Generative Resident Separation and Multi-label Classification for Multi-person Activity Recognition

arXiv:2404.07245v1 Announce Type: new
Abstract: This paper presents two models to address the problem of multi-person activity recognition using ambient sensors in a home. The first model, Seq2Res, uses a sequence generation approach to separate sensor events from different residents. The second model, BiGRU+Q2L, uses a Query2Label multi-label classifier to predict multiple activities simultaneously. Performances of these models are compared to a state-of-the-art model in different experimental scenarios, using a state-of-the-art dataset of two residents in a home instrumented with …

abstract ambient arxiv classification classifier cs.ai cs.lg eess.sp events generative home paper person recognition sensor sensors type