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

Fujitsu 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 against the world standard benchmark 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.

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By leveraging this technology to perform checks of manufacturing procedures or unsafe behavior in public spaces, Fujitsu aims to contribute to significant improvements in public safety and in the work place, helping to deliver on the promise of a safer and more secure society for all. Fujitsu will present the details of this technology at the 25th International Conference on Pattern Recognition (ICPR 2020).

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