TY - GEN
T1 - Stairs descent identification for smart wheelchair by using GLCM and learning vector quantization
AU - Satria, Ahmad Wali Satria Bahari Johan
AU - Fitri, Fitri Utaminingrum
AU - Timothy, Timothy K.Shih
N1 - Publisher Copyright:
© 2019 IEEE.
PY - 2019/8
Y1 - 2019/8
N2 - The smart wheelchair helps the activities of someone who has a physical disability. The smart wheelchair has several capabilities, one of these capabilities is detecting obstacles in the form of stairs descent. Where if they are not aware of the stairs descent, they can fall, it will be an effect injuring. Therefore this study aims to create a system that is able to detect stairs descent based on digital image and provide notifications. The system was built using the Gray Level Co-occurrence Matrix method as feature extraction and Learning Vector Quantization to classify the stairs descent based on the digital image. From the results of the tests that have been carried out using 200 training data and 40 test data obtained an accuracy rate of 92.5 The faster average computation time is 0.02779 (s) for detecting the stairs descent.
AB - The smart wheelchair helps the activities of someone who has a physical disability. The smart wheelchair has several capabilities, one of these capabilities is detecting obstacles in the form of stairs descent. Where if they are not aware of the stairs descent, they can fall, it will be an effect injuring. Therefore this study aims to create a system that is able to detect stairs descent based on digital image and provide notifications. The system was built using the Gray Level Co-occurrence Matrix method as feature extraction and Learning Vector Quantization to classify the stairs descent based on the digital image. From the results of the tests that have been carried out using 200 training data and 40 test data obtained an accuracy rate of 92.5 The faster average computation time is 0.02779 (s) for detecting the stairs descent.
KW - Gray level co-occurance matrix
KW - Learning vector quantization
KW - Smart wheelchair
UR - https://www.scopus.com/pages/publications/85083463164
U2 - 10.1109/Ubi-Media.2019.00021
DO - 10.1109/Ubi-Media.2019.00021
M3 - Conference contribution
AN - SCOPUS:85083463164
T3 - Proceedings - 2019 12th International Conference on Ubi-Media Computing, Ubi-Media 2019
SP - 64
EP - 68
BT - Proceedings - 2019 12th International Conference on Ubi-Media Computing, Ubi-Media 2019
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 12th International Conference on Ubi-Media Computing, Ubi-Media 2019
Y2 - 6 August 2019 through 9 August 2019
ER -