Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Continuous Hidden Markov Model for Pedestrian Activity Classification and Gait Analysis
KTH, School of Electrical Engineering (EES), Signal Processing. KTH, School of Electrical Engineering (EES), Centres, ACCESS Linnaeus Centre.
KTH, School of Electrical Engineering (EES), Sound and Image Processing.
KTH, School of Electrical Engineering (EES), Sound and Image Processing.
KTH, School of Electrical Engineering (EES), Signal Processing. KTH, School of Electrical Engineering (EES), Centres, ACCESS Linnaeus Centre.ORCID iD: 0000-0002-2718-0262
2013 (English)In: IEEE Transactions on Instrumentation and Measurement, ISSN 0018-9456, E-ISSN 1557-9662, Vol. 62, no 5, 1073-1083 p.Article in journal (Refereed) Published
Abstract [en]

This paper presents a method for pedestrian activity classification and gait analysis based on the microelectromechanical-systems inertial measurement unit (IMU). The work targets two groups of applications, including the following: 1) human activity classification and 2) joint human activity and gait-phase classification. In the latter case, the gait phase is defined as a substate of a specific gait cycle, i.e., the states of the body between the stance and swing phases. We model the pedestrian motion with a continuous hidden Markov model (HMM) in which the output density functions are assumed to be Gaussian mixture models. For the joint activity and gait-phase classification, motivated by the cyclical nature of the IMU measurements, each individual activity is modeled by a "circular HMM." For both the proposed classification methods, proper feature vectors are extracted from the IMU measurements. In this paper, we report the results of conducted experiments where the IMU was mounted on the humans' chests. This permits the potential application of the current study in camera-aided inertial navigation for positioning and personal assistance for future research works. Five classes of activity, including walking, running, going upstairs, going downstairs, and standing, are considered in the experiments. The performance of the proposed methods is illustrated in various ways, and as an objective measure, the confusion matrix is computed and reported. The achieved relative figure of merits using the collected data validates the reliability of the proposed methods for the desired applications.

Place, publisher, year, edition, pages
IEEE Press, 2013. Vol. 62, no 5, 1073-1083 p.
Keyword [en]
Inertial measurement unit, activity classification, gait analysis, hidden Markov model
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:kth:diva-107713DOI: 10.1109/TIM.2012.2236792ISI: 000317361500023Scopus ID: 2-s2.0-84876029345OAI: oai:DiVA.org:kth-107713DiVA: diva2:577736
Note

QC 20130114

Available from: 2013-04-12 Created: 2012-12-17 Last updated: 2017-12-06Bibliographically approved

Open Access in DiVA

fulltext(1568 kB)860 downloads
File information
File name FULLTEXT03.pdfFile size 1568 kBChecksum SHA-512
584afe6a6a0ee2d496da8473a7ac32f9b5b37154877e25bd7266faec36beba3c76e3e7b7db58d3eb73ada49e97a048151c5370d3765806902a6ea5933611d7df
Type fulltextMimetype application/pdf

Other links

Publisher's full textScopuspdfIEEEXplore

Search in DiVA

By author/editor
Panahandeh, GhazalehMohammadiha, NasserLeijon, ArneHändel, Peter
By organisation
Signal ProcessingACCESS Linnaeus CentreSound and Image Processing
In the same journal
IEEE Transactions on Instrumentation and Measurement
Electrical Engineering, Electronic Engineering, Information Engineering

Search outside of DiVA

GoogleGoogle Scholar
Total: 860 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

doi
urn-nbn

Altmetric score

doi
urn-nbn
Total: 700 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf