Workshops, Big Island, HI, USA, 13-17 March 2017. Piscataway, NJ, USA: IEEE. doi: 10.1109/percomw.2017.7917583

  • 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

  • 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.

  • 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.

  • 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.

  • 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

  • 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

  • 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

  • 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

  • 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

  • Dobbins, Chelsea, Merabti, Madjid, Fergus, Paul and Llewellyn-Jones, David (2014). A user-centred approach to reducing sedentary behaviour. 2014 IEEE 11th Consumer Communications and Networking Conference , Las Vegas, Nevada United States, 10-13 January 2014. Piscataway, NJ United States: IEEE. doi: 10.1109/ccnc.2014.6866645

  • 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

  • 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

  • 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

  • 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

  • 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

  • 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

  • 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

  • Dobbins, Chelsea, Fergus, Paul, Merabti, Madjid and Llewellyn-Jones, David (2012). Monitoring and measuring sedentary behaviour with the aid of human digital memories. 2012 IEEE Consumer Communications and Networking Conference, Las Vegas, NV USA, 14-17 January. Piscataway, NJ USA: IEEE. doi: 10.1109/ccnc.2012.6181016

  • 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

Grants (Administered at UQ)

PhD and MPhil Supervision

Current Supervision

  • Doctor Philosophy — Principal Advisor

  • Doctor Philosophy — Principal Advisor

    Other advisors:

  • Doctor Philosophy — Principal Advisor

  • Doctor Philosophy — Associate Advisor

  • Doctor Philosophy — Associate Advisor

    Other advisors:

  • Doctor Philosophy — Associate Advisor

    Other advisors:

Possible Research Projects

Note for students: The possible research projects listed on this page may not be comprehensive or up to date. Always feel free to contact the staff for more information, and also with your own research ideas.

  • In partnership with Canteen and key adolescent and youth cancer services around Australia, this project will design and implement a digitally-enabled wellbeing intervention for young people affected by cancer. The project team seek PhD candidates with an interest in one or more of the following variables critical to the wellbeing of the target cohort: quality of life, physical activity, nutrition, sleep health and psychological distress. Students with an interest in health economics or the development and delivery of human-centred internet and app-based interventions are also invited to apply.