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Friday AM Session (7:30am - 10:30am)

7:30 - 7:45 Welcome

7:45 - 8:50 Hardware and sensors (the domains and the data)

•  Gaetano Borriello, [U of Washington, CS Department] 25 min
  • "A Sensor Platform for Human Activity Inferencing." [Abstract] [Speaker Bio]
•  Dave Andre, [BodyMedia], Inc 25 min
  • "Machine learning from continuous physiological data." [Abstract] [Speaker Bio]
•  Discussion 15 min

8:50 - 9:50 Inference Mechanisms

•  Hung Bui, [SRI International], 25 min
  • "Scalable inference for hierarchical stochastic models." [Abstract] [Speaker Bio]
•  Irfan Essa, [Georgia Tech's College of Computing] 25 min
  • "Activity Recognition: From HMMs to Grammars to Network Representations." [Abstract] [Speaker Bio]
•  Discussion 10 min

9:50 - 10:00 Break

9:10 - 10:30 Applications Systems

•  Dieter Fox, [U of Washington, CS Department]  25 min
  • "Location Estimation for Activity Recognition" [Abstract] [Speaker Bio]
•  Discussion 5 min

10:30 - 4:00 BREAK!

Friday Afternoon Session (4:00pm - 7:00pm)

4:00 - 5:00 Application or Systems Overviews (~10 Minute Presentations)

•  Tanzeem Choudhury, [Intel Research Seattle]
  • "Inferring Social Networks from Sensor Data" [Abstract] [Speaker Bio]
•  Jianbo Shi [U Penn]
  • "Finding Unusual Activity in Video" [Abstract] [Speaker Bio]
•  Don Patterson, [U of Washington, CS Department ]
  • "Fine-grained model-based activity recognition from RFID sensors"
•  Thad Starner [Georgia Tech]
  • "Activity Recognition in a Mobile Context"
• Chris Wren [MERL]
  • "Event and Activity Discovery work at MERL" [Abstract] [Speaker Bio]

5:00 - 6:00 Poster session and break

1. D. Ashbrook, T. Westeyn, D. Minnen, T. Starner [Georgia Tech]
   • "Discovery of Multiple Resolution Activity"  [Abstract]
2. T. Duong, H. Bui, [SRI International], D. Phung and S. Venkatesh
   • "Activity recognition and abnormality detection with the Switching Hidden Semi Markov Model" [Abstract]
3. L. Liao, D. Fox, H. Kautz. [U of Washington, CS Department ]
   •  "Hierarchical and Relational Models for Activity Recognition''
4. J. Letchner et al. [U of Washington, CS Department]
   • "PlaceLab: Estimating Outdoor Location from WiFi and GSM"
5. D. Patterson, [U of Washington, CS Department ]
   • "Fine-grained model-based activity recognition from RFID sensors"
6. J. Shi et al. [U Penn]
   • "Finding Unusual Activity in Video" [Abstract] [Speaker Bio]
7. Y. Shi, Y. Huang, D. Minnen, et al.
   •  "Propogation Nets for Recognizing Partially Ordered Activities'' [Abstract]
8. K. Torkkola, [Motorola],
   • "Activity Recognition in the Driving Domain" [Abstract]
9. C. Wren [MERL]
   • "Activity Mining in Sensor Networks" [Abstract] [Bios]
10. 4-5 more posters!
     

6:00 - 6:25 Inference Tools

•  Charles Isbell, Georgia Tech's College of Computing, 25 min
  • "Reinforcement Learning for Activity Discovery" [Abstract] [Speaker Bio]

6:25 - 7:00 Moderated / Closing discussion,

•  Next Steps.
•  Planning for Banquet Presentation and Report.
   

[Schedule] [Speakers & Topics] [Goals and Format] [Abstracts] [NIPS 2004 Conference] [NIPS 2004 Workshops]

Last Updated: 10/03/2005 10:04:58 AM