Physical activity monitoring based on accelerometry: validation and comparison with video observation
- 1 May 1999
- journal article
- research article
- Published by Springer Nature in Medical & Biological Engineering & Computing
- Vol. 37 (3) , 304-308
- https://doi.org/10.1007/bf02513304
Abstract
The objective of this feasibility study is to evaluate the use of the ‘Physilog’ device, an ambulatory physical-activity recorder based on acceleration measurement, for the monitoring of daily physical activities. Accelerations measured at the level of the chest and the thigh are recorded by Physilog over a period of 1 h in five normal subjects. A specially designed studio-like room allowing the performance of most usual activities of everyday life is used. A video film synchronised with the Physilog is obtained for each subject to check the accuracy of the data derived from Physilog. Based on the analysis of the average and the deviation of the acceleration signal, an algorithm is developed to classify the activities in four categories, i.e. lying, sitting, standing and locomotion. Compared with the video observations, the results from the algorithm show an overall misclassification of 10.7%, which is mainly due to confusion between dynamic activities and the standing posture. In contrast, the misclassification between postures is negligible. It is concluded that Physilog can be used in the clinical setting for the reliable measurement and long-term recording of most-usual physical activities.Keywords
This publication has 9 references indexed in Scilit:
- Quantitation of lower physical activity in persons with multiple sclerosisMedicine & Science in Sports & Exercise, 1997
- Physical Activity Monitoring in Patients With Peripheral Arterial Occlusive DiseaseJournal of Cardiopulmonary Rehabilitation, 1997
- Detection of static and dynamic activities using uniaxial accelerometersIEEE Transactions on Rehabilitation Engineering, 1996
- Differences between Patientsʼ and Physiciansʼ Evaluations of Outcome after Total Hip Arthroplasty*Journal of Bone and Joint Surgery, 1996
- Estimation of speed and incline of walking using neural networkIEEE Transactions on Instrumentation and Measurement, 1995
- Incline, speed, and distance assessment during unconstrained walkingMedicine & Science in Sports & Exercise, 1995
- Development of an ambulatory physical activity memory device and its application for the categorization of actions in daily life.1995
- Automated physical activity monitoring: Validation and comparison with physiological and self‐report measuresPsychophysiology, 1993
- Simultaneous measurement of heart rate and body motion to quantitate physical activityMedicine & Science in Sports & Exercise, 1993