Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Jules Francoise"'
Autor:
Frederic Bevilacqua, Eric Olivier Boyer, Jules Francoise, Olivier Houix, Patrick Susini, Agnes Roby-Brami, Sylvain Hanneton
Publikováno v:
Frontiers in Neuroscience, Vol 10 (2016)
This article reports on an interdisciplinary research project on movement sonification for sensori-motor learning. First, we describe different research fields which have contributed to movement sonification, from music technology including gesture-c
Externí odkaz:
https://doaj.org/article/4f9297864ba24659a593cbe15118f375
Publikováno v:
MOCO '22: Proceedings of the 8th International Conference on Movement and Computing
MOCO '22: 8th International Conference on Movement and Computing
MOCO '22: 8th International Conference on Movement and Computing, Jun 2022, Chicago, United States. pp.1-8, ⟨10.1145/3537972.3537996⟩
MOCO '22: 8th International Conference on Movement and Computing
MOCO '22: 8th International Conference on Movement and Computing, Jun 2022, Chicago, United States. pp.1-8, ⟨10.1145/3537972.3537996⟩
International audience; With the wide availability of inertial sensors in smartphones and connected objects, interest in sensor-based activity recognition has risen. Yet, recognizing human actions from inertial data remains a challenging task because
Autor:
Frederic Bevilacqua, Eric Olivier Boyer, Jules Francoise, Olivier Houix, Patrick Susini, Agnes Roby-Brami, Sylvain Hanneton
Publikováno v:
Frontiers in Neuroscience
Frontiers in Neuroscience, Frontiers, 2016, 10, pp.385. ⟨10.3389/fnins.2016.00385⟩
Frontiers in Neuroscience, Vol 10 (2016)
Frontiers in Neuroscience, 2016, 10, pp.385. ⟨10.3389/fnins.2016.00385⟩
Frontiers in Neuroscience, Frontiers, 2016, 10, pp.385. 〈10.3389/fnins.2016.00385〉
Frontiers in Neuroscience, Frontiers, 2016, 10, pp.385. ⟨10.3389/fnins.2016.00385⟩
Frontiers in Neuroscience, Vol 10 (2016)
Frontiers in Neuroscience, 2016, 10, pp.385. ⟨10.3389/fnins.2016.00385⟩
Frontiers in Neuroscience, Frontiers, 2016, 10, pp.385. 〈10.3389/fnins.2016.00385〉
International audience; This article reports on an interdisciplinary research project on movement sonification for sensori-motor learning. First, we describe different research fields which have contributed to movement sonification, from music techno
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::80fdbd3511d21c44a4ddb87cf9f2c529
https://hal.sorbonne-universite.fr/hal-01375443/file/fnins-10-00385.pdf
https://hal.sorbonne-universite.fr/hal-01375443/file/fnins-10-00385.pdf
Publikováno v:
Frontiers in Computer Science, Vol 2 (2020)
Machine learning approaches have seen a considerable number of applications in human movement modeling but remain limited for motor learning. Motor learning requires that motor variability be taken into account and poses new challenges because the al
Externí odkaz:
https://doaj.org/article/9066903480e64aa29ba42427dbed05bf
Autor:
Guillaume Lemaitre, Hugo Scurto, Jules Françoise, Frédéric Bevilacqua, Olivier Houix, Patrick Susini
Publikováno v:
PLoS ONE, Vol 12, Iss 7, p e0181786 (2017)
Communicating an auditory experience with words is a difficult task and, in consequence, people often rely on imitative non-verbal vocalizations and gestures. This work explored the combination of such vocalizations and gestures to communicate audito
Externí odkaz:
https://doaj.org/article/9bfeeec2434946fe8240c83c7e0cda96