Fujitsu Leverages Deep Learning to Achieve World’s Most Accurate Recognition of Complex Actions and Behaviors Based on Skeleton Data

Fujitsu Laboratories Ltd. today announced the development of a technology that utilizes deep learning to recognize the positions and connections of adjacent joints in complex movements or behavior in which multiple joints move in tandem. This makes it possible to achieve greater accuracy in recognizing, for instance, when a person performs a task like removing objects from a box. This technology successfully achieved the world's highest accuracy (1) against the world standard benchmark (2) in the field of behavior recognition, with significant gains over the results achieved using conventional technologies, which don’t make use of information on neighboring joints.