scholarly journals Daily physical activity assessment: comparison between movement registration and doubly labeled water

1996 ◽  
Vol 81 (2) ◽  
pp. 1019-1026 ◽  
Author(s):  
C. V. Bouten ◽  
W. P. Verboeket-van de Venne ◽  
K. R. Westerterp ◽  
M. Verduin ◽  
J. D. Janssen
Keyword(s):  
Physical Activity ◽  
Metabolic Rate ◽  
Body Movement ◽  
Daily Physical Activity ◽  
Activity Level ◽  
Energy Estimates ◽  
Physical Activity Assessment ◽  
Doubly Labeled Water ◽  
Free Living ◽  
Activity Assessment

The use of movement registration for daily physical activity assessment was evaluated during a 7-day period in 30 free-living subjects. Body movement was registered with a Tracmor motion sensor consisting of a triaxial accelerometer and a data unit for on-line processing of accelerometer output over 1-min intervals. Average Tracmor output was correlated against four different energy estimates: 1) average daily metabolic rate (ADMR), determined with doubly labeled water; 2) ADMR-sleeping metabolic rate (SMR; determined in a respiration chamber); 3) (ADMR-SMR) per kilogram of body mass; and 4) the overall physical activity level (PAL = ADMR/SMR). The highest correlation was found for the relationship between Tracmor output and PAL (r = 0.58). After correction for Tracmor values arising from vibrations produced by transportation means, this correlation was improved to 0.73. There was no difference between Tracmor output and PAL in discriminating between overall activity levels with "low" (PAL < 1.60), "moderate" (1.60 < or = PAL < or = 1.85), and "high" (PAL > 1.85) intensity. It is concluded that the Tracmor can be used in free-living subjects to distinguish among interindividual as well as intraindividual levels of daily physical activity.

scholarly journals 3D-based visual physical activity assessment of children

2015 ◽  
Vol 1 (1) ◽  
pp. 462-465 ◽  
Author(s):  
S. Maile ◽  
S. Kobel ◽  
M. Munz ◽  
T. Engleder ◽  
J. M. Steinacker ◽  
...  
Keyword(s):  
Physical Activity ◽  
Contextual Information ◽  
Overweight And Obesity ◽  
Activity Level ◽  
Test Person ◽  
Health Concern ◽  
Physical Activity Assessment ◽  
Activity Levels ◽  
Activity Assessment ◽  
Acceleration Data

AbstractIn the last decades, an alarming rise in prevalence of childhood overweight and obesity has been observed which is partly attributed to a lack in physical activity and has started to become a public health concern. Therefore, the necessity for accurate physical activity assessment has become more and more apparent. Physical activity can be assessed objectively using accelerometers or combined devices. The application of such devices is sometimes complex and wearing the device may influence the behaviour of the test person. Therefore, assessment without any worn device would be an advantage.A RGB-D camera device captures motion of the test person in a specific measurement area. After reducing the data and subtraction of the voxel distance, an activity level can be calculated.The calculated activity level is similar to acceleration data of common monitoring devices. The calculated activity level is the sum of the person’s activity. Little activity with small movement can be differentiated from intense activity with large movement and high acceleration as well as no activity. The data can be structured in body-activity and limb-activity. Classifying those categories increases the benefit of this assessment compared to common accelerometers.With the RGB-D based assessment objective, contextual information of different physical activity levels can be provided. Physical activity assessment without a worn device offers advantages such as the lack of manipulation of the device and its positioning, also the person’s compliance is no issue influencing the assessment. The RGB-D based assessment is similar to acceleration data and can be converted into comparable data and units after calibration. For more specific assessments a validation with accelerometers and the calibration of the derived data is necessary.

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