WiFi DensePose: WiFi-based human pose estimation

from wifi_densepose import WiFiDensePose, Config

# Configure the system for real-time pose estimation
config = Config(
    sampling_rate=1000,  # 1kHz CSI sampling
    num_antennas=4,
    num_subcarriers=64,
    latency_target=50,   # Sub-50ms processing
    max_persons=10       # Multi-person tracking
)

# Initialize the WiFi DensePose system
pose_estimator = WiFiDensePose(config)

# Start pose estimation with CSI data
csi_data = get_wifi_csi_data()  # Your CSI data source
pose_results = pose_estimator.estimate_poses(csi_data)

# Access pose information
for person_id, pose in pose_results.items():
    print(f"Person {person_id}: {len(pose.keypoints)} keypoints detected")
    print(f"Confidence: {pose.confidence:.2f}")
    print(f"Activity: {pose.activity_type}")