TY - GEN
T1 - Development of computer vision based obstacle detection and human tracking on smart wheelchair for disabled patient
AU - Utaminingrum, Fitri
AU - Fauzi, M. Ali
AU - Wihandika, Randy Cahya
AU - Adinugroho, Sigit
AU - Kurniawan, Tri Astoto
AU - Syauqy, Dahnial
AU - Sari, Yuita Arum
AU - Adikara, Putra Pandu
N1 - Publisher Copyright:
© 2017 IEEE.
PY - 2017/9/28
Y1 - 2017/9/28
N2 - People with physical disability such as quadriplegics may need a device which assist their mobility. Smart wheelchair is developed based on conventional wheelchair and is also generally equipped with sensors, cameras and computer based system as main processing unit to be able to perform specific algorithm for the intelligent capabilities. We develop smart wheelchair system that facilitates obstacle detection and human tracking based on computer vision. The experiment result of obstacle distance estimation using RANSAC showed lower average error, which is only 1.076 cm compared to linear regression which is 2.508 cm. The average accuracy of human guide detecting algorithm also showed acceptable result, which yield over 80% of accuracy.
AB - People with physical disability such as quadriplegics may need a device which assist their mobility. Smart wheelchair is developed based on conventional wheelchair and is also generally equipped with sensors, cameras and computer based system as main processing unit to be able to perform specific algorithm for the intelligent capabilities. We develop smart wheelchair system that facilitates obstacle detection and human tracking based on computer vision. The experiment result of obstacle distance estimation using RANSAC showed lower average error, which is only 1.076 cm compared to linear regression which is 2.508 cm. The average accuracy of human guide detecting algorithm also showed acceptable result, which yield over 80% of accuracy.
KW - Human tracking
KW - Obstacle detection
KW - Smart wheelchair
UR - https://www.scopus.com/pages/publications/85034863495
U2 - 10.1109/ISCBI.2017.8053533
DO - 10.1109/ISCBI.2017.8053533
M3 - Conference contribution
AN - SCOPUS:85034863495
T3 - 5th International Symposium on Computational and Business Intelligence, ISCBI 2017
SP - 1
EP - 5
BT - 5th International Symposium on Computational and Business Intelligence, ISCBI 2017
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 5th International Symposium on Computational and Business Intelligence, ISCBI 2017
Y2 - 11 August 2017 through 14 August 2017
ER -