A video game design based on Emotiv Neuroheadset
dc.contributor.author | Raju, R | en |
dc.contributor.author | Yang, C | en |
dc.contributor.author | Li, C | en |
dc.contributor.author | Cangelosi, A | en |
dc.date.accessioned | 2020-07-09T05:45:27Z | |
dc.date.available | 2020-07-09T05:45:27Z | |
dc.date.issued | 2016-10-21 | en |
dc.identifier.isbn | 9781509033645 | en |
dc.identifier.uri | http://hdl.handle.net/10026.1/15869 | |
dc.description.abstract |
This paper presents our work on the development of a video maze game in Android system, and a new method to play the game using gyroscope and electromyography (EMG) signals obtained by a wireless Emotiv Neuroheadset. The TeamViewer software is used to share the computer screen and to transfer the data to an Android device, and the Emotiv EPOC headset is used to detect the intension of the user who is playing the game. The cursor position is controlled using information from the gyroscope embeded in the headset. The clicks are generated through the users blinking action based on the expressive suite data acquired from Emotiv headset signal data. A program called Neuro Mousecontrol is used to act as a tool for controlling gyroscope movements and clicking actions together. Extensive tests have demonstrated the effectiveness of the developed system. | en |
dc.format.extent | 14 - 19 | en |
dc.language.iso | en | en |
dc.title | A video game design based on Emotiv Neuroheadset | en |
dc.type | Conference Contribution | |
plymouth.publication-status | Published | en |
plymouth.journal | ICARM 2016 - 2016 International Conference on Advanced Robotics and Mechatronics | en |
dc.identifier.doi | 10.1109/ICARM.2016.7606887 | en |
plymouth.organisational-group | /Plymouth | |
plymouth.organisational-group | /Plymouth/Faculty of Science and Engineering | |
plymouth.organisational-group | /Plymouth/Faculty of Science and Engineering/School of Engineering, Computing and Mathematics | |
plymouth.organisational-group | /Plymouth/REF 2021 Researchers by UoA | |
plymouth.organisational-group | /Plymouth/REF 2021 Researchers by UoA/UoA11 Computer Science and Informatics | |
plymouth.organisational-group | /Plymouth/Research Groups | |
plymouth.organisational-group | /Plymouth/Research Groups/Institute of Health and Community | |
plymouth.organisational-group | /Plymouth/Research Groups/Marine Institute | |
plymouth.organisational-group | /Plymouth/Users by role | |
plymouth.organisational-group | /Plymouth/Users by role/Academics | |
dc.rights.embargoperiod | Not known | en |
rioxxterms.funder | EPSRC | |
rioxxterms.identifier.project | Versatile and Dexterous Adaptive Control of Dual-Arm Robots for Personalized Assistance | |
rioxxterms.versionofrecord | 10.1109/ICARM.2016.7606887 | en |
rioxxterms.licenseref.uri | http://www.rioxx.net/licenses/all-rights-reserved | en |
rioxxterms.type | Conference Paper/Proceeding/Abstract | en |
plymouth.funder | Versatile and Dexterous Adaptive Control of Dual-Arm Robots for Personalized Assistance::EPSRC | en |
plymouth.funder | Versatile and Dexterous Adaptive Control of Dual-Arm Robots for Personalized Assistance::EPSRC | en |