The Use of Inertial Measurement Units for the Study of Free Living Environment Activity Assessment: A Literature Review.

作者: Sylvain Jung , Mona Michaud , Laurent Oudre , Eric Dorveaux , Louis Gorintin

DOI: 10.3390/S20195625

关键词: AccelerometerDuration (project management)Wearable computerUnits of measurementComputer scienceInertial frame of referenceHuman–computer interactionPhysical activityLiving environment

摘要: This article presents an overview of fifty-eight articles dedicated to the evaluation physical activity in free-living conditions using wearable motion sensors. review provides a comprehensive summary technical aspects linked sensors (types, number, body positions, and characteristics) as well deep discussion on protocols implemented (environment, duration, instructions, activities, annotation). Finally, it description comparison main algorithms processing tools used for assessing from raw signals.

参考文章(118)
Amy Papadopoulos, Nicolas Vivaldi, Cindy Crump, Christine Silvers, Differentiating Walking from other Activities of Daily Living in Older Adults Using Wrist-based Accelerometers. Current Aging Science. ,vol. 8, pp. 266- 275 ,(2015) , 10.2174/1874609808666150416121011
Fabien Massé, Roman R Gonzenbach, Arash Arami, Anisoara Paraschiv-Ionescu, Andreas R Luft, Kamiar Aminian, None, Improving activity recognition using a wearable barometric pressure sensor in mobility-impaired stroke patients Journal of Neuroengineering and Rehabilitation. ,vol. 12, pp. 72- 86 ,(2015) , 10.1186/S12984-015-0060-2
Scott E. Crouter, James R. Churilla, David R. Bassett, Estimating energy expenditure using accelerometers European Journal of Applied Physiology. ,vol. 98, pp. 601- 612 ,(2006) , 10.1007/S00421-006-0307-5
Jens Barth, Cacilia Oberndorfer, Patrick Kugler, Dominik Schuldhaus, Jurgen Winkler, Jochen Klucken, Bjorn Eskofier, Subsequence dynamic time warping as a method for robust step segmentation using gyroscope signals of daily life activities international conference of the ieee engineering in medicine and biology society. ,vol. 2013, pp. 6744- 6747 ,(2013) , 10.1109/EMBC.2013.6611104
YURI FEITO, DAVID R. BASSETT, DIXIE L. THOMPSON, Evaluation of activity monitors in controlled and free-living environments. Medicine and Science in Sports and Exercise. ,vol. 44, pp. 733- 741 ,(2012) , 10.1249/MSS.0B013E3182351913
Akihito Sugino, Yoshiaki Minakata, Masae Kanda, Keiichiro Akamatsu, Akira Koarai, Tsunahiko Hirano, Hisatoshi Sugiura, Kazuto Matsunaga, Masakazu Ichinose, Validation of a Compact Motion Sensor for the Measurement of Physical Activity in Patients with Chronic Obstructive Pulmonary Disease Respiration. ,vol. 83, pp. 300- 307 ,(2012) , 10.1159/000330046
Kinh Tran, Tu Le, Tien Dinh, A high-accuracy step counting algorithm for iPhones using accelerometer international symposium on signal processing and information technology. pp. 000213- 000217 ,(2012) , 10.1109/ISSPIT.2012.6621289
Lei Gao, A.K. Bourke, John Nelson, Evaluation of accelerometer based multi-sensor versus single-sensor activity recognition systems. Medical Engineering & Physics. ,vol. 36, pp. 779- 785 ,(2014) , 10.1016/J.MEDENGPHY.2014.02.012
Kate Lyden, Sarah Kozey Keadle, John Staudenmayer, Patty S Freedson, None, A method to estimate free-living active and sedentary behavior from an accelerometer. Medicine and Science in Sports and Exercise. ,vol. 46, pp. 386- 397 ,(2014) , 10.1249/MSS.0B013E3182A42A2D
James D. Frost, Triaxial Vector Accelerometry: A Method for Quantifying Tremor and Ataxia IEEE Transactions on Biomedical Engineering. ,vol. BME-25, pp. 17- 27 ,(1978) , 10.1109/TBME.1978.326372