Hugging Face's logo

ElementalDLC37
/
flashview-csi-fall-detection

Keras
Portuguese
English
wifi-csi
fall-detection
human-activity-recognition
tensorflow
cnn-lstm
esp32
edge-ai
tensorflowjs
Model card Files
xet
 Community
flashview-csi-fall-detection
File size: 3,794 Bytes
ac520a1
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
{
  "status": "medido",
  "generated_at": "2026-09-28T01-00-42Z",
  "export": "exports-20260928b",
  "verdict": "metrica honesta: divisao sem vazamento",
  "smoke_note": null,
  "config": {
    "window": 30,
    "step": 30,
    "normalize": "per-frame",
    "section": "LLTF",
    "target_features": 64,
    "epochs_run": 13,
    "class_weight": {
      "0": 0.695,
      "1": 1.78
    },
    "seed": 42,
    "split": "por-sessao",
    "split_note": "teste = sessoes ['f5b6b50a-1d69-496e-ac16-fdea576ab0c1']",
    "threshold_source": "treino (escolher no teste inflaria as metricas dependentes do limiar)"
  },
  "dataset": {
    "frames": 39690,
    "frames_outside_session": 1,
    "sessions_with_frames": 5,
    "windows": 1321,
    "windows_positive": 346,
    "events_fall": 128,
    "sessions_in_test": [
      "f5b6b50a-1d69-496e-ac16-fdea576ab0c1"
    ],
    "cadence": [
      {
        "session_id": "28e37e46-5abc-413b-adce-9b3cea57fbf0",
        "frames": 7472,
        "duration_s": 225.4,
        "dt_median_ms": 30.0,
        "dt_p10_ms": 27.0,
        "dt_p90_ms": 34.0,
        "fps": 33.3
      },
      {
        "session_id": "9861eb7a-0c1b-4b77-a28f-77408f835e3f",
        "frames": 2737,
        "duration_s": 82.6,
        "dt_median_ms": 30.0,
        "dt_p10_ms": 26.0,
        "dt_p90_ms": 34.0,
        "fps": 33.3
      },
      {
        "session_id": "b84fc321-e052-4973-ba8a-8771598a187f",
        "frames": 13603,
        "duration_s": 410.7,
        "dt_median_ms": 30.0,
        "dt_p10_ms": 26.0,
        "dt_p90_ms": 34.0,
        "fps": 33.3
      },
      {
        "session_id": "e0a8c177-830b-47f9-9456-a7aecf85f0f1",
        "frames": 1208,
        "duration_s": 38.9,
        "dt_median_ms": 30.0,
        "dt_p10_ms": 25.0,
        "dt_p90_ms": 35.0,
        "fps": 33.3
      },
      {
        "session_id": "f5b6b50a-1d69-496e-ac16-fdea576ab0c1",
        "frames": 14669,
        "duration_s": 442.8,
        "dt_median_ms": 30.0,
        "dt_p10_ms": 26.0,
        "dt_p90_ms": 34.0,
        "fps": 33.3
      }
    ]
  },
  "test": {
    "threshold": 0.36,
    "tp": 12,
    "fp": 44,
    "tn": 332,
    "fn": 100,
    "accuracy": 0.7049,
    "sensitivity": 0.1071,
    "specificity": 0.883,
    "precision": 0.2143,
    "f1": 0.1429,
    "balanced_accuracy": 0.4951,
    "auc_roc": 0.5196,
    "n_positives": 112,
    "n_negatives": 376,
    "false_positives_per_hour": 468.1
  },
  "train": {
    "threshold": 0.36,
    "tp": 195,
    "fp": 106,
    "tn": 493,
    "fn": 39,
    "accuracy": 0.8259,
    "sensitivity": 0.8333,
    "specificity": 0.823,
    "precision": 0.6478,
    "f1": 0.729,
    "balanced_accuracy": 0.8282,
    "auc_roc": 0.8858,
    "n_positives": 234,
    "n_negatives": 599
  },
  "loss_history": {
    "accuracy": [
      0.545,
      0.7767,
      0.8067,
      0.8187,
      0.8247,
      0.8451,
      0.8583,
      0.8715,
      0.8812,
      0.8944,
      0.904,
      0.9028,
      0.916
    ],
    "loss": [
      0.6151,
      0.535,
      0.4955,
      0.4453,
      0.4356,
      0.3983,
      0.3821,
      0.3507,
      0.3367,
      0.2871,
      0.2705,
      0.2521,
      0.2301
    ],
    "val_accuracy": [
      0.627,
      0.6947,
      0.7439,
      0.7316,
      0.7561,
      0.75,
      0.7541,
      0.7561,
      0.7623,
      0.7541,
      0.7561,
      0.7623,
      0.7623
    ],
    "val_loss": [
      0.7025,
      0.6335,
      0.5865,
      0.5836,
      0.5566,
      0.5696,
      0.617,
      0.6296,
      0.6623,
      0.6295,
      0.6569,
      0.7035,
      0.7257
    ],
    "learning_rate": [
      0.001,
      0.001,
      0.001,
      0.001,
      0.001,
      0.001,
      0.001,
      0.001,
      0.001,
      0.0005,
      0.0005,
      0.0005,
      0.0005
    ]
  }
}