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Multi-sensor Based Human Balance Analysis

  • Haichuan Ren
  • Zongxiao Yue
  • Yanhong LiuEmail author
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 11741)

Abstract

The human balance ability is investigated using a multi-sensor human balance assessment system. Based on the pressure sensor, the gyroscope, the accelerometer and the magnetometer, the quantitative perception of human balance under different postures is realized. The characteristics of human balance ability are extracted through time domain methods and a new hybrid feature extraction. The results demonstrate that the hybrid feature extraction method with the support vector machine method can effectively classify and evaluate the human balance ability under different postures.

Keywords

Human balance Multi-sensor Hybrid feature extraction Support Vector Machine 

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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.School of Electrical EngineeringZhengzhou UniversityZhengzhouChina

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