f3c77b1750
- Implemented the WiFi DensePose model in PyTorch, including CSI phase processing, modality translation, and DensePose prediction heads. - Added a comprehensive training utility for the model, including loss functions and training steps. - Created a CSV file to document hardware specifications, architecture details, training parameters, performance metrics, and advantages of the model.
62 lines
4.4 KiB
CSV
62 lines
4.4 KiB
CSV
Category,Metric,Value,Unit,Description
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Hardware,WiFi_Transmitters,3,count,Number of WiFi transmitter antennas
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Hardware,WiFi_Receivers,3,count,Number of WiFi receiver antennas
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Hardware,Frequency_Range,2.4GHz ± 20MHz,frequency,Operating frequency range
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Hardware,Subcarriers,30,count,Number of subcarrier frequencies
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Hardware,Sampling_Rate,100,Hz,CSI data sampling rate
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Hardware,Total_Cost,30,USD,Hardware cost using TP-Link AC1750 routers
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Architecture,Input_Amplitude_Shape,150x3x3,tensor,CSI amplitude input dimensions
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Architecture,Input_Phase_Shape,150x3x3,tensor,CSI phase input dimensions
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Architecture,Output_Feature_Shape,3x720x1280,tensor,Spatial feature map dimensions
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Architecture,Body_Parts,24,count,Number of body parts detected
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Architecture,Keypoints,17,count,Number of keypoints tracked (COCO format)
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Training,Learning_Rate,0.001,rate,Initial learning rate
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Training,Batch_Size,16,count,Training batch size
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Training,Total_Iterations,145000,count,Total training iterations
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Training,Lambda_DensePose,0.6,weight,DensePose loss weight
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Training,Lambda_Keypoint,0.3,weight,Keypoint loss weight
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Training,Lambda_Transfer,0.1,weight,Transfer learning loss weight
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Performance,WiFi_Same_Layout_AP,43.5,AP,AP for WiFi_Same_Layout
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Performance,WiFi_Same_Layout_AP@50,87.2,AP,AP@50 for WiFi_Same_Layout
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Performance,WiFi_Same_Layout_AP@75,44.6,AP,AP@75 for WiFi_Same_Layout
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Performance,WiFi_Same_Layout_AP-m,38.1,AP,AP-m for WiFi_Same_Layout
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Performance,WiFi_Same_Layout_AP-l,46.4,AP,AP-l for WiFi_Same_Layout
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Performance,WiFi_Same_Layout_dpAP_GPS,45.3,AP,dpAP_GPS for WiFi_Same_Layout
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Performance,WiFi_Same_Layout_dpAP_GPS@50,79.3,AP,dpAP_GPS@50 for WiFi_Same_Layout
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Performance,WiFi_Same_Layout_dpAP_GPS@75,47.7,AP,dpAP_GPS@75 for WiFi_Same_Layout
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Performance,WiFi_Same_Layout_dpAP_GPSm,43.2,AP,dpAP_GPSm for WiFi_Same_Layout
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Performance,WiFi_Same_Layout_dpAP_GPSm@50,77.4,AP,dpAP_GPSm@50 for WiFi_Same_Layout
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Performance,WiFi_Same_Layout_dpAP_GPSm@75,45.5,AP,dpAP_GPSm@75 for WiFi_Same_Layout
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Performance,Image_Same_Layout_AP,84.7,AP,AP for Image_Same_Layout
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Performance,Image_Same_Layout_AP@50,94.4,AP,AP@50 for Image_Same_Layout
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Performance,Image_Same_Layout_AP@75,77.1,AP,AP@75 for Image_Same_Layout
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Performance,Image_Same_Layout_AP-m,70.3,AP,AP-m for Image_Same_Layout
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Performance,Image_Same_Layout_AP-l,83.8,AP,AP-l for Image_Same_Layout
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Performance,Image_Same_Layout_dpAP_GPS,81.8,AP,dpAP_GPS for Image_Same_Layout
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Performance,Image_Same_Layout_dpAP_GPS@50,93.7,AP,dpAP_GPS@50 for Image_Same_Layout
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Performance,Image_Same_Layout_dpAP_GPS@75,86.2,AP,dpAP_GPS@75 for Image_Same_Layout
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Performance,Image_Same_Layout_dpAP_GPSm,84.0,AP,dpAP_GPSm for Image_Same_Layout
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Performance,Image_Same_Layout_dpAP_GPSm@50,94.9,AP,dpAP_GPSm@50 for Image_Same_Layout
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Performance,Image_Same_Layout_dpAP_GPSm@75,86.8,AP,dpAP_GPSm@75 for Image_Same_Layout
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Performance,WiFi_Different_Layout_AP,27.3,AP,AP for WiFi_Different_Layout
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Performance,WiFi_Different_Layout_AP@50,51.8,AP,AP@50 for WiFi_Different_Layout
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Performance,WiFi_Different_Layout_AP@75,24.2,AP,AP@75 for WiFi_Different_Layout
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Performance,WiFi_Different_Layout_AP-m,22.1,AP,AP-m for WiFi_Different_Layout
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Performance,WiFi_Different_Layout_AP-l,28.6,AP,AP-l for WiFi_Different_Layout
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Performance,WiFi_Different_Layout_dpAP_GPS,25.4,AP,dpAP_GPS for WiFi_Different_Layout
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Performance,WiFi_Different_Layout_dpAP_GPS@50,50.2,AP,dpAP_GPS@50 for WiFi_Different_Layout
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Performance,WiFi_Different_Layout_dpAP_GPS@75,24.7,AP,dpAP_GPS@75 for WiFi_Different_Layout
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Performance,WiFi_Different_Layout_dpAP_GPSm,23.2,AP,dpAP_GPSm for WiFi_Different_Layout
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Performance,WiFi_Different_Layout_dpAP_GPSm@50,47.4,AP,dpAP_GPSm@50 for WiFi_Different_Layout
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Performance,WiFi_Different_Layout_dpAP_GPSm@75,26.5,AP,dpAP_GPSm@75 for WiFi_Different_Layout
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Ablation,Amplitude_Only_AP,39.5,AP,Performance with amplitude only
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Ablation,Plus_Phase_AP,40.3,AP,Performance adding phase information
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Ablation,Plus_Keypoints_AP,42.9,AP,Performance adding keypoint supervision
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Ablation,Final_Model_AP,43.5,AP,Performance with transfer learning
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Advantages,Through_Walls,Yes,boolean,Can detect through walls and obstacles
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Advantages,Privacy_Preserving,Yes,boolean,No visual recording required
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Advantages,Lighting_Independent,Yes,boolean,Works in complete darkness
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Advantages,Low_Cost,Yes,boolean,Uses standard WiFi equipment
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Advantages,Real_Time,Yes,boolean,Multiple frames per second
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Advantages,Multiple_People,Yes,boolean,Can track multiple people simultaneously
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