Machine learning for activity recognition Public Deposited

http://ir.library.oregonstate.edu/concern/technical_reports/0r967495v

Descriptions

Attribute NameValues
Creator
Abstract or Summary
  • This paper surveys the activity recognition task from a machine learning perspective. I give a definition of this problem, and I classify different activity recognition problems into two categories. I show the activities can be hierarchical, and based on such hierarchies I synthesize a language to describe activities. I give a general criteria set to evaluate activity recognition methods. I summarize some off-the-shelf machine learning methods for activity recognition and evaluate them based on this criteria set. Finally, I discuss some methods that I believe can improve the activity recognition performance.
Resource Type
Date Available
Date Issued
Series
Keyword
Subject
Rights Statement
Publisher
Peer Reviewed
Language
Replaces
Additional Information
  • description.provenance : Approved for entry into archive by Laura Wilson(laura.wilson@oregonstate.edu) on 2012-12-04T17:10:33Z (GMT) No. of bitstreams: 1 2004-70.pdf: 421696 bytes, checksum: cb4dc1f17e3c517b3d896cf60433cb14 (MD5)
  • description.provenance : Submitted by Laura Wilson (laura.wilson@oregonstate.edu) on 2012-12-04T17:09:30Z No. of bitstreams: 1 2004-70.pdf: 421696 bytes, checksum: cb4dc1f17e3c517b3d896cf60433cb14 (MD5)
  • description.provenance : Made available in DSpace on 2012-12-04T17:10:33Z (GMT). No. of bitstreams: 1 2004-70.pdf: 421696 bytes, checksum: cb4dc1f17e3c517b3d896cf60433cb14 (MD5) Previous issue date: 2004

Relationships

Parents:

This work has no parents.

Last modified

Downloadable Content

Download PDF

Items