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Erschienen in:
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2016 | OriginalPaper | Buchkapitel

Terrain Recognition for Smart Wheelchair

verfasst von : Shamim Al Mamun, Ryota Suzuki, Antony Lam, Yoshinori Kobayashi, Yoshinori Kuno

Erschienen in: Intelligent Computing Methodologies

Verlag: Springer International Publishing

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Abstract

Research interest in robotic wheelchairs is driven in part by their potential for improving the independence and quality-of-life of persons with disabilities and the elderly. However the large majority of research to date has focused on indoor operations. In this paper, we aim to develop a smart wheelchair robot system that moves independently in outdoor terrain smoothly. To achive this, we propose a robotic wheelchair system that is able to classify the type of outdoor terrain according to their roughness for the comfort of the user and also control the wheelchair movements to avoid drop-off and watery areas on the road. An artificial neural network based classifier is constructed to classify the patterns and features extracted from the Laser Range Sensor (LRS) intensity and distance data. The overall classification accuracy is 97.24 % using extracted features from the intensity and distance data. These classification results can in turn be used to control the motor of the smart wheelchair.

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Vorheriges Kapitel Exploiting Twitter Moods to Boost Financial Trend Prediction Based on Deep Network Models
Nächstes Kapitel Research on Synergistic Selection Decision-Making of Manufacturing Enterprises and the Third Party Logistics in the Cluster Environment
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Metadaten
Titel
Terrain Recognition for Smart Wheelchair
verfasst von
Shamim Al Mamun
Ryota Suzuki
Antony Lam
Yoshinori Kobayashi
Yoshinori Kuno
Copyright-Jahr
2016
Buch
Intelligent Computing Methodologies

Print ISBN: 978-3-319-42296-1

Electronic ISBN: 978-3-319-42297-8

Copyright-Jahr: 2016

DOI
https://doi.org/10.1007/978-3-319-42297-8_43

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