This paper presents a new method for activity analysis of construction workers using inexpensive RGB+ depth sensors. This is an important task, as no current workforce assessment method can provide detailed and continuous information to help project managers identify bottlenecks affecting labor's productivity. Previous work using RGB-D images focuses on action recognition form short video sequences wherein only one action is represented within each video. Automating this analysis for long sequences of RGB-D
