TY - GEN
T1 - Motion control of a powered wheelchair using eye gaze in unknown environments
AU - Ishizuka, Airi
AU - Yorozu, Ayanori
AU - Takahashi, Masaki
N1 - Funding Information:
*Research supported by JST CREST Grant Number JPMJCR14E3.
Funding Information:
ACKNOWLEDGMENT This study was supported by “A Framework PRINTEPS to Develop Practical Artificial Intelligence” of the Core Research for Evolutional Science and Technology (CREST) of the Japan Science and Technology Agency (JST) under Grant Number JPMJCR14E3.
Publisher Copyright:
© 2017 IEEE.
PY - 2018/2/7
Y1 - 2018/2/7
N2 - This paper describes the motion control system for a powered wheelchair using eye gaze in an unknown environment. Recently, new Human-Computer Interfaces (HCIs) that have replaced joysticks have been developed for a person with a disability of the upper body. In this paper, movement of the eyes is used as an HCI. The wheelchair control system proposed in this study aims to achieve an operation such that a passenger gazes towards the direction he or she wants to move in the unknown environment. This paper presents a system based on gaze detection and environment recognition that are integrated by the fuzzy set theory in real time. This motion control system can support safe and smooth movement of the wheelchair by automatically calculating its direction of motion and velocity, to avoid obstacles and move in the gaze direction of the passenger. The effectiveness of the proposed system is demonstrated through experiments in a real environment.
AB - This paper describes the motion control system for a powered wheelchair using eye gaze in an unknown environment. Recently, new Human-Computer Interfaces (HCIs) that have replaced joysticks have been developed for a person with a disability of the upper body. In this paper, movement of the eyes is used as an HCI. The wheelchair control system proposed in this study aims to achieve an operation such that a passenger gazes towards the direction he or she wants to move in the unknown environment. This paper presents a system based on gaze detection and environment recognition that are integrated by the fuzzy set theory in real time. This motion control system can support safe and smooth movement of the wheelchair by automatically calculating its direction of motion and velocity, to avoid obstacles and move in the gaze direction of the passenger. The effectiveness of the proposed system is demonstrated through experiments in a real environment.
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U2 - 10.1109/ASCC.2017.8287148
DO - 10.1109/ASCC.2017.8287148
M3 - Conference contribution
AN - SCOPUS:85047516674
T3 - 2017 Asian Control Conference, ASCC 2017
SP - 90
EP - 95
BT - 2017 Asian Control Conference, ASCC 2017
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2017 11th Asian Control Conference, ASCC 2017
Y2 - 17 December 2017 through 20 December 2017
ER -