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Discriminating sensor activation in activity recognition within multi-occupancy environments based on nearby interaction

2022-11-03 18:13:44
Aurora Polo-Rodriguez, Javier Medina-Quero

Abstract

This work presents a computer model to discriminate sensor activation in multi-occupancy environments based on proximity interaction. Current proximity-based and indoor location methods allow the estimation of the positions or areas where inhabitants carry out their daily human activities. The spatial-temporal relation between location and sensor activations is described in this work to generate a sensor interaction matrix for each inhabitant. This enables the use of classical HAR models to reduce the complexity of the multi-occupancy problem. A case study deployed with UWB and binary sensors is presented.

Abstract (translated)

URL

https://arxiv.org/abs/2211.10355

PDF

https://arxiv.org/pdf/2211.10355.pdf


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