articleJul 9, 2005Closed access
Activity recognition from accelerometer data
Rutgers, The State University of New Jersey
Abstract
Activity recognition fits within the bigger framework of context awareness. In this paper, we report on our efforts to recognize user activity from accelerometer data. Activity recognition is formulated as a classifica-tion problem. Performance of base-level classifiers and meta-level classifiers is compared. Plurality Voting is found to perform consistently well across different set-tings.
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1,372
total citations
- FWCI
- 14.65
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- 100%
- References
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Authors
4Topics & keywords
Topics
Keywords
- Activity recognition
- Accelerometer
- Computer science
- Context (archaeology)
- Voting
- Machine learning
- Artificial intelligence
- Pattern recognition (psychology)
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