文章基本信息

标题：A Hybrid Approach to Recognising Activities of Daily Living from Object Use in the Home Environment
本地全文：下载
作者：Isibor Kennedy Ihianle ; Usman Naeem
期刊名称：Informatics
电子版ISSN：2227-9709
出版年度：2018
卷号：5
期号：1
页码：6
DOI：10.3390/informatics5010006
语种：English
出版社：MDPI Publishing
摘要：Accurate recognition of Activities of Daily Living (ADL) plays an important role in providing assistance and support to the elderly and cognitively impaired. Current knowledge-driven and ontology-based techniques model object concepts from assumptions and everyday common knowledge of object use for routine activities. Modelling activities from such information can lead to incorrect recognition of particular routine activities resulting in possible failure to detect abnormal activity trends. In cases where such prior knowledge are not available, such techniques become virtually unemployable. A significant step in the recognition of activities is the accurate discovery of the object usage for specific routine activities. This paper presents a hybrid framework for automatic consumption of sensor data and associating object usage to routine activities using Latent Dirichlet Allocation (LDA) topic modelling. This process enables the recognition of simple activities of daily living from object usage and interactions in the home environment. The evaluation of the proposed framework on the Kasteren and Ordonez datasets show that it yields better results compared to existing techniques.
关键词：activity recognition; topic model; ontology model; Latent Dirichlet Allocation activity recognition ; topic model ; ontology model ; Latent Dirichlet Allocation