6. In-Home Monitoring : A Study of Case Managers

7. Activity and Location Inference

8. 3.1 Overview of a typically instrumented room

9. 3.2 A DBN describing room-level tracking and activity recognition

10. Figure 3.3: A DBN describing occupant state and data associations.

11. 3.4 Accuracy vs. number of particles

12. Figure 3.5: Accuracy vs. number of occupants.

13. Figure 3.6: Accuracy vs. number of particles.

14. Figure 3.7: Tracking results for STAR experiment # 2.

15. Figure 3.8: Physical layout of the PlaceLab instrumented apartment.

16. Data Collection in the Home

17. 4.1 Screenshot of CARS for experiment # 1

18. 4.2 Symbols: (a) Refrigerator open, (b) water on, (c) cabinet closed

19. 4.3 Pictures of (a) The iBracelet, a wearable RFID reader, (b) tagged objects

20. 4.4 Screenshot of CARS for experiment # 2

21. 4.5 Symbols from left to right: (a) Faucet, (b) bleach, (c) toothbrush

22. 4.6 Relation between confidence and labeling accuracy

23. 4.7 Model accuracy as number of trained episodes increases

25. 5.1 Trellis for k-Edits Viterbi on HMMs

26. 5.2 Trellis for k-Edits Viterbi on HSMMs

27. 5.3 HMMs vs. HSMMs (top) and HSMMs vs. TCHMMs (bottom)

30. 5.4 The likelihood of KEDIT traces as k increases