Our energy expenditure consists of basal metabolic rate, thermic effect of food, non-exercise activity energy expenditure and exercise energy expenditure. Basal metabolic rate is affected by body size, gender, age and some illnesses. A larger body expends more energy, and basal metabolic rate decreases while we age. Moreover, thermic effect of food is the energy expended to digest food, and is rather constant at 10% of total daily energy expenditure. During daily life we cannot considerably affect our basal metabolic rate and thermic effect of food directly with our behavior.
This blog post explains what technological differences in the Fibion device provide it considerably better starting point for accurate energy expenditure estimation than other devices on the market (be it consumer or research device). Moreover, we show the same in numbers based on a validation study.
We get asked often how Fibion can detect different activity types just with a device you wear in your pocket. We tell that it is based on a neural networks analysis that takes into consideration magnitude, frequency band and patterns of acceleration in three-dimensional space. Well, that doesn’t help too much if you don’t have mathematics and physics as a hobby, so here is a blog post that explains why Fibion detects different physical activities much more accurately than other physical activity sensors.
Work has traditionally been a significant part of our lives and our personal identity. Professions have been passed on from fathers to sons for generations, while physical labor and handcrafts have been highly valued. At the same time, physical labor has played a significant role in our daily energy expenditure. Think about how men used to work long hours in...