A data table for all trials run in the second study
| Day | Input framerate (Hz) | Mean outputframe rate (Hz) | SD outputframe rate (Hz) | Mean delay(ms) | SD delay(ms) | Meanaccuracy | SDaccuracy | n |
|---|---|---|---|---|---|---|---|---|
| 1 | 200 | 65.00 | 0.53 | 37.00 | 10.30 | 0.99 | 0.00 | 21 |
| 2 | 200 | 66.70 | 18.26 | 39.50 | 10.81 | 0.94 | 0.01 | 20 |
| 3 | 200 | 66.05 | 0.65 | 29.69 | 7.01 | 0.90 | 0.04 | 24 |
| 4 | 200 | 65.89 | 0.57 | 31.03 | 7.50 | 0.95 | 0.02 | 24 |
| 5 | 200 | 65.76 | 0.54 | 30.96 | 8.34 | 0.95 | 0.03 | 21 |
Input frame rate, the streaming frame rate set in the software for our camera, representing the frame rate of the camera without any additional analyses; mean output frame rate, the mean number of frames per second processed by our system across all recordings at each input frame rate; SD output frame rate, the SD in the number of frames per second processed by our system across all recordings at each input frame rate; mean delay, the mean amount of time, in milliseconds, between the system receiving a frame that contains a left paw movement exceeding 5 pixels of vertical movement and the system sending a signal to the breakout board to trigger the LED to provide feedback for that movement; SD delay, the SD, in milliseconds, of the delay discussed above; mean accuracy, the mean output of the sigmoid function by TensorFlow for all body parts for all trials at each frame rate; SD accuracy, the SD of the output of the aforementioned sigmoid function; n, the number of trials recorded at each frame rate.