0000000000780004

AUTHOR

Simon Kozina

showing 1 related works from this author

Fall Detection Using Location Sensors and Accelerometers

2015

The rapid aging of the world's population is driving the development of pervasive solutions for elder care. These solutions, which often involve fall detection with accelerometers, are accurate in laboratory conditions but can fail in some real-life situations. To overcome this, the authors present the Confidence system, which detects falls mainly with location sensors. A user wears one to four tags. By detecting tag locations with sensors, the system can recognize the user's activity, such as falling and then lying down afterward, as well as the context in terms of the location in the home. The authors used a scenario consisting of events difficult to recognize as falls or nonfalls to comp…

ta113education.field_of_studyContext modelUbiquitous computingaccelerometersaccuracyComputer sciencePopulationReal-time computingagingWearable computerContext (language use)ta3141accelerationAccelerometersensorsComputer Science ApplicationscontextComputational Theory and MathematicsFalling (sensation)educationLyingSoftwareSimulationsenior citizensIEEE Pervasive Computing
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