Zobrazeno 1 - 10
of 28
pro vyhledávání: '"Surej Mouli"'
Publikováno v:
IEEE Access, Vol 9, Pp 29143-29152 (2021)
Rear-end collision accounts for around 8% of all vehicle crashes in the UK, with the failure to notice or react to a brake light signal being a major contributory cause. Meanwhile traditional incandescent brake light bulbs on vehicles are increasingl
Externí odkaz:
https://doaj.org/article/d590f8201e734ec6aaa872886b7d9a20
Autor:
Surej Mouli, Ramaswamy Palaniappan
Publikováno v:
HardwareX, Vol 8, Iss , Pp e00113- (2020)
A fully customisable chip-on board (COB) LED design to evoke two brain responses simultaneously (steady state visual evoked potential (SSVEP) and transient evoked potential, P300) is discussed in this paper. Considering different possible modalities
Externí odkaz:
https://doaj.org/article/70f1cb51e98e4d39a80033179574fd14
Publikováno v:
Technologies, Vol 8, Iss 4, p 63 (2020)
Steady State Visual Evoked Potential (SSVEP) methods for brain–computer interfaces (BCI) are popular due to higher information transfer rate and easier setup with minimal training, compared to alternative methods. With precisely generated visual st
Externí odkaz:
https://doaj.org/article/248f088de1de4f10980b6f9218a551ea
Autor:
Surej Mouli, Ramaswamy Palaniappan
Publikováno v:
The Journal of Engineering (2017)
Externí odkaz:
https://doaj.org/article/fa7ec05f3f034e3b89aefda05b4ee18b
Half of all road accidents result from either lack of driver attention or from maintaining insufficient separation between vehicles. Collision from the rear, in particular, has been identified as the most common class of accident in the UK, and its i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6780e36ec2b76ece3d65364d4744b2b9
https://publications.aston.ac.uk/id/eprint/42836/1/Brake_Lights_in_Initiating_Braking_Action.pdf
https://publications.aston.ac.uk/id/eprint/42836/1/Brake_Lights_in_Initiating_Braking_Action.pdf
Autor:
Surej Mouli, Sunil Arora, Ramaswamy Palaniappan, Ian McLoughlin, R.G. Kanegaonkar, Jane Ollis
Publikováno v:
Scopus-Elsevier
BIOSIGNALS
BIOSIGNALS
Non-invasive vagus nerve stimulation is fast becoming a popular alternative treatment method for various health disorders. The authors investigated the effects of auricular vagus nerve stimulation at tragus for activating the parasympathetic nervous
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0f48fd449c5f6ad15c1815258605e884
https://publications.aston.ac.uk/id/eprint/42361/1/102222.pdf
https://publications.aston.ac.uk/id/eprint/42361/1/102222.pdf
Autor:
R.G. Kanegaonkar, Ramaswamy Palaniappan, Surej Mouli, Evangelia Fringi, Ian McLoughlin, Jane Ollis, Suni Arora
Publikováno v:
2020 IEEE-EMBS Conference on Biomedical Engineering and Sciences (IECBES).
This study explores auricular vagus nerve stimulation (aVNS) within the context of stress. Five healthy subjects underwent a pulsed mode aVNS (with a frequency of 25 Hz and pulse width of $200\ \mu\mathrm{s}$ ) using a custom made current stimulation
Publikováno v:
Technologies
Technologies, Vol 8, Iss 63, p 63 (2020)
Technologies, Vol 8, Iss 63, p 63 (2020)
Steady State Visual Evoked Potential (SSVEP) methods for brain–computer interfaces (BCI) are popular due to higher information transfer rate and easier setup with minimal training, compared to alternative methods. With precisely generated visual st
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e11a1b2d794e55015082d5df9ab63dac
https://kar.kent.ac.uk/85289/1/technologies-08-00063-v2.pdf
https://kar.kent.ac.uk/85289/1/technologies-08-00063-v2.pdf
Publikováno v:
2018 2nd International Conference on BioSignal Analysis, Processing and Systems (ICBAPS).
Steady state visual evoked potential (SSVEP) has been employed significantly in various electrophysiological studies, most notably in the brain-computer interface (BCI) designs. While the standard approach of generating SSVEP is to use a 50% duty cyc
Autor:
Surej Mouli, Ramaswamy Palaniappan
Publikováno v:
2017 IEEE Symposium on Computer Applications & Industrial Electronics (ISCAIE).
This paper investigates the possibilities of developing a hybrid brain-computer interface based on Steady State Visual Evoked Potential (SSVEP) and P300 responses. SSVEP classification accuracy is improved using P300 event detection as a secondary va