Zobrazeno 1 - 10
of 186
pro vyhledávání: '"Ruffaldi Emanuele"'
Autor:
Rossi, Federico, Cococcioni, Marco, Ibàñez, Roger Ferrer, Labarta, Jesùs, Mantovani, Filippo, Casas, Marc, Ruffaldi, Emanuele, Saponara, Sergio
As recently demonstrated, Deep Neural Networks (DNN), usually trained using single precision IEEE 754 floating point numbers (binary32), can also work using lower precision. Therefore, 16-bit and 8-bit compressed format have attracted considerable at
Externí odkaz:
http://arxiv.org/abs/2309.07158
By exploiting the modular RISC-V ISA this paper presents the customization of instruction set with posit\textsuperscript{\texttrademark} arithmetic instructions to provide improved numerical accuracy, well-defined behavior and increased range of repr
Externí odkaz:
http://arxiv.org/abs/2308.03425
This paper presents a simple and robust method for the automatic localisation of static 3D objects in large-scale urban environments. By exploiting the potential to merge a large volume of noisy but accurately localised 2D image data, we achieve supe
Externí odkaz:
http://arxiv.org/abs/2006.03492
Publikováno v:
BIO Web of Conferences, Vol 1, p 00025 (2011)
This paper shows the selection and preliminary evaluation of rowing gesture timing training on the SPRINT platform. After the analysis of experts’ gestures and a literature review of rowing technique features, the selection of proper feedbacks and
Externí odkaz:
https://doaj.org/article/b420dabcf2344679818f966345658d71
Publikováno v:
BIO Web of Conferences, Vol 1, p 00083 (2011)
This study focused on the selection and preliminary evaluation of different types of modal and information feedback in virtual environment to facilitate acquisition and transfer of a complex motor-cognitive skill of rowing. Specifically, we addressed
Externí odkaz:
https://doaj.org/article/aafe68e05e524b048825f3eb1a2c72e1
Publikováno v:
BIO Web of Conferences, Vol 1, p 00024 (2011)
Four expert rowers’ gestures were gathered on the SPRINT rowing platform with the aid of an optic motion tracking system. Data were analyzed in order to get a digital representation of the features involved in rowing. Moreover, these data provide a
Externí odkaz:
https://doaj.org/article/a9bc2a6734f743e793b4c0ca859931b5
Publikováno v:
BIO Web of Conferences, Vol 1, p 00044 (2011)
The use of coaches in training provides several advantages to the skill transfer process. However, their use is limited because of cost reasons. Automatic recognition processes, on the other hand, have a vastly lower cost ratio and can replace or int
Externí odkaz:
https://doaj.org/article/e08a3d1efea64d11bb0cbd2e32d195f5
Publikováno v:
BIO Web of Conferences, Vol 1, p 00043 (2011)
Techniques for machine hearing are increasing their potentiality due to new application domains. In this work we are addressing the analysis of rowing sounds in natural context for the purpose of supporting a training system based on virtual environm
Externí odkaz:
https://doaj.org/article/681ec0a7e7494f99a6cd6e84ecd6b91f
Autor:
Tripicchio Paolo, Lagarde Julien, Zelic Gregory, Ruffaldi Emanuele, Lippi Vittorio, Avizzano Carlo Alberto
Publikováno v:
BIO Web of Conferences, Vol 1, p 00056 (2011)
In this paper we analyze the concept of UnControlled Manifold (UCM), that consists in the kinematic variables that are not controlled by the user, being not relevant to the task. We proceed testing a set of controlled variables inspired by the litera
Externí odkaz:
https://doaj.org/article/b5285f0ea91d4f1c9208fb1c1f1b93fe
Autor:
Verbrugge Luc, Blanc Sébastine, Ruffaldi Emanuele, Filippeschi Alessandro, Hoffmann Charles P., Bardy Benoît G.
Publikováno v:
BIO Web of Conferences, Vol 1, p 00035 (2011)
This study focused on one of the most important factors in rowing performance which is the ability demonstrated by elite rowers to regulate their effort during a 2000m race in order to produce their best performance. Experts are known to adopt a part
Externí odkaz:
https://doaj.org/article/39416757a3ce4a4ca95268eda2488be7