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For experiment, the speed of high-speed camera, Genie Nano, was set to 120 frames per second and its resolution to 640 by 480 pixels.
By using the high-speed camera, we acquired 300 initial motion data, including initial 3D position in meters, 3D linear velocity in meters per second, and 3D angular velocity in radians per second, for each activity. Then, we divided those motion data into 120 training data and 180 testing data.
For activity recognition, we used the deep neural network model with 3 layers and 10 nodes. The AdaGrad algorithm, of which the learning rate and epochs were set to 0.1 and 30, was used to train the deep neural network model. |
IEEE/ICACT20210124 Slide.11
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