Method and system for symmetric recognition of handed activities

A method performed by an activity recognition system, the method comprising:

• transforming activity data that is generated by a capture device using a symmetric transformation;
• classifying a given activity based on an analysis of the activity data and then outputting a first activity class for the given activity;
• flipping the first activity class using a transformation that corresponds to the symmetric transformation, so as to produce a second activity class;
• and
• outputting a predicted activity class for the given activity based on which of the first and second activity classes is dominant.

An activity recognition system comprising:

• a first module that is configured to transform activity data generated by a capture device using a symmetric transformation;
• a second module that is configured to classify, based on an analysis of the activity data, a given activity by outputting a first series of class probabilities;
• a third module that is configured to flip the first series of class probabilities using a transformation that corresponds to the symmetric transformation, so as to produce a second series of class probabilities;
• and
• a fourth module that is configured to output either:
• (i) a most probable activity class, as determined based on the first and second series of class probabilities, or
• (ii) a combined set of class probabilities, as determined based on the first and second series of class probabilities.