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Conference Paper Distance Correction System for Localization Based on Linear Regression and Smoothing in Ambient Intelligence Display
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Authors
Dae-Hee Kim, Jae-Hun Choi, Myung-Eun Lim, Soo-Jun Park
Issue Date
2008-08
Citation
International Conference of the IEEE Engineering in Medicine and Biology Society (EMBS) 2008, pp.1443-1446
Language
English
Type
Conference Paper
DOI
https://dx.doi.org/10.1109/iembs.2008.4649438
Project Code
08MC2500, Ubiquitous Health Monitoring Module and System Development, Park Seon Hee
Abstract
This paper suggests the method of correcting distance between an ambient intelligence display and a user based on linear regression and smoothing method, by which distance information of a user who approaches to the display can he accurately output even in an unanticipated condition using a passive infrared VIR) sensor and an ultrasonic device. The developed system consists of an ambient intelligence display and an ultrasonic transmitter, and a sensor gateway. Each module communicates with each other through RF (Radio frequency) communication. The ambient intelligence display includes an ultrasonic receiver and a PIR sensor for motion detection. In particular, this system selects and processes algorithms such as smoothing or linear regression for current input data processing dynamically through judgment process that is determined using the previous reliable data stored in a queue. In addition, we implemented GUI software with JAVA for real time location tracking and an ambient intelligence display.
KSP Keywords
Ambient Intelligence, Correction system, Data processing, Distance correction, Linear regression, Motion detection, PIR sensor, Passive infrared, Radio Frequency(RF), Real-Time, Sensor Gateway