A performance comparison of accelerometry-based step detection algorithms on a large, non-laboratory sample of healthy and mobility-impaired persons

Accelerometers are frequently used for activity assessment and as reference devices for counting steps. Their performance on healthy subjects' data is good, but there are doubts as to their applicability on elderly and mobility-impaired subjects. Furthermore, only few step detection algorithms...

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Vydané v:2008 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society Ročník 2008; s. 1319 - 1322
Hlavní autori: Marschollek, Michael, Goevercin, Mehmet, Wolf, Klaus-Hendrik, Song, Bianying, Gietzelt, Matthias, Haux, Reinhold, Steinhagen-Thiessen, Elisabeth
Médium: Konferenčný príspevok.. Journal Article
Jazyk:English
Vydavateľské údaje: United States IEEE 01.01.2008
Predmet:
Acceleration
Accelerometers
Accuracy
Activities of Daily Living
Adolescent
Adult
Aged
Aged, 80 and over
Algorithms
Autocorrelation
Child
Classification algorithms
Detection algorithms
elderly people
Error analysis
Frail Elderly
Geriatric Assessment - methods
Geriatrics
home monitoring
Humans
Legged locomotion
Middle Aged
Monitoring
Monitoring, Ambulatory - instrumentation
Monitoring, Ambulatory - methods
Older adults
step detection
triaxial accelerometry
Walking
wearable sensors
Young Adult
ISBN:9781424418145, 1424418143
ISSN:1094-687X, 1557-170X, 2375-7477
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Shrnutí:Accelerometers are frequently used for activity assessment and as reference devices for counting steps. Their performance on healthy subjects' data is good, but there are doubts as to their applicability on elderly and mobility-impaired subjects. Furthermore, only few step detection algorithms have been published so far, and their performance has not been evaluated on a large, non-laboratory sample. The aim of this paper is to compare the performance of four freely accessible accelerometry-based step detection algorithms in a non-laboratory setting. Two samples of healthy persons (n=140) and mobility-impaired, geriatric in-patients (n=10) wore a single triaxial accelerometer on a waist-belt during unconstrained walking. The relative error rate of the four algorithms on the two samples was compared with reference video recordings. All four algorithms show a fairly poor performance on healthy subjects' (8.4-30.8% relative error rate) and especially geriatric patients' data (28.1-62.1%). Among the tested ones, a simple autocorrelation algorithm works best on both data sets together. More complex algorithms might work better, and more research is needed to evaluate the accuracy of step detection methods on mobility-impaired subjects.
Bibliografia:ObjectType-Article-2
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ISBN:9781424418145
1424418143
ISSN:1094-687X
1557-170X
2375-7477
DOI:10.1109/IEMBS.2008.4649407