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Human activity recognition using multisensor data fusion based on Reservoir Computing

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Figure

Fig. 1. The Activity Recognition multisensor processing chain.
Fig. 3. A sample output sequence of the sensor data processing block.
Figure 5 shows the magnitude plot of one of the test made in the laboratory. Setting up a UFT of 2.74g and a LFT of 0.6g according to the results shown in [75], all the tests made were correctly recognized as falling activity
Fig. 4. Structure of the decision tree fusion mechanism.
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