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Benoit Gosselin
Researcher at Laval University
Publications - 210
Citations - 4072
Benoit Gosselin is an academic researcher from Laval University. The author has contributed to research in topics: CMOS & Gesture recognition. The author has an hindex of 26, co-authored 190 publications receiving 2960 citations. Previous affiliations of Benoit Gosselin include École Polytechnique de Montréal & Université du Québec à Montréal.
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Journal ArticleDOI
Deep Learning for Electromyographic Hand Gesture Signal Classification Using Transfer Learning
Ulysse Côté-Allard,Cheikh Latyr Fall,Alexandre Drouin,Alexandre Campeau-Lecours,Clément Gosselin,Kyrre Glette,François Laviolette,Benoit Gosselin +7 more
TL;DR: The proposed transfer learning scheme is shown to systematically and significantly enhance the performance for all three networks on the two datasets, achieving an offline accuracy of 98.31% and real-time feedback allows users to adapt their muscle activation strategy which reduces the degradation in accuracy normally experienced over time.
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Flexible 16 Antenna Array for Microwave Breast Cancer Detection
Hadi Bahramiabarghouei,Emily Porter,Adam Santorelli,Benoit Gosselin,Milica Popovic,Leslie A. Rusch +5 more
TL;DR: Two flexible conformal 4 × 4 ultrawideband antenna arrays (single and dual polarization), in a format similar to that of a bra, were developed for a radar-based breast cancer detection system.
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A Mixed-Signal Multichip Neural Recording Interface With Bandwidth Reduction
Benoit Gosselin,A.E. Ayoub,J.-F. Roy,Mohamad Sawan,Franco Lepore,A. Chaudhuri,Daniel Guitton +6 more
TL;DR: The design features a mixed-signal integrated circuit (IC) that handles conditioning, digitization, and time-division multiplexing of neural signals, and a digital IC that provides control, bandwidth reduction, and data communications for telemetry toward a remote host.
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A Low-Power Integrated Bioamplifier With Active Low-Frequency Suppression
TL;DR: A low-power bioamplifier suitable for massive integration in dense multichannel recording devices by means of active low-frequency suppression, designed for neural recording of action potentials, and optimised through a transconductance-ef-ficiency design methodology for micropower operation.
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A Wearable Microwave Antenna Array for Time-Domain Breast Tumor Screening
TL;DR: It is shown that the use of the wearable prototype has improved the quality of collected volunteer data by every investigated measure and can be further optimized in the future for use with patients with various breast sizes and tissue densities.