Semi-supervised learning of a POMDP model of Patient-Caregiver Interactions

@inproceedings{Hoey2005SemisupervisedLO,
  title={Semi-supervised learning of a POMDP model of Patient-Caregiver Interactions},
  author={Jesse Hoey and Pascal Poupart and Craig Boutilier and Alex Mihailidis},
  year={2005}
}
This paper presents a decision theoretic model of interactions between assistive technology and users during activities of daily living. The model is a partially observable Markov decision process whose goal is to monitor a user, assist the user during each activity, maintain indicators of overall user health, and adapt to changes. The key idea behind the model is that it is relatively easy to specify, and can be applied to many activities of daily living with little modification. The key… CONTINUE READING

References

Publications referenced by this paper.
Showing 1-10 of 30 references

Assistive technology for cognitive rehabilitation: State of the art

  • E. F. LoPresti, A. Mihailidis, N. Kirsch
  • Neuropsychological Rehabilitation, 14(1/2):5–39
  • 2004
Highly Influential
3 Excerpts

The Development of an Intelligent Cognitive Orthosis to Facilitate Handwashing for Persons with Moderate- to- Severe Dementia

  • A. Mihailidis
  • PhD thesis, University of Strathclyde
  • 2002
Highly Influential
3 Excerpts

D

  • L. Liao
  • Fox, , and H. Kautz. Learning and inferring…
  • 2004
1 Excerpt

Similar Papers

Loading similar papers…