| Popis: |
The self-monitoring of physical activity (PA) is an effective supporting strategy for the adoption of active lifestyles. However, accurate predictions of the PA remain challenging in certain situations. In the present study, we developed a smart-home floor-vibration monitoring system able to quantify PA during housework activities. Ten subjects performed four different activities (sitting, ironing, cooking, and cleaning) in the Ocha-House, an independent experimental house with accelerometers installed on the floor. The floor vibrations were monitored and the PA was evaluated objectively using two Actigraph GT9X activity trackers (worn on the waist and the wrist, respectively). A data processing algorithm was designed to process the floor-vibration data, estimate the number of steps, and predict the volume of physical activity performed in the house. A good correlation was found between the quantity of floor vibrations measured by the Ocha-House and the objective evaluations of PA made by the waist-worn monitor (r=0.9, p |
