Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Lukas Everding"'
Autor:
Lukas Everding, Jörg Conradt
Publikováno v:
Frontiers in Neurorobotics, Vol 12 (2018)
In order to safely navigate and orient in their local surroundings autonomous systems need to rapidly extract and persistently track visual features from the environment. While there are many algorithms tackling those tasks for traditional frame-base
Externí odkaz:
https://doaj.org/article/d7985279a8e3457681b3012c664c3073
Autor:
Zied Tayeb, Juri Fedjaev, Nejla Ghaboosi, Christoph Richter, Lukas Everding, Xingwei Qu, Yingyu Wu, Gordon Cheng, Jörg Conradt
Publikováno v:
Sensors, Vol 19, Iss 1, p 210 (2019)
Non-invasive, electroencephalography (EEG)-based brain-computer interfaces (BCIs) on motor imagery movements translate the subject’s motor intention into control signals through classifying the EEG patterns caused by different imagination tasks, e.
Externí odkaz:
https://doaj.org/article/b64169d6a1bb40e5a5f3bf8f754580a2
Autor:
Gordon Cheng, Jörg Conradt, Lukas Everding, Nejla Ghaboosi, Zied Tayeb, Juri Fedjaev, Yingyu Wu, Xingwei Qu, Christoph Richter
Publikováno v:
Sensors
Volume 19
Issue 1
Sensors, Vol 19, Iss 1, p 210 (2019)
Sensors (Basel, Switzerland)
Volume 19
Issue 1
Sensors, Vol 19, Iss 1, p 210 (2019)
Sensors (Basel, Switzerland)
Non-invasive, electroencephalography (EEG)-based brain-computer interfaces (BCIs) on motor imagery movements translate the subject’s motor intention into control signals through classifying the EEG patterns caused by different imagination tasks, e.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::21b84f8294e43f03c85c27fb7a0bbbf3
https://doi.org/10.20944/preprints201809.0481.v1
https://doi.org/10.20944/preprints201809.0481.v1
Autor:
Lukas Everding, Jörg Conradt
Publikováno v:
Frontiers in Neurorobotics
Frontiers in Neurorobotics, Vol 12 (2018)
Frontiers in Neurorobotics, Vol 12 (2018)
In order to safely navigate and orient in their local surroundings autonomous systems need to rapidly extract and persistently track visual features from the environment. While there are many algorithms tackling those tasks for traditional frame-base
Publikováno v:
HealthCom
We propose an improved version of a wearable lightweight device to support visually impaired people during their everyday lives by facilitating autonomous navigation and obstacle avoidance. The system deploys two retina-inspired Dynamic Vision Sensor
Autor:
Vinicius Felisberto Santos Pereira, Jörg Conradt, Lukas Everding, Viviane S. Ghaderi, Marcello Mulas, David Weikersdorfer
Publikováno v:
EMBC
Proposed is a prototype of a wearable mobility device which aims to assist the blind with navigation and object avoidance via auditory-vision-substitution. The described system uses two dynamic vision sensors and event-based information processing te