Ulysse Côté Allard's Home Page

Ph.D. Candidate
NSERC and IRSST Scholar
Machine Learning and Rehabilitation Engineering.

Université Laval
Pavillon Adrien-Pouliot, Office 3908
1065, avenue de la Médecine
Québec (Québec), Canada G1V 0A6

Curriculum Vitae

Supervisor: Benoit Gosselin
Co-Supervisor: François Laviolette
Research Groups: Laboratoire de recherche sur les microsystèmes biomédicaux, Groupe de Recherche en Apprentissage Automatique, Big Data Research Center

Research

Main focus: Long-term guidance of hand prosthesis using electromyographic signals

My research is oriented towards the development of algorithms for the guidance of a prosthesis-hand that is resistant to short and long-term noise without the need for constant recalibration. This is in an effort to create new hand prostheses that are smarter and more easily integrated into day-to-day life, to ultimately improve the quality of life of amputees. In this endeavour, I am particularly interested in integrating convolutional networks with unsupervised transfer learning algorithms to generate robust features representations that adapt to the non-stationary nature of surface electromyography.

Secondary topics:

High-cost function optimization.
Evolutionary Algorithms.
Human-Robot interaction.

My research is funded by a PHD scholarship from the Natural Sciences and Engineering Research Council of Canada. I also receive a supplemental scholarship from the IRSST.

Peer-Reviewed Publications

Journal Papers

Côté-Allard U, Fall CL, Drouin A, Campeau-Lecours A, Gosselin C, Glette K, Laviolette F, Gosselin B. "Deep Learning for Electromyographic Hand Gesture Signal Classification Using Transfer Learning". IEEE Transactions on Neural Systems and Rehabilitation Engineering. 2019 Jan 31.
[pdf]

St-Onge, D, Côté-Allard, U, Glette, K, Gosselin B & Beltrame, G [ACCEPTED FOR PUBLICATION] "Engaging with Robotic Swarms: Commands from Expressive Motion". ACM Transactions on Human-Robot Interaction. 2019 Mar
[pdf]

Campeau-Lecours A, Côté-Allard U, Vu DS, Routhier F, Gosselin B, Gosselin C. "Intuitive Adaptive Orientation Control for Enhanced Human–Robot Interaction". IEEE Transactions on Robotics. 2018 Dec 28.
[pdf]

Conference Papers

Côté-Allard, U, St-Onge, D, Giguère, P, Laviolette, F & Gosselin, B "Towards the use of consumer-grade electromyographic armbands for interactive, artistic robotics performances". IEEE International Symposium on Robot and Human Interactive Communication. 2017 [ pdf, video]

Vu, D. S*, Côté Allard, U*, Gosselin, C, Routhier, F, Gosselin B & Campeau-Lecours, A "Novel adaptive orientation control of assistive robots for people living with upper body disabilities". IEEE International Conference on Rehabilitation Robotics. 2017
*These authors contributed equally to this work. [ pdf ]

Côté Allard, U*, Dubé, G*, Khoury, R, Lamontagne, L, Gosselin, B & Laviolette, F "Time Adaptive Dual Particle Swarm Optimization". IEEE Congress on Evolutionary Computation. 2017
*These authors contributed equally to this work. [ pdf ]

Côté Allard, U, Nougarou, F, Fall, C. L., Giguère, P, Gosselin, C, Laviolette, F & Gosselin, B "A convolutional neural network for robotic arm guidance using sEMG based frequency-features". IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2464--2470. 2016 [pdf, video]

Côté Allard, U, Khoury, R, Lamontagne, L, Bergeron, J, Laviolette, F & Bergeron, A (2015). "Optimizing Question-Answering Systems Using Genetic Algorithms". FLAIRS Conference, 32--37. 2015 [pdf]