title: Towards a light-weight query engine for accessing health sensor data in a fall prevention system.
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.
authors.affiliation: AIT Austrian Institute of Technology GmbH.
authors.forename: Karl
authors.initials: K
authors.lastname: Kreiner
authors.affiliation: AIT Austrian Institute of Technology GmbH.
authors.forename: Christian
authors.initials: C
authors.lastname: Gossy
authors.affiliation: AIT Austrian Institute of Technology GmbH.
authors.forename: Mario
authors.initials: M
authors.lastname: Drobics
mesh_terms: D000058:Accidental Falls / Q000517:prevention & control*; D056044:Actigraphy / Q000379:methods*; D000328:Adult; D000465:Algorithms; D057225:Data Mining / Q000379:methods*; D003628:Database Management Systems; D016208:Databases, Factual; D057286:Electronic Health Records / Q000145:classification*; D006801:Humans; D008297:Male; D009323:Natural Language Processing; D012984:Software; D014584:User-Computer Interface; D018875:Vocabulary, Controlled