Table 6 Segmentation performance on the free-living dataset, grouped by the number of strides per walking bout. All values are given as mean ± std
N Strides per bout | Precision [%] | Recall [%] | F1-Score [%] | ||||||
|---|---|---|---|---|---|---|---|---|---|
DTW | HMM\(_{\mathrm{lab}}\) | \( \hbox {HMM}_{\mathrm{free}\hbox {-}\mathrm{living}}\) | DTW | HMM\(_{\mathrm{lab}}\) | \( \hbox {HMM}_{\mathrm{free}\hbox {-}\mathrm{living}}\) | DTW | HMM\(_{\mathrm{lab}}\) | \( \hbox {HMM}_{\mathrm{free}\hbox {-}\mathrm{living}}\) | |
\(4 \le \hbox {N} \le 15\) | \(69.2 \pm 10.2\) | \(75.7 \pm 4.5\) | \(75.5 \pm 4.5\) | \(59.6 \pm 12.4\) | \(92.7 \pm 3.7\) | \(93.2 \pm 3.7\) | \(63.5 \pm 10.2\) | \(83.3 \pm 3.7\) | \(83.4 \pm 3.8\) |
\(15 < \hbox {N} \le 30\) | \(85.5 \pm 8.9\) | \(88.2 \pm 4.7\) | \(88.7 \pm 4.7\) | \(80.5 \pm 10.4\) | \(94.1 \pm 3.3\) | \(94.7 \pm 3.3\) | \(82.8 \pm 9.1\) | \(91.1 \pm 3.8\) | \(91.6 \pm 3.5\) |
\(30 < \hbox {N} \le 50\) | \(90.8 \pm 5.1\) | \(92.7 \pm 4.2\) | \(92.6 \pm 4.2\) | \(88.6 \pm 7.9\) | \(95.0 \pm 3.7\) | \(95.5 \pm 3.7\) | \(89.6 \pm 6.1\) | \(93.8 \pm 3.7\) | \(94.0 \pm 3.6\) |
\(50 < \hbox {N} \le 100\) | \(93.9 \pm 3.8\) | \(95.7 \pm 2.8\) | \(95.9 \pm 2.8\) | \(91.8 \pm 5.7\) | \(96.2 \pm 2.5\) | \(96.5 \pm 2.5\) | \(92.8 \pm 4.6\) | \(95.9 \pm 2.4\) | \(96.2 \pm 2.0\) |
\(100 < \hbox {N} \le 200\) | \(95.1 \pm 3.6\) | \(96.3 \pm 3.0\) | \(96.4 \pm 3.0\) | \(92.8 \pm 5.1\) | \(95.8 \pm 2.9\) | \(96.1 \pm 2.9\) | \(93.9 \pm 4.2\) | \(96.0 \pm 2.9\) | \(96.2 \pm 3.0\) |
\(\hbox {N} > 200\) | \(97.9 \pm 2.2\) | \(98.4 \pm 1.8\) | \(98.7 \pm 1.8\) | \(96.4 \pm 4.0\) | \(97.4 \pm 2.6\) | \(97.8 \pm 2.6\) | \(97.2 \pm 3.0\) | \(97.9 \pm 2.1\) | \(98.2 \pm 1.7\) |