Dr Chelsea Dobbins is a Senior Lecturer within the School of Information Technology and Electrical Engineering (ITEE) at The University of Queensland and member of the Co-Innovation research group within ITEE. Her research focuses on areas including lifelogging, 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 Ph.D. in Computer Science, focusing on Human Digital Memories and Lifelogging, from Liverpool John Moores University (LJMU). She is also an Academic Editor for PLOS ONE and in 2016 received an ACM Computing Review Notable Article award for work related to mining multivariate temporal smart mobile data.
Please visit my webpage on UQ Researchers.
Industry 4.0 is based on real-time data collection, analysis, and management of smart factory operations through smart sensors, including wearable sensors on workers. This project explores the potential for wearable computing sensors and displays to contribute to both increased worker safety and improved production efficiency within smart factories.
This project focuses on the analysis and interpretation of the large amount of data generated by Electrocardiography (ECG) sensors. The results will be visualised and presented in a meaningful and understandable graphic. Finally, this project will explore the most appropriate machine learning techniques to predict the likelihood of heart disease. The goal of this project is to find a way to help users easily understand complex ECG data and make predictions about the onset of heart disease.
Under the supervision of Dr Chelsea Dobbins, a number of thesis projects are underway that explore various aspects of lifelogging, including mobile and smartwatch app development.
Chelsea Dobbins, Stephen Fairclough, Paulo Lisboa and Félix Fernando González Navarro, “A Lifelogging Platform Towards Detecting Negative Emotions in Everyday Life using Wearable Devices” in 2018 IEEE International Conference on Pervasive Computing and Communications (PerCom’18), Athens, Greece, 19th – 23rd March, 2018, pp. 306 – 311, Doi: https://doi.org/10.1109/PERCOMW.2018.8480180
Chelsea Dobbins and Stephen Fairclough, “Detecting Negative Emotions During Real-Life Driving via Dynamically Labelled Physiological Data” in 2018 IEEE International Conference on Pervasive Computing and Communications (PerCom’18), Athens, Greece, 19th – 23rd March, 2018, pp. 830 -835, Doi: https://doi.org/10.1109/PERCOMW.2018.8480369
Kellyann Stamp, Chelsea Dobbins, Stephen Fairclough and Helen Poole, "The Influence of Game Demand on Distraction from Experimental Pain: A fNIRS Study" in Frontiers in Human Neuroscience Conference Abstract: 2nd International Neuroergonomics Conference, Philadelphia, PA, USA, June 27-29, 2018, Doi: 10.3389/conf.fnhum.2018.227.00020
Chelsea Dobbins and Stephen Fairclough, “Signal Processing of Multimodal Mobile Lifelogging Data towards Detecting Stress in Real-World Driving” in IEEE Transactions on Mobile Computing, vol. 18, no. 3, pp. 632 – 644, 2018. Doi: https://doi.org/10.1109/TMC.2018.2840153
Chelsea Dobbins and Reza Rawassizadeh, “Towards Clustering of Mobile and Smartwatch Accelerometer Data for Physical Activity Recognition” in Informatics, vol. 5, no. 2, pp. 29, 2018. Doi: https://doi.org/10.3390/informatics5020029
Reza Rawassizadeh, Chelsea Dobbins, Mohammad Akbari and Michael Pazzani, “Indexing Multivariate Mobile Data through Spatio-Temporal Event Detection and Clustering” in Sensors, vol. 19, no. 3, pp. 448, 2019. Doi: https://doi.org/10.3390/s19030448
Chelsea Dobbins and Stephen Fairclough, “Detecting and Visualizing Context and Stress via a Fuzzy Rule-Based System During Commuter Driving” in 2019 IEEE International Conference on Pervasive Computing and Communications (PerCom’19), Kyoto, Japan, 11th – 15th March, 2019, pp. 499–504. Doi: https://doi.org/10.1109/PERCOMW.2019.8730600