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Cited by 55 publications
(34 citation statements)
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“…All of the NRMSE (%) values were below 10% (except for ankle moment in 272 counter movement jump with NRMSE =14.6%). Compared to their study, the present three-layer FFANN had higher 273 prediction errors since it was trained based on a smaller data base (three subjects instead of nine subjects) included (Table 2.A and Table 4.A).Two previous studies by (Liu et al, 2009) and (Favre et 277 al., 2012) supported this idea that a three-layer FFANN trained based on inter-subject data space is sufficient to 278 predict joint moments using force plate data. This paper proposed that a generic WNN is also capable, and more…”
mentioning
confidence: 72%
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“…All of the NRMSE (%) values were below 10% (except for ankle moment in 272 counter movement jump with NRMSE =14.6%). Compared to their study, the present three-layer FFANN had higher 273 prediction errors since it was trained based on a smaller data base (three subjects instead of nine subjects) included (Table 2.A and Table 4.A).Two previous studies by (Liu et al, 2009) and (Favre et 277 al., 2012) supported this idea that a three-layer FFANN trained based on inter-subject data space is sufficient to 278 predict joint moments using force plate data. This paper proposed that a generic WNN is also capable, and more…”
mentioning
confidence: 72%
“…However this study predicted only net knee flexion extension torque and did not predict other lower extremity joint moments. Liu et al, presented a FFANN to predict lower extremity joint torques in the sagittal plane using GRFs and related parameters measured during vertical jumping (Liu et al, 2009). This study also predicted ankle, knee and hip joint moments only in the sagittal plane for vertical jump.…”
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confidence: 99%
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“…In walking, good correlations were achieved in [3] (0.991) and in [4] (0.999), when vertical GRFs were predicted. In [18], joint torques based on the GRF parameters during jumping were predicted and good correlations were obtained (over 0.950). Differences in the correlation values obtained in the current study and in the previous studies might be explained by different movement tasks, experimental arrangements, and predicted parameters.…”
Section: Discussionmentioning
confidence: 98%
“…Some previous studies have focused on lower limb load prediction in walking [3][4] and jumping [18]. In walking, good correlations were achieved in [3] (0.991) and in [4] (0.999), when vertical GRFs were predicted.…”
Section: Discussionmentioning
confidence: 99%