• Laser & Optoelectronics Progress
  • Vol. 56, Issue 21, 211503 (2019)
Zhuorong Li1, Kaixuan Wang1, Xinlong He1, Zhongliang Mi2, and Yunqi Tang1、*
Author Affiliations
  • 1School of Forensic Science, People's Public Security University of China, Beijing 100038, China
  • 2Shanghai Key Laboratory of Crime Scene Evidence, Shanghai 200083, China
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    DOI: 10.3788/LOP56.211503 Cite this Article Set citation alerts
    Zhuorong Li, Kaixuan Wang, Xinlong He, Zhongliang Mi, Yunqi Tang. Heel-Strike Event Detection Algorithm Based on Convolutional Neural Networks[J]. Laser & Optoelectronics Progress, 2019, 56(21): 211503 Copy Citation Text show less
    Gait events within a gait cycle
    Fig. 1. Gait events within a gait cycle
    Sample of 2-CSD-map
    Fig. 2. Sample of 2-CSD-map
    Algorithm for generating CSD-maps
    Fig. 3. Algorithm for generating CSD-maps
    Algorithm for normalization of CSD-maps
    Fig. 4. Algorithm for normalization of CSD-maps
    Frame work of process
    Fig. 5. Frame work of process
    Line chart of detection accuracy of n-CSD-maps
    Fig. 6. Line chart of detection accuracy of n-CSD-maps
    Line chart of detection accuracy of n-CSD-maps obtained by PCA+SVM algorithm
    Fig. 7. Line chart of detection accuracy of n-CSD-maps obtained by PCA+SVM algorithm
    Histogram comparison of detection accuracy of CNN and SVM algorithms
    Fig. 8. Histogram comparison of detection accuracy of CNN and SVM algorithms
    ROC curves of different angles. (a) 54°; (b) 72°; (c) 90°; (d) 108°; (e) 126°
    Fig. 9. ROC curves of different angles. (a) 54°; (b) 72°; (c) 90°; (d) 108°; (e) 126°
    ROC curves from all angles
    Fig. 10. ROC curves from all angles
    Angle54°72°90°108°126°
    54°72°90°108°126°0.94320.94040.93480.93300.92760.92920.95580.93720.92520.91040.92740.94480.96500.94860.90280.92880.94320.94960.95880.92680.92300.93360.94140.94560.9520
    Table 1. Confusion matrix when 6-CSD is used to obtain detection accuracy of cross angle
    Zhuorong Li, Kaixuan Wang, Xinlong He, Zhongliang Mi, Yunqi Tang. Heel-Strike Event Detection Algorithm Based on Convolutional Neural Networks[J]. Laser & Optoelectronics Progress, 2019, 56(21): 211503
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