Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Sebastien Gaboury"'
Autor:
Hui Chen, Charles Gouin-Vallerand, Kevin Bouchard, Sebastien Gaboury, Melanie Couture, Nathalie Bier, Sylvain Giroux
Publikováno v:
IEEE Access, Vol 12, Pp 152511-152531 (2024)
Deep learning models have achieved significant success in human activity recognition, particularly in assisted living and telemonitoring. However, training these models requires substantial amounts of labeled training data, which is time-consuming an
Externí odkaz:
https://doaj.org/article/46a9a2a662584e8686fd2515e288b789
Publikováno v:
IEEE Access, Vol 11, Pp 81298-81309 (2023)
Human Activity Recognition (HAR) is one of the most popular research topics thanks to its usefulness in providing targeted, meaningful assistance to older adults. Because of the aging of the population in first-world countries, it becomes increasingl
Externí odkaz:
https://doaj.org/article/94679d89210f4a69ae523daeddb45f72
Autor:
Kevin Chapron, Patrick Lapointe, Isabelle Lessard, Hans Darsmstadt-Belanger, Kevin Bouchard, Cynthia Gagnon, Melissa Lavoie, Elise Duchesne, Sebastien Gaboury
Publikováno v:
IEEE Access, Vol 9, Pp 49960-49973 (2021)
Myotonic dystrophy type 1 (DM1) is a rare disease where the highest prevalence is found in the small geographical region of Saguenay-Lac-St-Jean in Quebec, Canada. This disease impacts the quality of life and the ability of the affected people to pur
Externí odkaz:
https://doaj.org/article/06fc3f92265c4a559505c490fb0e0335
Publikováno v:
IEEE Access, Vol 4, Pp 284-298 (2016)
Optical codes have long been used to carry small amounts of static data, such as URLs, IDs or other short binary sequences. In this paper, we experiment on the use of sequences of optical codes to form a one-way communication channel. In this context
Externí odkaz:
https://doaj.org/article/37987c0de9494e4496184c4712d0deff
Publikováno v:
Sensors, Vol 17, Iss 10, p 2397 (2017)
The Internet of things has profoundly changed the way we imagine information science and architecture, and smart homes are an important part of this domain. Created a decade ago, the few existing prototypes use technologies of the day, forcing design
Externí odkaz:
https://doaj.org/article/23e3544f3bf949ec9f63ae93dd5ebd78
Publikováno v:
International Journal of Distributed Sensor Networks, Vol 9 (2013)
The rapid adoption of wireless communication and sensors technology has raised the awareness of many laboratories about the field of network embedded system. Most researchers aim to exploit these advances to enable technological assistance of frail p
Externí odkaz:
https://doaj.org/article/6bc86fc81318424583a7192d8d497fab
Autor:
Killian Lachaux, Julien Maitre, Kevin Bouchard, Maxime Lussier, Carolina Bottari, Melanie Couture, Nathalie Bier, Sylvain Giroux, Sebastien Gaboury
Publikováno v:
2022 IEEE International Conference on Blockchain, Smart Healthcare and Emerging Technologies (SmartBlock4Health).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::62ff8072a86f17e6894ad39b5ba9680d
https://doi.org/10.1109/smartblock4health56071.2022.10034526
https://doi.org/10.1109/smartblock4health56071.2022.10034526
Autor:
Maxime Lussier, Mélanie Couture, Sylvain Giroux, Aline Aboujaoudé, Hubert Kenfack Ngankam, Hélène Pigot, Sébastien Gaboury, Kevin Bouchard, Carolina Bottari, Patricia Belchior, Guy Paré, Nathalie Bier
Publikováno v:
JMIR Research Protocols, Vol 13, p e52284 (2024)
BackgroundTelemonitoring of activities of daily living (ADLs) offers significant potential for gaining a deeper insight into the home care needs of older adults experiencing cognitive decline, particularly those living alone. In 2016, our team and a
Externí odkaz:
https://doaj.org/article/3ae9effc77764afbafc4c91265304935
Enhancing Human Activity Recognition in Smart Homes with Self-Supervised Learning and Self-Attention
Autor:
Hui Chen, Charles Gouin-Vallerand, Kévin Bouchard, Sébastien Gaboury, Mélanie Couture, Nathalie Bier, Sylvain Giroux
Publikováno v:
Sensors, Vol 24, Iss 3, p 884 (2024)
Deep learning models have gained prominence in human activity recognition using ambient sensors, particularly for telemonitoring older adults’ daily activities in real-world scenarios. However, collecting large volumes of annotated sensor data pres
Externí odkaz:
https://doaj.org/article/0340cbd408074b219dc9d83fd0b243d3
Autor:
Lydiane Lauzier, Mohamed Abdelhafid Kadri, Emilie Bouchard, Kevin Bouchard, Sébastien Gaboury, Jean-Michel Gagnon, Marie-Pier Girard, Andréanne Larouche, Roxane Robert, Patrick Lapointe, Rubens A. da Silva, Louis-David Beaulieu
Publikováno v:
Frontiers in Human Neuroscience, Vol 15 (2021)
Background: Standing on a foam surface is used to investigate how aging affect the ability to keep balance when somatosensory inputs from feet soles become unreliable. However, since standing on foam also affects the efficacy of postural adjustments,
Externí odkaz:
https://doaj.org/article/aafb997cf5774da78d8b9ec09fc52959