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Floor vibration-based sensing provides an alternative approach for multiple occupant localization, enabling various smart building applications such as elderly care. Prior work mainly focuses on detecting onsets of individual footstep from overlapping signals for localization. However, the error rate is higher than that of single footsteps. In this work, we present a data quality-informed time-sequence approach for accurate multi-people localization. The intuition is that when signals overlap, the overlapping part of the signal has a lower SNR, which can be quantified and used as estimation confidence. We conducted real-world experiments to validate our data quality-informed approach for location estimation.

Data Quality-Informed Multiple Occupant Localization using Floor Vibration Sensing