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Liornis
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fog-dataset

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Time int64	AccV float64	AccML float64	AccAP float64	Valid bool
0	1.142187	-0.045526	-0.066674	true
1	1.120325	-0.072388	-0.092086	true
2	1.079833	-0.097611	-0.122748	true
3	1.030865	-0.120877	-0.138543	true
4	0.983137	-0.14732	-0.15745	true
5	0.932101	-0.169791	-0.173609	true
6	0.887496	-0.178265	-0.175712	true
7	0.853382	-0.178977	-0.182214	true
8	0.822064	-0.1732	-0.192457	true
9	0.801904	-0.172049	-0.196504	true
10	0.804633	-0.183335	-0.190906	true
11	0.847221	-0.193146	-0.178569	true
12	0.889023	-0.198151	-0.167588	true
13	0.912085	-0.197675	-0.145569	true
14	0.926627	-0.190549	-0.125321	true
15	0.950008	-0.191766	-0.111544	true
16	0.969531	-0.20281	-0.105636	true
17	0.983923	-0.220259	-0.097966	true
18	0.986816	-0.244192	-0.09006	true
19	0.989622	-0.256969	-0.086053	true
20	1.000619	-0.25599	-0.079874	true
21	1.007832	-0.249296	-0.070422	true
22	1.010346	-0.249075	-0.067414	true
23	1.0058	-0.249819	-0.071087	true
24	0.998474	-0.250372	-0.078542	true
25	0.987994	-0.249107	-0.085604	true
26	0.974151	-0.244207	-0.086669	true
27	0.960428	-0.241959	-0.085609	true
28	0.951853	-0.247215	-0.088455	true
29	0.949838	-0.257855	-0.091238	true
30	0.948975	-0.266428	-0.089113	true
31	0.945721	-0.275263	-0.087821	true
32	0.941871	-0.283753	-0.089388	true
33	0.937695	-0.290987	-0.089633	true
34	0.938142	-0.297722	-0.084229	true
35	0.941131	-0.305051	-0.075693	true
36	0.939488	-0.312028	-0.073414	true
37	0.938698	-0.31773	-0.067823	true
38	0.94097	-0.315493	-0.063593	true
39	0.940202	-0.302149	-0.06309	true
40	0.942798	-0.289404	-0.054611	true
41	0.949537	-0.27853	-0.048749	true
42	0.948494	-0.27013	-0.045237	true
43	0.949077	-0.26573	-0.039287	true
44	0.95225	-0.268256	-0.033985	true
45	0.9511	-0.273025	-0.030867	true
46	0.944142	-0.271338	-0.025691	true
47	0.928901	-0.263693	-0.014341	true
48	0.923523	-0.248657	-0.007558	true
49	0.925774	-0.230057	-0.002691	true
50	0.920415	-0.21635	-0.004658	true
51	0.919922	-0.210254	-0.011037	true
52	0.934242	-0.205071	-0.013614	true
53	0.948645	-0.202954	-0.005573	true
54	0.956321	-0.198846	-0.00493	true
55	0.961894	-0.192031	0.004091	true
56	0.966537	-0.192099	0.019551	true
57	0.975081	-0.203826	0.01689	true
58	0.987787	-0.217815	0.021679	true
59	0.999852	-0.227969	0.013273	true
60	1.017739	-0.233147	-0.008284	true
61	1.071375	-0.225065	-0.073145	true
62	1.191822	-0.182419	-0.149656	true
63	1.242647	-0.134042	-0.150866	true
64	1.168482	-0.165592	-0.120176	true
65	1.129728	-0.240853	-0.110115	true
66	1.161258	-0.24839	-0.114648	true
67	1.199453	-0.19143	-0.14549	true
68	1.157972	-0.167183	-0.141004	true
69	1.021297	-0.226726	-0.073296	true
70	0.947631	-0.296608	-0.01786	true
71	0.941124	-0.292721	-0.003281	true
72	0.9359	-0.225983	-0.029394	true
73	0.93047	-0.168127	-0.071537	true
74	0.906059	-0.125757	-0.115126	true
75	0.877486	-0.091543	-0.157687	true
76	0.875203	-0.064697	-0.199558	true
77	0.885856	-0.044593	-0.232831	true
78	0.886983	-0.032783	-0.262968	true
79	0.875073	-0.025032	-0.272877	true
80	0.87525	-0.022547	-0.262607	true
81	0.918327	-0.026894	-0.242747	true
82	0.953781	-0.059291	-0.23165	true
83	0.972456	-0.105706	-0.219864	true
84	1.004039	-0.151332	-0.202979	true
85	1.024861	-0.171452	-0.192362	true
86	1.028545	-0.167683	-0.176296	true
87	1.032077	-0.136201	-0.151275	true
88	1.038408	-0.115592	-0.130853	true
89	1.040132	-0.111958	-0.12026	true
90	1.04125	-0.107211	-0.109064	true
91	1.03106	-0.087934	-0.105354	true
92	1.011271	-0.078693	-0.104547	true
93	0.995992	-0.081575	-0.101574	true
94	0.986279	-0.094139	-0.100832	true
95	0.981253	-0.107263	-0.102543	true
96	0.974835	-0.119066	-0.101406	true
97	0.965495	-0.12663	-0.098357	true
98	0.958879	-0.129868	-0.096019	true
99	0.956137	-0.129473	-0.09617	true

End of preview.

FOG Dataset (FORGE)

Lower-back accelerometer (Axivity, 100 Hz, 3-axis) recordings for FOG research.

Split	Subdir	Role	Frame FOG prevalence
fogathome	fogathome	external_structured	0.313
dailyliving	fogathome_dailyliving	external_naturalistic	0.011
kaggle	kaggle_labeled	in_distribution	-

fogathome_dailyliving holds 309 h of naturalistic free-living recordings (11 patients, ~1.1% frame-level FOG). Used as the external naturalistic evaluation in FORGE.

Downloads last month: 1,852

Total file size:

79.5 GB