You can see sliding doors everywhere, be it at the grocery store or the hospital. These doors are today mostly based on naive, motion sensing, and hence not very intelligent in deciding to open or not. I propose a solution by replacing the traditional sensor with the more sophisticated Microsoft Kinect depth mapping sensor allowing for skeletal tracking and feature extraction. I have applied hidden markov models to the behavioural features to understand the human intentions. Combined with a few simple rules, this solution proved to be accurate in 4 out of 5 times in understanding the user's intention in a controlled laboratory test.