Challenges Providing Ground Truth for Pervasive Healthcare Systems

The rapid growth of data collected for training models to detect activities and changes in behavior and the adoption of wearables and smart devices are making the development of novel pervasive healthcare solutions possible. Training and validating these models so that they are able to interpret data and recognize one’s health status for a pervasive healthcare system require properly annotated training data. To address this problem, I discuss some of the open challenges on gathering quality health-related annotated data.