Work

Knowledge representation for a neuro-symbolic network in home care risk identification

Year: 2009

Type: conference-paper

Abstract: Risk identification in home care is a key issue in ambient assisted living today. This paper introduces a bionic approach to risk identification in home care based on simple, inexpensive and diverse sensors. Neuro-symbolic perception combines characteristics of neural and symbolic information processing. We represent knowledge relevant for home care as an ontology and apply this knowledge in a neuro-symbolic network to identify risks. A top-level ontology about the assisted living of elderly people is proposed as part of a use case for risk identification in home care.

Source: IEEE International Conference on Industrial Informatics (INDIN)

DOI: 10.1109/indin.2009.5195817

Authors: Nauman Qadeer, Rosemarie Velik, Gerhard Zucker, Harold Boley

Institutions: TU Wien, National Research Council Canada

Language: English

Topic: Context-Aware Activity Recognition Systems

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: green

OpenAlex ID: W2016162225

FWCI: 0.547

Cites: 11

Cited by: 14

Related to: 10