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Towards a light-weight query engine for accessing health sensor data in a fall prevention system.

Author information

1
AIT Austrian Institute of Technology GmbH.

Abstract

Connecting various sensors in sensor networks has become popular during the last decade. An important aspect next to storing and creating data is information access by domain experts, such as researchers, caretakers and physicians. In this work we present the design and prototypic implementation of a light-weight query engine using natural language processing for accessing health-related sensor data in a fall prevention system.

PMID:
25160350
[Indexed for MEDLINE]

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