Adaptive implicit interaction for healthy nutrition and food intake supervision

Abstract

The current work is going to provide you information about our solution in the challenge of nutrition and food intake supervision, which has been developed lately. We will give an overview of the system and the implemented mechanisms, which were needed for aiding users in supervising and improving their eating habits. We will show the features, which may be useful for persons who want to analyze their eating habits and try to improve those. Therefore our system provides a cooking advisor, which is able to recognize the available food and respecting those presents the user a list of recipes, which fit his available ingredients and also his nutritional needs. If he wishes, he has also the possibility to set other filter parameters. Additionally the cooked menus are logged by the system and may be subject to further analyses. For determining the available ingredients our system uses RFID technology and also provides the user some community-like features for submitting new receipts or new ingredients. © 2011 Springer-Verlag.