Monitoring of Posture Allocations and Activities by a Shoe-Based Wearable Sensor
- 15 April 2010
- journal article
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Transactions on Biomedical Engineering
- Vol. 58 (4), 983-990
- https://doi.org/10.1109/tbme.2010.2046738
Abstract
Monitoring of posture allocations and activities enables accurate estimation of energy expenditure and may aid in obesity prevention and treatment. At present, accurate devices rely on multiple sensors distributed on the body and thus may be too obtrusive for everyday use. This paper presents a novel wearable sensor, which is capable of very accurate recognition of common postures and activities. The patterns of heel acceleration and plantar pressure uniquely characterize postures and typical activities while requiring minimal preprocessing and no feature extraction. The shoe sensor was tested in nine adults performing sitting and standing postures and while walking, running, stair ascent/descent and cycling. Support vector machines (SVMs) were used for classification. A fourfold validation of a six-class subject-independent group model showed 95.2% average accuracy of posture/activity classification on full sensor set and over 98% on optimized sensor set. Using a combination of acceleration/pressure also enabled a pronounced reduction of the sampling frequency (25 to 1 Hz) with out significant loss of accuracy (98% versus 93%). Subjects had shoe sizes (US) M9.5-11 and W7-9 and body mass index from 18.1 to 39.4 kg/m2 and thus suggesting that the device can be used by individuals with varying anthropometric characteristics.Keywords
This publication has 24 references indexed in Scilit:
- Accelerometers and pedometers: methodology and clinical applicationCurrent Opinion in Clinical Nutrition and Metabolic Care, 2007
- Classification of a known sequence of motions and postures from accelerometry data using adapted Gaussian mixture modelsPhysiological Measurement, 2006
- Activity Recognition and Monitoring Using Multiple Sensors on Different Body PositionsPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2006
- Activity Classification Using Realistic Data From Wearable SensorsIEEE Transactions on Information Technology in Biomedicine, 2006
- A Practical Approach to Recognizing Physical ActivitiesLecture Notes in Computer Science, 2006
- The Technology of Accelerometry-Based Activity Monitors: Current and FutureMedicine & Science in Sports & Exercise, 2005
- Analyzing features for activity recognitionPublished by Association for Computing Machinery (ACM) ,2005
- Wireless intelligent sensor network for autonomous structural health monitoringPublished by SPIE-Intl Soc Optical Eng ,2004
- Daily physical activity assessment: what is the importance of upper limb movements vs whole body movements?International Journal of Obesity, 2004
- Compendium of Physical Activities: an update of activity codes and MET intensitiesMedicine & Science in Sports & Exercise, 2000