  Nutritional assessment is key in order to make decisions about the nature and
cause of nutrition related health issues that affect an individual. The
systematic process of collecting and interpreting relevant nutrition
information, however, is still in its technological infancy. Despite
technological advances in storage and analysis of nutritional data, methods for
collecting data are largely unchanged over the past two decades. It is well
documented that these methods have issues that cause under-reporting.
Meanwhile, new developments in wearable biometric logging devices have seen
increased traction among individuals. This is sometimes referred to as the
Quantified Self movement. One part of this movement is the development of
technological means for objectively collecting nutritional data. Nutritional
assessment, however, is about to be heavily impacted by emerging computer
science technologies, and this survey provides an overview of promising
technology approaches supporting nutritional assessment. Both academic and
commercial systems are reviewed and categorized.
