A method for 3D gesture behavior recognition is disclosed, which includes detecting a behavior change of one or more attendees at a meeting and/or conference; classifying the behavior change; and performing an action based on the behavior change of the one or more attendees. Another method, system and computer readable medium for 3D gesture behavior recognition as disclosed, includes obtaining temporal segmentation of human motion sequences for one or more attendees; determining a probability density function of the temporal segmentations of the human motion sequences using a Parzen window density estimation model; computing a bandwidth for determination of a median absolute deviation; updating the Parzen window to adapt for changes in the motion sequences for the one or more attendees; and detecting actions based.
METHOD AND SYSTEM FOR 3D GESTURE BEHAVIOR RECOGNITION