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Deep Sensing: Inertial and Ambient Sensing for Activity Context Recognition using Deep Convolutional Neural Networks

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Academic year: 2021

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Figure

Figure 1. Classical activity context recognition processes.
Figure 3. The baseline model with inertial sensing data.
Figure 5 illustrates the gyroscope sensor’s representation of the signals for the activity context  classes in 3D
Figure 8 illustrates the model for feature extraction from raw ambient and inertial sensing data,  where l and a represent the illumination and audio sensing signals as inputs in addition to the inertial  sensing data, denoted by
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