Datasets:
frame_idx int64 0 22.8k | merged_sec float64 0 1.52k | wall_ms float64 1,785B 1,789B | in_keep_range bool 2
classes | label int64 -1 8 | label_name stringclasses 10
values | keypoints listlengths 51 51 |
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End of preview. Expand in Data Studio
WiFi CSI 9-Action Pose Dataset
Wi-Fi CSI (Channel State Information, ESP32-C6 / HT20) と、同時収録した映像への 姿勢推定 (COCO-17) から作った 9 状態行動ラベルの対応データセット。 収集・ラベリングのパイプラインは https://github.com/atanasuke/CsiPoseLab 。
CSI と姿勢/ラベルはサンプリング周波数が違うため (CSI は ping 周波数、姿勢は動画 fps)、
2 つの独立したテーブルに分けている。pc_ts_ms (CSI) と wall_ms (frames) は
どちらも実時刻の epoch ミリ秒なので、これで好きな粒度に紐付けられる。
raw_csi — 生の CSI パケット
CSV から振幅化・再標本化する前の、パケット単位の生データ。
| 列 | 型 | 内容 |
|---|---|---|
device_id |
string | 送信元 ESP32 の ID (例 REMOTE_90) |
pc_ts_ms |
float64 | 収録 PC が受信した実時刻 (epoch ミリ秒) |
seq |
int64 | ESP32 側の連番 |
rssi |
float32 | 受信強度 |
esp_ts_us |
float64 | ESP32 側のマイクロ秒カウンタ |
csi_real |
list<float32> | サブキャリアごとの実部 |
csi_imag |
list<float32> | サブキャリアごとの虚部 |
振幅は sqrt(csi_real**2 + csi_imag**2)。サブキャリア数は ESP32-C6 の HT20 で 64
(先頭の数本はガードバンドで常に 0)。
frames — 姿勢ラベルフレーム
姿勢推定 (YOLO-pose / ViTPose) を通したフレームごとに、9 状態ラベルと COCO-17 の 2D キーポイントを並べたもの。
| 列 | 型 | 内容 |
|---|---|---|
frame_idx |
int64 | プロジェクト内のフレーム番号 |
merged_sec |
float64 | マージ動画上の秒 |
wall_ms |
float64 | 実時刻 (epoch ミリ秒)。raw_csi.pc_ts_ms と同じ時間軸 |
in_keep_range |
bool | ラベリング時に採用区間として選ばれていたか |
label |
int64 | 9 状態ラベル (下表) |
label_name |
string | ラベル名 (日本語) |
keypoints |
list<float32>, 長さ 51 | COCO-17 キーポイントを x, y, conf の繰り返しで平坦化したもの (17 x 3) |
9 状態ラベル
| 値 | 名前 | 値 | 名前 | |
|---|---|---|---|---|
| 0 | 立ち (standing) | 5 | 座り→伏せ | |
| 1 | 立ち→座り | 6 | 伏せ (lying) | |
| 2 | 立ち→伏せ | 7 | 伏せ→座り | |
| 3 | 座り (sitting) | 8 | 伏せ→立ち | |
| 4 | 座り→立ち | -1 | 不明 (unknown) |
COCO-17 キーポイント順序
0 nose, 1 left_eye, 2 right_eye, 3 left_ear, 4 right_ear,
5 left_shoulder, 6 right_shoulder, 7 left_elbow, 8 right_elbow,
9 left_wrist, 10 right_wrist, 11 left_hip, 12 right_hip,
13 left_knee, 14 right_knee, 15 left_ankle, 16 right_ankle
keypoints[3*i:3*i+3] が i 番目の関節の (x, y, conf) (画素座標)。
conf がおよそ 0.3 未満の関節は「写っていない」扱いで良い。
ライセンス
MIT。収録・ラベリングにあたって特定の個人が識別可能な映像は配布に含めていない (配布しているのは CSI 数値と骨格座標のみ)。
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