Gesture detection and recognition

Patent metadata

Field	Value
Publication number	US-9619035-B2
Application number	US-201113040487-A
Country	US
Kind code	B2
Filing date	Mar 4, 2011
Priority date	Mar 4, 2011
Publication date	Apr 11, 2017
Grant date	Apr 11, 2017

Abstract

A gesture detection and recognition technique is described. In one example, a sequence of data items relating to the motion of a gesturing user is received. A selected set of data items from the sequence are tested against pre-learned threshold values, to determine a probability of the sequence representing a certain gesture. If the probability is greater than a predetermined value, then the gesture is detected, and an action taken. In examples, the tests are performed by a trained decision tree classifier. In another example, the sequence of data items can be compared to pre-learned templates, and the similarity between them determined. If the similarity for a template exceeds a threshold, a likelihood value associated with a future time for a gesture associated with that template is updated. Then, when the future time is reached, the gesture is detected if the likelihood value is greater than a predefined value.

First claim

The invention claimed is:

1. A computer-implemented method of gesture detection, comprising:
receiving a sequence of data items relating to motion of a gesturing user as captured by one or more image capture devices;
testing, by a hardware processor of a computing device, a plurality of selected data items from the sequence against predefined threshold values to determine a probability of the sequence representing a gesture, testing comprising:
applying the sequence to a traine…

Assignees

• Nowozin Sebastian
• Kohli Pushmeet
• Shotton Jamie Daniel Joseph
• Microsoft Technology Licensing Llc

Inventors

• Nowozin Sebastian
• Kohli Pushmeet
• Shotton Jamie Daniel Joseph

Classifications

• G06F3/017 Primary

  Physics · mapped topic

• G06K9/00342

  Physics · mapped topic

• G06V40/23

  Physics · mapped topic