Literature DB >> 18002254

Estimating intensity of physical activity: a comparison of wearable accelerometer and gyro sensors and 3 sensor locations.

J Pärkkä1, M Ermes, K Antila, M van Gils, A Mänttäri, H Nieminen.   

Abstract

Automatic estimation of physical activity using wearable sensors can be used for promotion of a healthier lifestyle. In this study, accelerometers and gyroscopes attached to ankle, wrist and hip were used to estimate intensity of physical activity. The estimates are compared to metabolic equivalent (MET) obtained from a portable cardiopulmonary exercise testing system. Data from common everyday tasks and exercise were collected with 11 subjects. The tasks include, e.g., ironing, vacuuming, walking, running and cycling on exercise bicycle (ergometer). The strongest linear correlation with metabolic equivalent was obtained with the tri-axial accelerometer attached to the ankle (r=0.86).

Mesh:

Year:  2007        PMID: 18002254     DOI: 10.1109/IEMBS.2007.4352588

Source DB:  PubMed          Journal:  Annu Int Conf IEEE Eng Med Biol Soc        ISSN: 2375-7477


  8 in total

Review 1.  A review of signals used in sleep analysis.

Authors:  A Roebuck; V Monasterio; E Gederi; M Osipov; J Behar; A Malhotra; T Penzel; G D Clifford
Journal:  Physiol Meas       Date:  2013-12-17       Impact factor: 2.833

2.  Impact of study design on development and evaluation of an activity-type classifier.

Authors:  Vincent T van Hees; Rajna Golubic; Ulf Ekelund; Søren Brage
Journal:  J Appl Physiol (1985)       Date:  2013-02-21

Review 3.  A Review of Activity Trackers for Senior Citizens: Research Perspectives, Commercial Landscape and the Role of the Insurance Industry.

Authors:  Salvatore Tedesco; John Barton; Brendan O'Flynn
Journal:  Sensors (Basel)       Date:  2017-06-03       Impact factor: 3.576

4.  Variables influencing wearable sensor outcome estimates in individuals with stroke and incomplete spinal cord injury: a pilot investigation validating two research grade sensors.

Authors:  Chandrasekaran Jayaraman; Chaithanya Krishna Mummidisetty; Alannah Mannix-Slobig; Lori McGee Koch; Arun Jayaraman
Journal:  J Neuroeng Rehabil       Date:  2018-03-13       Impact factor: 4.262

5.  Moving through Life-Space Areas and Objectively Measured Physical Activity of Older People.

Authors:  Erja Portegijs; Li-Tang Tsai; Taina Rantanen; Merja Rantakokko
Journal:  PLoS One       Date:  2015-08-07       Impact factor: 3.240

6.  Fusion of smartphone motion sensors for physical activity recognition.

Authors:  Muhammad Shoaib; Stephan Bosch; Ozlem Durmaz Incel; Hans Scholten; Paul J M Havinga
Journal:  Sensors (Basel)       Date:  2014-06-10       Impact factor: 3.576

7.  Physical Activity Comparison Between Body Sides in Hemiparetic Patients Using Wearable Motion Sensors in Free-Living and Therapy: A Case Series.

Authors:  Adrian Derungs; Corina Schuster-Amft; Oliver Amft
Journal:  Front Bioeng Biotechnol       Date:  2018-10-17

Review 8.  Wearable-Based Affect Recognition-A Review.

Authors:  Philip Schmidt; Attila Reiss; Robert Dürichen; Kristof Van Laerhoven
Journal:  Sensors (Basel)       Date:  2019-09-20       Impact factor: 3.576

  8 in total

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