2011
DOI: 10.1088/0967-3334/32/12/008
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A stepwise validation of a wearable system for estimating energy expenditure in field-based research

Abstract: Regular physical activity (PA) is an important contributor to a healthy lifestyle. Currently, standard sensor-based methods to assess PA in field-based research rely on a single accelerometer mounted near the body's center of mass. This paper introduces a wearable system that estimates energy expenditure (EE) based on seven recognized activity types. The system was developed with data from 32 healthy subjects and consists of a chest mounted heart rate belt and two accelerometers attached to a thigh and dominan… Show more

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Cited by 26 publications
(30 citation statements)
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“…2) Others, extended the single model approach, performing activity recognition over a pre-defined set of activities, and then applying di↵erent methods to predict EE [6,2,21,17,20] (activity-specific models).…”
Section: Machine Learning-based Modelsmentioning
confidence: 99%
See 1 more Smart Citation
“…2) Others, extended the single model approach, performing activity recognition over a pre-defined set of activities, and then applying di↵erent methods to predict EE [6,2,21,17,20] (activity-specific models).…”
Section: Machine Learning-based Modelsmentioning
confidence: 99%
“…However, important limitations on previous studies are impairing our understanding of the role of physiological signals in PA assessment. While the relation between HR and EE has been covered in literature, only recently HR has been introduced in activity-specific models to improve EE estimation accuracy during moderate to intense activities [2,17]. Other signals (e.g.…”
Section: Introductionmentioning
confidence: 99%
“…The different activity groups are subsequently used to train an activity classification algorithm. Each activity is mapped to an activity-specific model, used to derive EE [3][4][5][6][7]. Up to now, the problem of clustering activities has often been approached using expert knowledge: researchers manually grouped different activities into clusters.…”
Section: B Automated Activity Clusteringmentioning
confidence: 99%
“…Recent work showed that activity type can be detected with wearable ACC, enabling more precise, activity-specific EE estimation [2]. A few activity-specific algorithms have been reported [3][4][5][6][7]. Activity-specific algorithms first recognize activities, and then apply an activity-specific model for EE estimation.…”
Section: Introduction and Related Workmentioning
confidence: 99%
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