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Your search keyword '"Marina Vela Nunez"' showing total 6 results
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6 results on '"Marina Vela Nunez"'

1. The detector control unit of the fine guidance sensor instrument on-board the ARIEL mission: design status

Author

Vladimiro Noce, Mauro Focardi, Marina Vela Nunez, Luca Naponiello, Andrea Lorenzani, Raoul Grimoldi, Elio Mangraviti, Luca Carli, Kamil Ber, Miroslaw Rataj, Konrad Rutkowski, Konrad R. Skup, Przemyslaw Nita, Giuseppina Micela, Giuseppe Malaguti, Natalia Auricchio, Emanuele Pace, Giampaolo Preti, Enzo Pascale, Giovanna Tinetti, Paul Eccleston, Elisabetta Tommasi, Mario Salatti, Raffaele Piazzolla, Pietro Bolli, Renzo Nesti, Marcella Iuzzolino, Luca Carbonaro, Ciro Del Vecchio, Debora Ferruzzi, Federico Miceli, Anna Brucalassi, Gilberto Falcini, Andrea Tozzi, and Daniele Gottini

Published
2022
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4. The instrument control unit of the ARIEL payload: design evolution following the unit and payload subsystems SRR (system requirements review)

Author

Vladimiro Noce, Mauro Focardi, Anna Maria Di Giorgio, Emanuele Galli, Maria Farina, Giovanni Giusi, Marina Vela Nunez, Luca Naponiello, Andrea Lorenzani, Luca Serafini, Carlo Del Vecchio Blanco, Marco Verna, Cristophe Cara, Michel Berthé, Jerome Martignac, Roland Ottensamer, Giuseppina Micela, Giuseppe Malaguti, Emanuele Pace, Giampaolo Preti, Federico Miceli, Enzo Pascale, Giovanna Tinetti, Paul Eccleston, Elisabetta Tommasi, Fulvio De Persio, Pietro Bolli, Renzo Nesti, Marcella Iuzzolino, Luca Carbonaro, Ciro Del Vecchio, Debora Ferruzzi, Anna Brucalassi, Gilberto Falcini, Andrea Tozzi, and Daniele Gottini

Published
2022
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6. A low-cost human locomotion speed recognition for augmented virtual environments exploration

Author

Marina Vela Nunez, Carlo Alberto Avizzano, Emanuele Ruffaldi, and Massimo Bergamasco

Subjects
Acceleration, Artificial neural network, Virtual machine, Computer science, Interface (computing), Kinesthetic learning, Augmented reality, computer.software_genre, Accelerometer, computer, Simulation, Session (web analytics), ComputingMethodologies_COMPUTERGRAPHICS
Abstract

This paper presents a novel and low-cost interface designed for real-time human locomotion speed recognition, which fits with the exploration of kinesthetic virtual environments (VE). According to the interface paradigm, the human locomotion recognition feeds VE navigation control. An experimental session has been organized in order to acquire acceleration data related to locomotion of 10 healthy subjects (men and women) aging between 23 and 35 years. A treadmill has been used to capture the velocity at which subjects were moving. Our system was designed to optimize classification performances in human locomotion speed recognition in real-time. The recognized human speed locomotion has been shown to enhance users' sensation of presence in the virtual environment. A simple scenario has been developed to assess the system functionality. The experiments carried out show that our system is excellent at classifying a wide range of human locomotion and can be used both in virtual and augmented reality (VR) environments for improved interaction.

Published
2011
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