Dr Jamie A. Ward

Contact

Room: D21
Tel: +44 (0) 1524 510 368
Fax: +44 (0) 1524 510492
Email: j.a.ward@lancaster.ac.uk
http://www.jamieward.net/

Teaching

CSC355: Artificial Intelligence (sub-topic: "stochastic modelling")
MSc in Advanced Computer Science: Ubiquitous Computing module (sub-topic: "activity recognition")

Research Themes

eye based activity recognition; wearable computing;
activity recognition using body worn sensors; multi sensor data
fusion; stochastic modeling of dynamic systems;
change detection in time series; methods of performance
evaluation; and attention aware user interfaces.

Jamie A. Ward

Overview of Activities

My main interest is in exploring the use of body worn sensors to gather information about our common daily activities and habits.

I am involved with a number of specific research topics:
activity recognition using wearable and body-worn sensors ( sticking accelerometers, microphones and electrodes on to people and watching what they do )
continuous activity recognition ( how to 'spot' and then classify interesting activities from a sequence)
methods of evaluating continuous recognition ( figuring out what the results mean )

Profile

My current work is funded by a MarieCurie European Fellowship under the title, "Multimodal Activity Recognition for Interactive Environments"( (MARIE))

I completed my Ph.D. on "Activity Monitoring: Continuous Recognition and Performance Evaluation," at the Swiss Federal Institute of Technology (ETH), Zürich, in July 2006. Prior to that, I spent a year working for an electronics company in Austria (as an analogue circuit designer). In May 2000, I graduated with a BEng(Hons) in Computer Science and Electronics, at the University of Edinburgh.

Full publication list for Jamie A. Ward

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