Ph.D. Candidate
FRQNT 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:

My research is funded by a PHD scholarship from the Fonds de recherche du Québec. I also receive a supplemental scholarship from the IRSST.

Peer-Reviewed Publications


Published

Côté-Allard, U.*, Fall, C. L., Campeau-Lecours, A., Gosselin, C., Laviolette, F. & Gosselin B. (2017). [ACCEPTED FOR PUBLICATION] "Transfer Learning for sEMG Hand Gestures Recognition Using Convolutional Neural Network". IEEE International Conference on SYSTEMS,MAN,AND CYBERNETICS.
[ pdf, video ]

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

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

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

Côté Allard, U., Nougarou, F., Fall, C. L., Giguère, P., Gosselin, C., Laviolette, F. & Gosselin, B. (2016). "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. [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. [pdf]

Talks


Invited Talks

Biological inspiration for Artificial Intelligence., Pint of Science. Le Cercle, Québec, Canada (May 2017).

High-cost function optimization, Seminars of the Department of Informatics and Software Engineering, Université Laval Québec, Canada (Octobre 2016)

Guidage non intrusif d'une prothèse de main myoélectrique à l'aide d'un bracelet électrode sèche, Colloque Big Data. Université Laval Québec, Canada (Octobre 2016).

Apprentissage machine et guidage de bras robotique par électromyographie., International Scientific Conference on Digital Intelligence. Centre des Congrès de Québec, Canada (April 2016).

Conferences and Workshops

A convolutional neural network for robotic arm guidance using sEMG based frequency-features. IROS2016, Daejeon, South Korea (October 2016)

Time Adaptive Dual Particle Swarm Optimization. CEC2017, San Sebastian, Spain (June 2017)