Imperial College London
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Professor Aldo Faisal

Faculty of Engineering, Department of Bioengineering

Professor of AI & Neuroscience
 
 
 
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Contact

 

+44 (0)20 7594 6373a.faisal Website

 
 
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Assistant

 

Miss Teresa Ng +44 (0)20 7594 8300

 
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Location

 

4.08Royal School of MinesSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@inproceedings{Subramanian:2019:10.1109/EMBC.2019.8856608,
author = {Subramanian, M and Songur, N and Adjei, D and Orlov, P and Faisal, A},
doi = {10.1109/EMBC.2019.8856608},
publisher = {IEEE},
title = {A.Eye Drive: gaze-based semi-autonomous wheelchair interface},
url = {http://dx.doi.org/10.1109/EMBC.2019.8856608},
year = {2019}
}
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RIS format (EndNote, RefMan)

TY  - CPAPER
AB  - Existing wheelchair control interfaces, such as sip & puff or screen based gaze-controlled cursors, are challenging for the severely disabled to navigate safely and independently as users  continuously need  tointeract  with  an  interface  during navigation.  This putsa significant  cognitive load on  users and prevents  them  from  interacting  with  the  environment  in  other forms during navigation. We have combined eyetracking/gaze-contingent  intention  decoding  with  computervision  context-awarealgorithms and autonomous navigation drawn fromself-driving vehicles to allow paralysed users to drive by eye, simply by  decoding  natural  gaze  about  where  the  user  wants  to  go: A.Eye  Drive.  Our  “Zero  UI”  driving  platform  allows  users  to look  and  interact  visually  with  at  an  objector  destination  of interest in their visual scene, and the wheelchairautonomously   takes      the      user      to      the     intended  destination,  while continuously updating the computed path for static and dynamic obstacles. This intention decoding technology empowers the end-user   by   promising   more   independence   through   their   own agency.
AU  - Subramanian,M
AU  - Songur,N
AU  - Adjei,D
AU  - Orlov,P
AU  - Faisal,A
DO  - 10.1109/EMBC.2019.8856608
PB  - IEEE
PY  - 2019///
TI  - A.Eye Drive: gaze-based semi-autonomous wheelchair interface
UR  - http://dx.doi.org/10.1109/EMBC.2019.8856608
UR  - http://hdl.handle.net/10044/1/70934
ER  -
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