This paper provides a description of the MediaEval 2019" Multimodal personal health lifelog data analysis". The purpose of this task is to develop approaches that process the environment data to obtain insights about personal wellbeing. Establishing the association between people’s wellbeing and properties of the surrounding environment which is vital for numerous research. Our task focuses on the internal associations of heterogeneous data. Participants are expected to process the mixed environment data (ep weather, air pollution, lifelog images, etc.) to tackle two challenging subtasks. The first one is to develop a hypothesis about the associations within the heterogeneous data and build a system that is able to correctly replace segments of data that have been removed. The second one is to develop approaches to automatically predict personal AQI (Air Quality Index) at specific positions and time durations.