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Assessing the utility of smart mobile phones in gait pattern analysis

Biomedical Sciences Research Institute Computer Science Research Institute Environmental Sciences Research Institute Nanotechnology & Advanced Materials Research Institute

Yang, Mingjing, Zheng, Huiru, Wang, Haiying, McClean, Sally and Harris, Nigel (2012) Assessing the utility of smart mobile phones in gait pattern analysis. Health and Technology, 2 (1). pp. 81-88. [Journal article]

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URL: http://dx.doi.org/10.1007/s12553-012-0021-8

DOI: doi:10.1007/s12553-012-0021-8

Abstract

This paper aims to study the feasibility of using asmart mobile phone with an embedded accelerometer in gaitpattern monitoring. The second motivation is to examine theimpact of the accelerometer sampling frequency on gait analysis.A mobile phone and a standalone accelerometer sensorwere simultaneously attached to subject’s lower back to recordwalking patterns. The degree of agreement between gait featuresderived from two devices was assessed in terms ofaverage error rate, normalised limits of agreement and intraclasscorrelation. Various agreement levels were observed forthree temporal features, three root mean square features, fiveregularity features and two symmetry features. The downsamplingdata were used to examine the impact of sampleintervals on the gait features. Eleven out of 13 features havenormalised mean difference less than 0.1 when sample intervalswere less than 50ms. To carry out a further evaluation, thefeatures derived from the downsampling gait data were usedto classify subjects with chronic pain and health subjects, anda classification accuracy of 90% was achieved. The resultsshowed that it is feasible and reliable to assess and monitorgait patterns based on spatio-temporal gait features derivedfrom smart mobile phones with an embedded accelerometer.

Item Type:Journal article
Faculties and Schools:Faculty of Computing & Engineering
Faculty of Computing & Engineering > School of Computing and Information Engineering
Faculty of Computing & Engineering > School of Computing and Mathematics
Research Institutes and Groups:Computer Science Research Institute
Computer Science Research Institute > Artificial Intelligence and Applications
Computer Science Research Institute > Information and Communication Engineering
Computer Science Research Institute > Smart Environments
ID Code:22292
Deposited By:Dr Huiru Zheng
Deposited On:22 May 2012 09:23
Last Modified:22 May 2012 09:23

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