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pro vyhledávání: '"Victor Javier Kartsch"'
Autor:
Victor Javier Kartsch, Velu Prabhakar Kumaravel, Simone Benatti, Giorgio Vallortigara, Luca Benini, Elisabetta Farella, Marco Buiatti
Publikováno v:
Sensors, Vol 22, Iss 24, p 9803 (2022)
Recent studies show that the integrity of core perceptual and cognitive functions may be tested in a short time with Steady-State Visual Evoked Potentials (SSVEP) with low stimulation frequencies, between 1 and 10 Hz. Wearable EEG systems provide uni
Externí odkaz:
https://doaj.org/article/050895a8f811459691df92c57fc1f49b
Autor:
Lamberti, Lorenzo, Cereda, Elia, Abbate, Gabriele, Bellone, Lorenzo, Morinigo, Victor Javier Kartsch, Barcis, Michał, Barcis, Agata, Giusti, Alessandro, Conti, Francesco, Palossi, Daniele
Publikováno v:
IEEE Robotics and Automation Letters (Volume: 9, Issue: 2, February 2024)
Autonomous drone racing competitions are a proxy to improve unmanned aerial vehicles' perception, planning, and control skills. The recent emergence of autonomous nano-sized drone racing imposes new challenges, as their ~10cm form factor heavily rest
Externí odkaz:
http://arxiv.org/abs/2312.08991
Akademický článek
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Autor:
Mattia Orlandi, Marcello Zanghieri, Victor Javier Kartsch Morinigo, Francesco Conti, Davide Schiavone, Luca Benini, Simone Benatti
Publikováno v:
2022 IEEE Biomedical Circuits and Systems Conference (BioCAS).
Autor:
Victor Javier Kartsch Morinigo, Roberto Meattini, Marcello Zanghieri, Simone Benatti, Alessio Burrello, Gianluca Palli, Luca Benini, Claudio Melchiorri
Publikováno v:
2021 IEEE International Conference on Omni-Layer Intelligent Systems (COINS)
COINS
COINS
Human-Machine Interfaces based on gesture control are a very active field of research, aiming to enable natural interaction with objects. Nowadays, one of the most promising State-of-the-Art (SoA) methodology for robotic hand control relies on the su
Publikováno v:
BioCAS
We present an unobtrusive and minimally invasive system for acquiring 8-channels of EEG behind the ear, to support brain activity monitoring in a socially acceptable fashion and outside clinical environments. Electrical performance are in line with t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7d84fdd75f706d6a2deaf8f2d680fde6
https://hdl.handle.net/11380/1264888
https://hdl.handle.net/11380/1264888
Publikováno v:
Information Fusion
Information Fusion, 43
Information Fusion, 43
A Wearable Drowsiness Detector based on sensor fusion is presented.EEG and IMU sensors are used to detect 5 levels of drowsiness with 95% of accuracy.Efficient HW/FW co-design permits 6 hours of operation with a 200mAh battery.Further energy saving w
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::282a61c260443524af88f73674ce2e3d
https://hdl.handle.net/11380/1264927
https://hdl.handle.net/11380/1264927