2020
DOI: 10.48550/arxiv.2002.11503
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Wavelet-based Temporal Models of Human Activity for Anomaly Detection in Smart Robot-assisted Environments

Abstract: This paper presents a novel approach for temporal modelling of long-term human activities based on wavelet transforms. The model is applied to binary smart-home sensors to forecast their signals, which are used then as temporal priors to infer anomalies in office and Active & Assisted Living (AAL) scenarios. Such inference is performed by a new extension of Hybrid Markov Logic Networks (HMLNs) that merges different anomaly indicators, including activity levels detected by sensors, expert rules and the new temp… Show more

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