Earticle

초록

영어

Detection of gait characteristics has found considerable interest in field of biomechanics and rehabilitation sciences. In this paper an approach for abnormal gait detection employing Discrete Fourier Transform (DFT) analysis has been presented. The joint angle characteristics in frequency domain have been analyzed and using the harmonic coefficient recognition for abnormal gait has been performed. The experimental results and analysis represent that the proposed algorithm based on DFT can not only reduce the gait data dimensionality effectively, but also lighten the computation cost, with a satisfactory distinction. In order to make the algorithm more generic, a Mean Square Error (MSE) analysis is also presented. Future work will be the expansion of the detection introduced in this system to include abnormality detection instead of just an abnormal or normal detection that would prove to be a valuable addition for use in a variety of applications, including unobtrusive clinical gait analysis, automated surveillance in addition to a variety of others.

목차

Abstract
 1. Introduction
 2. Method
  2.1 Data Collection
  2.2 Data Analysis
 3. Discussion
 4. Conclusion
 References

저자

• Ahmed Mostayed [ Dept. of Electrical Engineering, Kongju National University, South Korea ]
• Mohammad Mynuddin Gani Mazumder [ Dept. of Electrical Engineering, Kongju National University, South Korea ]
• Sikyung Kim [ Dept. of Electrical Engineering, Kongju National University, South Korea ]
• Se Jin Park [ Korean Research Institute of Standards and Science (KRISS) ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Hybrid Information Technology

• 간기

  격월간

• pISSN

  1738-9968

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605