Skip to main content

Table 5 Results of the stride segmentation performance, for the free-living dataset. All values are given as mean ± std across the 28 subjects, over all strides per day, per patient

From: Hidden Markov Model based stride segmentation on unsupervised free-living gait data in Parkinson’s disease patients

Method

Precision [%]

Recall [%]

F1-Score [%]

DTW

\(87.2 \pm 8.4\)

\(83.3 \pm 10.1\)

\(85.1 \pm 9.0\)

\(\hbox {HMM}_{\mathrm{lab}}\)

\(89.4 \pm 5.6\)

\(95.2 \pm 3.0\)

\(92.2 \pm 4.2\)

\(\hbox {HMM}_{\mathrm{free}\hbox {-}\mathrm{living}}\)

\(89.4 \pm 5.7\)

\(95.6 \pm 2.8\)

\(92.4 \pm 4.1\)