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Table 2 Comparison of the results for the three classifier method

From: Unsupervised machine-learning method for improving the performance of ambulatory fall-detection systems

Classifier Scheme

Ingroup Fall Sensitivity

(N = 140)

Outgroup Fall Sensitivity

(N = 85)

Routine ADL Specificity

(N = 450)

Exercise ADL Specificity

(N = 381)

ARBF

95.56%

92.94%

99.78%

96.06%

MLP

97.14%

95.29%

99.33%

95.28%

Ensemble MLP + ARBF

98.57%

97.65%

99.56%

96.85%