Activity identification using body-mounted sensors — a review of classification techniques
Preece, S, Goulermas, JY, Kenney, LPJ, Howard, D, Meijer, K and Crompton, R 2009, 'Activity identification using body-mounted sensors — a review of classification techniques' , Physiological Measurement, 30 , R1-R33.
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With the advent of miniaturized sensing technology, which can be body-worn, it is nowpossible to collect and store data on different aspects of human movement under the conditions of free living. This technology has the potential to be used in automated activity profiling systems which roduce a continuous record of activity patterns over extended periods of time. Such activity profiling systems are dependent on classification algorithms which can effectively interpret body-worn sensor data and identify different activities. This article reviews the different techniques which have been used to classify normal activities and/or identify falls from body-worn sensor data. The review is structured according to the different analytical techniques and illustrates the variety of approaches which have previously been applied in this field. Although significant progress has been made in this important area, there is still significant scope for further work, particularly in the application of advanced classification techniques to problems involving many different activities.
|Themes:||Subjects / Themes > R Medicine > RZ Other systems of medicine|
Health and Wellbeing
|Schools:||Colleges and Schools > College of Health & Social Care > School of Health Sciences > Centre for Health, Sport & Rehabilitation Sciences Research|
Colleges and Schools > College of Health & Social Care
Colleges and Schools > College of Health & Social Care > School of Health Sciences
Colleges and Schools > College of Science & Technology > School of Computing, Science and Engineering > CASE Control & Systems Engineering Research Centre
|Journal or Publication Title:||Physiological Measurement|
|Publisher:||Institute of Physics|
|Depositing User:||SJ Preece|
|Date Deposited:||21 Dec 2010 10:29|
|Last Modified:||20 Aug 2013 17:43|
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