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

  1. 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]
  2. 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
  3. 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.
  4. 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
  5. 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.
  6. Learning a Rare Event Detection Cascade by Direct Feature Selection, J. Wu, J. Rehg, M. Mullin.
  7. Fast and Robust Classification using Asymmetric AdaBoost and a Detector Cascade, P. Viola, M. Jones
  8. Robust Real-time Object Detection, P. Viola, M. Jones
  9. Robust Real-time Object Detection (Tech Report), P. Viola, M. Jones

Direct all complaints and compliments to bensonl AT cs