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Influence of accelerometer signal pre-processing and classification method on human activity recognition
Abstract
A study of data pre-processing influence on accelerometer-based human activity recognition algorithms is presented. The frequency band used to filter-out the accelerometer signals and the number of accelerometers involved were considered in terms of their influence on the recognition accuracy. In the test four methods of classification were used: support vector machine, decision trees, neural network, k-nearest neighbor.
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- Category:
- Articles
- Type:
- artykuły w czasopismach recenzowanych i innych wydawnictwach ciągłych
- Published in:
-
Elektronika : konstrukcje, technologie, zastosowania
no. 51,
pages 18 - 23,
ISSN: 0033-2089 - Language:
- Polish
- Publication year:
- 2010
- Bibliographic description:
- Kupryjanow A., Kaszuba K., Czyżewski A.: Influence of accelerometer signal pre-processing and classification method on human activity recognition// Elektronika : konstrukcje, technologie, zastosowania. -Vol. 51., nr. Nr 3 (2010), s.18-23
- Verified by:
- Gdańsk University of Technology
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