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Accelerometry-Based Classification of Human Activities Using Markov Modeling
Joint Authors
Mannini, Andrea
Sabatini, Angelo Maria
Source
Computational Intelligence and Neuroscience
Issue
Vol. 2011, Issue 2011 (31 Dec. 2011), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2011-09-04
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
Accelerometers are a popular choice as body-motion sensors: the reason is partly in their capability of extracting information that is useful for automatically inferring the physical activity in which the human subject is involved, beside their role in feeding biomechanical parameters estimators.
Automatic classification of human physical activities is highly attractive for pervasive computing systems, whereas contextual awareness may ease the human-machine interaction, and in biomedicine, whereas wearable sensor systems are proposed for long-term monitoring.
This paper is concerned with the machine learning algorithms needed to perform the classification task.
Hidden Markov Model (HMM) classifiers are studied by contrasting them with Gaussian Mixture Model (GMM) classifiers.
HMMs incorporate the statistical information available on movement dynamics into the classification process, without discarding the time history of previous outcomes as GMMs do.
An example of the benefits of the obtained statistical leverage is illustrated and discussed by analyzing two datasets of accelerometer time series.
American Psychological Association (APA)
Mannini, Andrea& Sabatini, Angelo Maria. 2011. Accelerometry-Based Classification of Human Activities Using Markov Modeling. Computational Intelligence and Neuroscience،Vol. 2011, no. 2011, pp.1-10.
https://search.emarefa.net/detail/BIM-487971
Modern Language Association (MLA)
Mannini, Andrea& Sabatini, Angelo Maria. Accelerometry-Based Classification of Human Activities Using Markov Modeling. Computational Intelligence and Neuroscience No. 2011 (2011), pp.1-10.
https://search.emarefa.net/detail/BIM-487971
American Medical Association (AMA)
Mannini, Andrea& Sabatini, Angelo Maria. Accelerometry-Based Classification of Human Activities Using Markov Modeling. Computational Intelligence and Neuroscience. 2011. Vol. 2011, no. 2011, pp.1-10.
https://search.emarefa.net/detail/BIM-487971
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-487971