Our research focuses on Human Activity Recognition (HAR) in Lifelogging. The aim is to develop an automatic classification model for human activities, from multi-modal lifelog data – images, accelerometer and GPS data. The availability of one’s lifelog provides ground for building a rich user profile and hence basis for an advanced personal recommender system.