Earticle

초록

영어

The purpose of this study was to verify classification performance and the difference analysis between gender using optimal warping paths of dynamic time warping (DTW) and to examine the usefulness of root mean square error (RMSE) represented by the perpendicular distance from the optimal warping path to the diagonal. A 3-dimensional motion analysis experiment was performed with 24 healthy adults (male=12, female=12) in their 20s of age without gait-related diseases or injuries for the past 6 months to collect gait data. This study performed a DTW 132 times in total (male=62, female=62) for the flexion angle of the right leg’s hip, knee, and ankle joints. Then, the global cost and the RMSE of the optimal warping paths were calculated and normalized. The differ-ence analysis was performed by independent t-test. Machine learning was performed to test the classification performance using the neural network, support vector machine, and logistic regression model among the supervised models. Results analyzed using global cost and RMSE for hip, knee, and ankle joints showed a statistically significant differ-ence between genders in global cost and RMSE for hip and knee joints but not for ankle joints using RMSE. Considering both area under the receiver operating characteristic curve and F1-score, the logistic re-gression model has been evaluated as the most suitable for gender classification using the global cost or RMSE. This study demonstrated that optimal warping paths could be used for statistical difference anal-ysis and classification analysis.

목차

Abstract
INTRODUCTION
MATERIALS AND METHODS
Participants and 3-dimensional motion analysis experiment
Analysis methods
RESULTS
DISCUSSION
CONFLICT OF INTEREST
ACKNOWLEDGMENTS
REFERENCES

키워드

저자

• Hyun-Seob Lee [ Department of Physical Education, Graduate School of Education, Korea University, Seoul, Korea ] Corresponding author

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  JER [Journal of Exercise Rehabilitation]

• 간기

  격월간

• pISSN

  2288-176X

• eISSN

  2288-1778

• 수록기간

  2013~2026

• 등재여부

  SCOPUS,KCI 등재

• 십진분류

  KDC 517 DDC 613