Small body-fixed movement sensors allow for accurate detection of the type of physical activity but often do not meet the feasibility requirements for epidemiological research. This study was established to develop an initial algorithm for physical activity type classification based on a single sensor location and to develop a multi-sensor system to serve as a gold standard for physical activity classification in future studies. 27 healthy adults between 18 and 55 years were recruited and self-paced daily life activities organised in nine daily life simulations investigated in and around the IMS-building. The total duration of the study visit was 3.5 hours. The participants wore 13 sensors (of which 10 were movement sensors, 2 were heart rate sensors, and 1 was SenseWear). Additionally, the participant was asked to continue wearing 8 sensors, until the next morning and to note down the travelling time, sleeping time, and sensor wearing time
Field work completed. Processing and analysis so far has resulted in publication. Further processing, methodological work and analysis is ongoing and this will facilitate publications relating to activity type classification work.
Unit led study with responsibility for data.
MRC core funded.