An Indoor Room Classification System for Social Robots via Integration of CNN and ECOC

An Indoor Room Classification System for Social Robots via Integration of CNN and ECOC

The ability to classify rooms in a home is one of many attributes that are desired for social robots. In this paper, we address the problem of indoor room classification via several convolutional neural network (CNN) architectures, i.e., VGG16, VGG19, & Inception V3. The main objective is to...

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Bibliographic Details
Main Authors: Kamal M. Othman, Ahmad B. Rad
Format: Article
Language:English
Published: MDPI AG 2019-01-01
Series:Applied Sciences
Subjects:
social robots
NAO robot
room classification
convolutional neural network
multi-binary classifiers
ECOC
Online Access:https://www.mdpi.com/2076-3417/9/3/470

Internet

https://www.mdpi.com/2076-3417/9/3/470

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