Method and system of temporal segmentation for gesture analysis

A system for recognizing gestures, comprising:

• a video camera for capturing at least one three-dimensional (3D) video stream of data on a subject;
• a module for extracting a time-series of skeletal data from the at least one 3D video stream of data;
• and
• a processor configured to:
• isolate a plurality of points of abrupt content change and identifying each of the plurality of points of abrupt content change as a temporal cut, and wherein a plurality of temporal cuts define a set of non-overlapping adjacent segments partitioning the time-series of skeletal data;
• identifying among the plurality of temporal cuts, temporal cuts of the time-series of skeletal data having a positive acceleration;
• classifying each of the one or more pair of consecutive cuts with the positive acceleration as a gesture boundary.

A non-transitory computer readable medium containing a computer program storing computer readable code for recognizing gestures, the program being executable by a computer to cause the computer to perform a process comprising:

• capturing at least one three-dimensional (3D) video stream of data on a subject;
• extracting a time-series of skeletal data from the at least one 3D video stream of data;
• isolating a plurality of points of abrupt content change and identifying each of the plurality of points of abrupt content change as a temporal cut, and wherein a plurality of temporal cuts define a set of non-overlapping adjacent segments partitioning the time-series of skeletal data;
• identifying among the plurality of temporal cuts, temporal cuts of the time-series of skeletal data having a positive acceleration;
• classifying each of the one or more pair of consecutive cuts with the positive acceleration as a gesture boundary.