Notice of RetractionResearch on Insect Gait Pattern Classification Based on Image Feature Extraction

Notice of Retraction

After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.

We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.

The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.

In this paper, we design a centrifuge system which is based on high-speed image detecting of moving object, to test insect´s gait under different conditions. From the statistics of the result, we analysis classification regulation of insects gait mode, and the paper proposed an algorithm based on image feature extraction. Using for reference of achievements of human gait research, we define the insect gait angular vector and choose the method of image feature extraction. We design a BP neural network classifier, train it and experiment in the ants image-database which is built by ourselves, and the result validate the insect gait mode regulation. The classifier can distinguish ants gait effectively. The paper provides a new kind of method of research on insect gait, and lots of information to the control strategy on micro-biomimetic robots.