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. 2017 Jun 27;17(7):1513. doi: 10.3390/s17071513

Table 5.

Number, typology and duration of the samples in the datasets.

Dataset Number of Types of ADLs/Falls Number of Samples (ADLs/Falls) Duration of the Samples (s)
[Minimum–Maximum] Mean Median
DLR 15/1 1017 (961/56) [0.27–864.33] s 18.40 s 9.46 s
MobiFall 9/4 630 (342/288) [0.27–864.33] s 18.40 s 9.46 s
MobiAct 9/4 2526 (1879/647) [4.89–300.01] s 22.35 s 9.85 s
TST Fall detection 4/4 264 (132/132) [3.84–18.34] s 8.60 s 8.02 s
tFall Not typified/8 10,909 (9883/1026) 6 s (all samples) 6 s 6 s
UR Fall Detection 5/4 70 (40/30) [2.11–13.57] s 5.95 s 5.256 s
Cogent Labs 8/6 1968 (1520/448) [0.53–55.73] s 13.15 s 12.79 s
Project Gravity 7/12 117 (45/72) [9.00–86.00] s 27.53 s 23.00 s
Graz 10/4 2460 (2240/220) [0.18–961.23] s 12.67 s 4.32 s
UMAFall 8/3 531 (322/209) 15 s (all samples) 15 s 15 s
SisFall 19/15 4505 (2707/1798) [9.99–179.99] s 17.60 s 14.99 s
UniMiB SHAR 9/8 7013 (5314/1699) 1 s (all samples) 1 s 1 s