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DC Field | Value | Language |
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dc.contributor.author | Turabzadeh, S | - |
dc.contributor.author | Meng, H | - |
dc.contributor.author | Swash, RM | - |
dc.contributor.author | Pleva, M | - |
dc.contributor.author | Juhar, J | - |
dc.coverage.spatial | Luton, UK | - |
dc.date.accessioned | 2017-07-26T13:30:09Z | - |
dc.date.available | 2017-07-26T13:30:09Z | - |
dc.date.issued | 2017 | - |
dc.identifier.citation | Turabzadeh, S. et al. (2017) 'Real-time Emotional State Detection from Facial Expression on Embedded Devices', 2017 Seventh International Conference on Innovative Computing Technology (INTECH), Luton, UK, 16-18 August, pp. 1- 5. doi: 10.1109/INTECH.2017.8102423 | en_US |
dc.identifier.isbn | 978-1-5090-3989-0 (ebk) | - |
dc.identifier.isbn | 978-1-5090-3990-6 (PoD) | - |
dc.identifier.uri | https://bura.brunel.ac.uk/handle/2438/14961 | - |
dc.description.abstract | From the last decade, researches on human facial emotion recognition disclosed that computing models built on regression modelling can produce applicable performance. However, many systems need extensive computing power to be run that prevents its wide applications such as robots and smart devices. In this proposed system, a real-time automatic facial expression system was designed, implemented and tested on an embedded device such as FPGA that can be a first step for a specific facial expression recognition chip for a social robot. The system was built and simulated in MATLAB and then was built on FPGA and it can carry out real time continuously emotional state recognition at 30 fps with 47.44% accuracy. The proposed graphic user interface is able to display the participant video and two dimensional predict labels of the emotion in real time together. | en_US |
dc.description.sponsorship | The research presented in this paper was supported partially by the Slovak Research and Development Agency under the research projects APVV-15-0517 & APPV-15-0731 and by the Ministry of Education, Science, Research and Sport of the Slovak Republic under the project VEGA 1/0075/15. | en_US |
dc.language.iso | en | en_US |
dc.publisher | IEEE | en_US |
dc.rights | Copyright © 2017 Institute of Electrical and Electronics Engineers (IEEE). Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works by sending a request to pubs-permissions@ieee.org. For more information, see https://www.ieee.org/publications/rights/rights-policies.html | - |
dc.rights.uri | https://www.ieee.org/publications/rights/rights-policies.html | - |
dc.source | Seventh International Conference on Innovative Computing Technology (INTECH 2017) | - |
dc.source | Seventh International Conference on Innovative Computing Technology (INTECH 2017) | - |
dc.subject | FPGA | en_US |
dc.subject | facial expression analysis | en_US |
dc.subject | artificial intelligence | en_US |
dc.subject | real-time implementation | en_US |
dc.title | Real-time Emotional State Detection from Facial Expression on Embedded Devices | en_US |
dc.type | Conference Paper | en_US |
dc.identifier.doi | https://doi.org/10.1109/INTECH.2017.8102423 | - |
pubs.finish-date | 2017-08-18 | - |
pubs.finish-date | 2017-08-18 | - |
pubs.publication-status | Published | - |
pubs.start-date | 2017-08-16 | - |
pubs.start-date | 2017-08-16 | - |
dc.rights.holder | Institute of Electrical and Electronics Engineers (IEEE) | - |
Appears in Collections: | Dept of Electronic and Electrical Engineering Research Papers |
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FullText.pdf | Copyright © 2017 Institute of Electrical and Electronics Engineers (IEEE). Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works by sending a request to pubs-permissions@ieee.org. For more information, see https://www.ieee.org/publications/rights/rights-policies.html | 280.47 kB | Adobe PDF | View/Open |
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