Chest-Mounted Inertial Measurement Unit for Pedestrian Motion Classification Using Continuous Hidden Markov Model
2012 (English)In: 2012 IEEE International Instrumentation and Measurement Technology Conference (I2MTC), IEEE , 2012, 991-995 p.Conference paper, Presentation (Refereed)
This paper presents a method for pedestrian motionclassification based on MEMS inertial measurement unit (IMU)mounted on the chest. The choice of mounting the IMU on thechest provides the potential application of the current study incamera-aided inertial navigation for positioning and personalassistance. In the present work, five categories of the pedestrianmotion including standing, walking, running, going upstairs,and going down the stairs are considered in the classificationprocedure. As the classification method, the continuous hiddenMarkov model (HMM) is used in which the output densityfunctions are assumed to be Gaussian mixture models (GMMs).The correct recognition rates based on the experimental resultsare about 95%.
Place, publisher, year, edition, pages
IEEE , 2012. 991-995 p.
, IEEE Instrumentation and Measurement Technology Conference, ISSN 1091-5281
Accelerometers, Feature extraction, Gyroscopes, Hidden Markov models, Humans, Legged locomotion, Sensors
IdentifiersURN: urn:nbn:se:kth:diva-93961DOI: 10.1109/I2MTC.2012.6229380ISI: 000309449100187ScopusID: 2-s2.0-84864265177OAI: oai:DiVA.org:kth-93961DiVA: diva2:524623
2012 IEEE International Instrumentation and Measurement Technology Conference I2MTC, May 13-16, 2012, Graz, Austria
FunderICT - The Next Generation
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QC 201208232012-08-232012-05-032013-09-30Bibliographically approved