2022/11/03 by Aurora Polo-Rodríguez, Polo-Rodriguez, Aurora, Javier Medina-Quero +1
Computer Science · Engineering · #Artificial Intelligence (cs.AI) #Context-Aware Activity Recognition Systems #FOS: Computer and information sciences #FOS: Electrical engineering #I.2.4 #I.2.6 #Indoor and Outdoor Localization Technologies #J.3 #Signal Processing (eess.SP) #electronic engineering #information engineering
paper · pdf · doi:10.48550/arxiv.2211.10355
openalex publication_date 2022/11/03 · openalex created_date 2022/11/28 · openalex updated_date 2026/07/28
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.