Marc Weitz
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View article: Changes in accelerometer-measured physical activity and self-reported leisure time physical activity from adolescence to young adulthood: a longitudinal cohort study from the Fit Futures Study
Changes in accelerometer-measured physical activity and self-reported leisure time physical activity from adolescence to young adulthood: a longitudinal cohort study from the Fit Futures Study Open
Background Adolescence is associated with declining physical activity (PA) levels, and potential prevailing changes into young adulthood are indicated, but less explored. This study investigates longitudinal changes in PA from adolescence …
View article: Comparison of sedentary time calculated from count- and raw accelerometer data: The Tromsø Study
Comparison of sedentary time calculated from count- and raw accelerometer data: The Tromsø Study Open
Accelerometers have become a popular and indispensable tool to objectively measure various aspects of daily behavior. While physical activity can be estimated relatively easy, sedentary behavior requires reliable Time in Bed and non-wear t…
View article: Automatic time in bed detection from hip-worn accelerometers for large epidemiological studies: The Tromsø Study
Automatic time in bed detection from hip-worn accelerometers for large epidemiological studies: The Tromsø Study Open
Accelerometers are frequently used to assess physical activity in large epidemiological studies. They can monitor movement patterns and cycles over several days under free-living conditions and are usually either worn on the wrist or the h…
View article: pyndl: Naïve Discriminative Learning in Python
pyndl: Naïve Discriminative Learning in Python Open
The pyndl package implements Naïve Discriminative Learning (NDL) in Python. NDL is an incremental learning algorithm grounded in the principles of discrimination learning (Rescorla & Wagner, 1972; Widrow & Hoff, 1960) and motivated by anim…
View article: Automatic time in bed detection from hip-worn accelerometers for large epidemiological studies: The Tromsø Study
Automatic time in bed detection from hip-worn accelerometers for large epidemiological studies: The Tromsø Study Open
Accelerometers are frequently used to assess physical activity in large epidemiological studies. They can monitor movement patterns and cycles over several days under free-living conditions and are usually either worn on the wrist or the h…
View article: Pyndl: Naive discriminative learning in python
Pyndl: Naive discriminative learning in python Open
fixes encoding error in long description of setup.py a lot of small code improvements improvements in the maintenance code