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INRA
24, chemin de Borde Rouge –Auzeville – CS52627
31326 Castanet Tolosan CEDEX - France

Dernière mise à jour : Mai 2018

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Human Nutrition Unit

Zone de texte éditable et éditée et rééditée

WellBeNet application

Analysis of human mobility, food choice and physiological/emotional feeling in free-living conditions

WellBeNet is an Android bilingual application developed by the Human Nutrition Research Unit of INRA, and available for download via the Play Store. It is composed of three parts: eMouve, NutriQuantic and EmoSens. eMouve assesses the duration of sedentary behaviors and of light-, moderate- and vigorous intensity activities and associated energy expenditure. NutriQuantic keeps track of the number of consumed portions in 12 food categories and assesses nutritional balance scores. EmoSens analyses the balance of emotions and of the eating/moving desire.

WellBeNet collects a vast amount of human behavioral data in free-living conditions that are stored in databases on the ActivCollector server (https://activcollector.clermont.inra.fr/). These data will be linked together to determine how feelings and behaviors influence each other. Moreover relationships between spontaneous behaviors and metabolism parameters will be explored. With time these data will be used to develop health prediction models and personalized behavioral recommendations to maintain good health.

Parameters:

Total recording (hh:mm:ss/day)
Mean intensity of physical activity (MET/min)
Duration of sedentary behavior (min and %)
Duration of light-intensity activities (min and %)
Duration of moderate-intensity activities (min and %)
Duration of vigorous-intensity activities (min and %)
Total energy expenditure (kcal or kJ/min)
Energy expenditure of sedentary behavior (kcal or kJ/min and %)
Energy expenditure of light-intensity activities (kcal or kJ/min and %)
Energy expenditure of moderate intensity activities (kcal or kJ/min and %)
Energy expenditure of vigorous intensity activities (kcal or kJ/min and %)
Date of food intakes (dd/mm/yy and hh/mm/ss)
Type of food intakes (breakfast, lunch, dinner, collation)
Frequency of food intakes (number/day)
Total frequency of serving (number/day)
Serving frequency by food category (number/day)
Overall score of recommendations achievement by week (number)
Weekly score of recommendations achievement by food category (number)
Weekly frequency of consumption site (number)
Weekly frequency of social context (number)
Evaluation of body mass index (silhouette)
Evaluation of emotional intensity (star and %)
Evaluation of eating and moving desire (number and %)

Contact: Sylvie Rousset

E-move