CSE 591 RL
Robotics and State Estimation
Group Meeting
Fall Quarter, 2004
This quarter, we will implement Bayesian
filtering techniques to extract activity information from continuous,
low-level sensor data.
Organization
Meeting times: Mondays 4:30-5:30pm
Location: CSE-491 (RSE-lab)
Mailing List
Wiki
Schedule
| Date |
Plan |
To Do Before Meeting |
| October 1 |
Organizational meeting |
|
| October 4 |
Look at data we will be using. |
|
| October 11 |
Discussion on how to "split" work. |
Read first 5 readings on the reading list. |
| October 18 |
Discussion of features. |
Read Viola papers on the reading list. |
| October 25 |
TBA |
|
| November 1 |
TBA |
|
| November 8 |
TBA |
|
| November 15 |
TBA |
|
| November 22 |
Pattern Classification |
Read pgs. 1 - 44 in Pattern Classification |
| November 29 |
TBA |
|
| December 6 |
TBA |
|
Data
Instructions and links to data (CSE ID required)
Reading List
- K. Van Laerhoven and H.-W. Gellersen. "Spine versus Porcupine: a Study in
Distributed Wearable Activity Recognition". In Proceedings of the
eighth International Symposium on Wearable Computers, ISWC 2004,
Arlington, VA. IEEE Press, 2004, pp. ??-??. [to appear]
- K. Van Laerhoven, A. Schmidt and H.-W. Gellersen. "Multi-Sensor Context-Aware Clothing". In
Proceedings of the sixth International Symposium on Wearable Computers,
ISWC 2002, Seattle, WA. ISBN: 0-7695-1816-8; IEEE Press, 2002,
pp. 49-57. PDF
- Multi-Sensor Activity Context
Detection for Wearable Computing, Nicky Kern and Bernt Schiele, In
European Symposium on Ambient Intelligence(EUSAI), Eindhoven, The
Netherlands, November 2003.
- Towards an Inertial Sensor
Network, K. van Laerhoven, N. Kern, H.W. Gellersen, B. Schiele, In
IEE EuroWearable '03, Birmingham, UK, 4.-5. September 2003, pages 125-130
- L. Bao and S. S. Intille, "Activity
recognition from user-annotated acceleration data," in Proceedings of
PERVASIVE 2004, vol. LNCS 3001, A. Ferscha and F. Mattern, Eds. Berlin
Heidelberg: Springer-Verlag, 2004, pp. 1-17.
- Learning a Rare Event
Detection Cascade by Direct Feature Selection, J. Wu, J. Rehg, M. Mullin.
- Fast and Robust Classification using
Asymmetric AdaBoost and a Detector Cascade, P. Viola, M. Jones
- Robust Real-time Object
Detection, P. Viola, M. Jones
- Robust Real-time Object
Detection (Tech Report), P. Viola, M. Jones
Direct all complaints and compliments to bensonl AT cs