Touch Classification

摘要

A method for touch classification includes obtaining frame data representative of a plurality of frames captured by a touch-sensitive device, analyzing the frame data to define a respective blob in each frame of the plurality of frames, the blobs being indicative of a touch event, computing a plurality of feature sets for the touch event, each feature set specifying properties of the respective blob in each frame of the plurality of frames, and determining a type of the touch event via machine learning classification configured to provide multiple non-bimodal classification scores based on the plurality of feature sets for the plurality of frames, each non-bimodal classification score being indicative of an ambiguity level in the machine learning classification.

主权项

1. A computer-implemented method comprising:
obtaining frame data representative of a plurality of frames captured by a touch-sensitive device; analyzing the frame data to define a respective blob in each frame of the plurality of frames, the blobs being indicative of an interaction with the touch-sensitive device; computing a respective feature set for each frame of the plurality of frames, each feature set specifying properties of the respective blob in each frame of the plurality of frames; and classifying the interaction as an intended touch event or an unintended touch event; wherein classifying the interaction comprises:
determining a respective plurality of classification scores for each frame via application of the respective feature set to a plurality of lookup tables;combining the plurality of classification scores for each frame to compute a frame-specific classification score; andaggregating the frame-specific classification scores across the plurality of frames.