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To improve the detection performance of activities, including falls, current research often:
Build system of multi-class classification, using the combined data of multiple sensor types, or
Build system of binary classification (falling or not falling), or
Build system of multi-class classification, using the data of a sensor
Martínez-Villaseñor et al collected and made public the UP-Fall dataset. They did many experiments to examine the performance of fall detection system based on variable data types.
They concluded, the best fall detection when combining the data of the three types of sensors IR+IMU+EEG.
However, their model has poor detection performance.
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