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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 212))

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Abstract

In this paper, we present a footplant detection method by adaptive determining foot height threshold. In our method, we firstly divide one step into a number of stages, each stage has different types of constraints. Then adaptively electing foot height threshold according to motion type and the length \( l \) of the minimum constraint frame that designed by the user and the maximum error \( \varphi \) of \( l \) to determine which foot should be planted. Finally, we verify the effectiveness of our approach from the path offset error.

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Acknowledgments

This work is supported by the Program for Changjiang Scholars and Innovative Research Team in University(No.IRT1109), the Program for Liaoning Science and Technology Research in University (No.LS2010008), the Program for Liaoning Innovative Research Team in University(No.LT2011018), Natural Science Foundation of Liaoning Province (201102008), the Program for Liaoning Key Lab of Intelligent Information Processing and Network Technology in University and by “Liaoning BaiQianWan Talents Program (2010921010, 2011921009)”.

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Correspondence to Qiang Zhang .

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© 2013 Springer-Verlag Berlin Heidelberg

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Zhang, Q., Zhang, J., Zhou, D., Wei, X. (2013). Footplant Detection Based on Adjusting the Foot Height Threshold Automatically. In: Yin, Z., Pan, L., Fang, X. (eds) Proceedings of The Eighth International Conference on Bio-Inspired Computing: Theories and Applications (BIC-TA), 2013. Advances in Intelligent Systems and Computing, vol 212. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-37502-6_99

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  • DOI: https://doi.org/10.1007/978-3-642-37502-6_99

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-37501-9

  • Online ISBN: 978-3-642-37502-6

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