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Contact
Downloads
- MSET Performance Evaluation Scripts in MATLAB (pre-release!): scripts
Publications
- Eye Movement Analysis for Activity Recognition Using
Electrooculography
A. Bulling, J.A. Ward, H. Gellersen and G. Troester
IEEE Transactions on Pattern Analysis and Machine
Intelligence (PAMI), IEEE, 2010, in press
- Eye movement analysis for activity recognition
A. Bulling, J.A. Ward, H. Gellersen and G. Troester
Proceedings of the 11th international conference on
Ubiquitous computing, ACM, 2009, p41-50
acceptance rate: 12.4%, best paper nominee
- Robust Recognition of Reading Activity in Transit Using
Wearable Electrooculography
A. Bulling, J.A. Ward, H. Gellersen
and G. Troester
Proceedings of the 6th International Conference
on Pervasive Computing (Pervasive 2008), p19-37, acceptance rate:
15.8%
- Activity Recognition of Assembly Tasks
Using Body-Worn Microphones and Accelerometers
J.A. Ward and P. Lukowicz and G. Troester and T. Starner
IEEE Trans.
Pattern Analysis and Machine Intelligence, 28:10, pp 1553-1567,
October
2006
(Published here)
draft
[The wood workshop scenario from 2004 was revisited in a multi-subject, continuous recognition experiment. ]
- Ph.D thesis, "Activity monitoring:
continuous recognition and performance evaluation"
Jamie A.
Ward, 2006. (Buy hardcopy or download for free from Lulu.com) or direct at:
Or skip direct to Chapters 7 and 8 (introducing the segment error table, SET, for performance
analysis):
- Evaluating Performance in continuous
context recognition using event-driven error characterisation
Jamie A Ward, Paul Lukowicz and Gerhard Troester
LoCA 2006,
[Details the categorisation of Overfill, Underfill, Fragmenting and Merge errors in addition to the more well known Insertion, Deletion and Substitution errors. It tackles the problems of evaluating both discrete event recognition and continuous timeseries. A method of collecting these results, the Segment Error Table, SET, is also proposed as a more in-depth variant to the common confusion matrix (More details on these methods and their usage can also be found in the later chapters of my thesis.)]
- A categorisation of performance errors
in continuous context recognition
Jamie A Ward, Paul Lukowicz and Gerhard Troester
ISWC-2005 workshop 'On-Body Sensing',
- Gesture spotting using wrist worn
microphone and 3-Axis accelerometer
Jamie A Ward, Paul Lukowicz and Gerhard Troester
,sOc-EUSAI'2005, Oct 2005, p99-104
[First introduced the idea of Overfill and Underfill as complimentary measures to Insertion and Deletion counts when evaluating continuous recognition problems. These error types are visualised in a stacked barchart (which was later given a name, Error Description Diagram (EDD) by Tracy Westyn of Gatech .)]
- ROC Analysis of Partitioning Method
for Activity Recognition
Using Two Microphones
Jamie A Ward, Paul Lukowicz and Gerhard Troester
Advances in Pervasive Computing Adjunct Proceedings of the 3rd
International Conference on Pervasive Computing,
May. 8-13,2005, (ISBN 3-85403-191-2)
- Recognizing Workshop Activity Using
Body Worn Microphones and Accelerometers
P. Lukowicz, J.A.
Ward, H. Junker, M. Stäger, G. Tröster, A. Atrash, T.
Starner
Pervasive Computing,
Vienna, Austria, 18.-23. April 2004, pages 18-22, Springer-Verlag
- User
Activity Related Data Sets for Context Recognition
Holger
Junker, Jamie
Ward, Paul Lukowicz, Gerhard Tröster
Workshop Proceedings
'Benchmarks and a Data Base for Context Recognition',
Workshop
held
in conjunction with Pervasive 2004 conference (ISBN 3-9522686-2-3).
- AMON: A Wearable Multiparameter
Medical Monitoring and Alert System
U. Anliker,
J.A. Ward, P. Lukowicz, G. Tröster,
F. Dolveck, M. Baer, F. Keita,
E. Schenker, F. Catarsi, L. Coluccini,
A. Belardinelli, D. Shklarski, M. Alon,
E. Hirt, R. Schmid, M. Vuskovic.
IEEE
Transactions on Information Technology in
Biomedicine, Volume 8, Issue 4, Dec. 2004, pages 415- 427
- AMON: A Wearable Medical Computer for
High Risk Patients P. Lukowicz, U. Anliker, J. Ward, G.
Tröster, E. Hirt, and C. Neufelt, The Sixth
International Symposium on Wearable Computers, 7.-10. October
2002, pages 133-134
- Neuro electronic Technology in Medicine and
Beyond, Jamie
Ward, Computer Science Dissertation, University of Edinburgh
- A software based low vision aid,
Engineering report, Jamie Ward, University of Edinburgh
Internal technical notes
- Continuous activity recognition in the kitchen using miniaturised sensor button , Jamie
A Ward, Nagendra B Bharatula, Gerhard Tröster, Paul Lukowicz
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