Automatic detection of spoon in Ambient Assisted Living using RGBD camera

recent studies have shown a huge and steady increase in elderly population, which eventually becomes a predominant aspect of our society. As such, effective solutions that is not costly for this aspect is needed. Recently, a lot of work has been conducted on Ambient Assisted Living (AAL) which focuses on elderly peoples need. Ambient Intelligence technologies are widely researched on and developed, aiming to build a safe environment and help them to maintain independent lifestyle for elderly people. However, AAL is still a growing area with a few fundamental issues which remain open and yet to be solved. We believe these features are essential towards having effective AAL service which can help elderly. This paper proposes a novel way of combining different techniques to detect dining utensil i.e. spoon, while eating at a dining table with the help of Kinect and other tools. We detect spoon by combining different shapes which produces high accuracy.