Conference Paper/Proceeding/Abstract 718 views 65 downloads
EmotiMask: Mapping Mouth Movements to an LED Matrix for Improving Recognition When Teaching With a Face Mask
ECE Official Conference Proceedings
Swansea University Author:
Fabio Caraffini
DOI (Published version): 10.22492/issn.2188-1162.2022.49
Abstract
The Covid-19 pandemic has led to the adoption of face masks in physical teaching spaces across the world. This has in-turn presented a number of challenges for practitioners in the face to face delivery of content and in effectively engaging learners in practical settings, where face coverings are a...
Published in: | ECE Official Conference Proceedings |
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ISBN: | 2188-1162 |
ISSN: | 2188-1162 |
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The International Academic Forum(IAFOR)
2022
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URI: | https://cronfa.swan.ac.uk/Record/cronfa61352 |
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2022-10-11T14:56:44.7222340 v2 61352 2022-09-27 EmotiMask: Mapping Mouth Movements to an LED Matrix for Improving Recognition When Teaching With a Face Mask d0b8d4e63d512d4d67a02a23dd20dfdb 0000-0001-9199-7368 Fabio Caraffini Fabio Caraffini true false 2022-09-27 SCS The Covid-19 pandemic has led to the adoption of face masks in physical teaching spaces across the world. This has in-turn presented a number of challenges for practitioners in the face to face delivery of content and in effectively engaging learners in practical settings, where face coverings are an ongoing requirement. Being unable to identify the mouth movements of a speaker due to the lower portion of the face being obscured can lead to issues in clarity, attention, emotional recognition, and trust attribution, negatively affecting the learning experience. This is further exacerbated for those who require specialist support and those with impairments, particularly those centred around hearing. EmotiMask embeds an LED matrix within a face mask to replicate mouth movements and emotional state through speech detection and intelligent processing. By cycling through different LED configurations, the matrix can approximate speech in-progress, as well as various mouth patterns linked to distinct emotional states. An initial study placed EmotiMask within a HE practical session containing 10 students, with results suggesting a positive effect on clarity and emotional recognition over typical face masks. Further feedback noted that it was easier to identify the current speaker with EmotiMask, however speech amplification, additional led configurations, and improved portability are desired points of refinement. This study represents a step towards a ubiquitous solution for tackling some of the challenges presented when teaching in a pandemic or similar situations where face coverings are a requirement and has potential value in other sectors where such scenarios present themselves. Conference Paper/Proceeding/Abstract ECE Official Conference Proceedings The International Academic Forum(IAFOR) 2188-1162 2188-1162 Audio Processing, Covid-19, EmotiMask, Emotional Recognition, Face Masks, LED Matrix, Mouth Expressions, Speech Detection, Teaching & Learning 27 9 2022 2022-09-27 10.22492/issn.2188-1162.2022.49 COLLEGE NANME Computer Science COLLEGE CODE SCS Swansea University Not Required 2022-10-11T14:56:44.7222340 2022-09-27T08:54:59.3773921 Faculty of Science and Engineering School of Mathematics and Computer Science - Computer Science Salim Hasshu 1 Stuart O’Connor 2 Simon Colreavy-Donnelly 3 Stefan Kuhn 4 Fabio Caraffini 0000-0001-9199-7368 5 61352__25280__719315d32e104aa095e13f57feaa1bad.pdf 61352.pdf 2022-10-03T09:56:03.9504924 Output 4687172 application/pdf Version of Record true Redistributed under a IAFOR User license. true eng |
title |
EmotiMask: Mapping Mouth Movements to an LED Matrix for Improving Recognition When Teaching With a Face Mask |
spellingShingle |
EmotiMask: Mapping Mouth Movements to an LED Matrix for Improving Recognition When Teaching With a Face Mask Fabio Caraffini |
title_short |
EmotiMask: Mapping Mouth Movements to an LED Matrix for Improving Recognition When Teaching With a Face Mask |
title_full |
EmotiMask: Mapping Mouth Movements to an LED Matrix for Improving Recognition When Teaching With a Face Mask |
title_fullStr |
EmotiMask: Mapping Mouth Movements to an LED Matrix for Improving Recognition When Teaching With a Face Mask |
title_full_unstemmed |
EmotiMask: Mapping Mouth Movements to an LED Matrix for Improving Recognition When Teaching With a Face Mask |
title_sort |
EmotiMask: Mapping Mouth Movements to an LED Matrix for Improving Recognition When Teaching With a Face Mask |
author_id_str_mv |
d0b8d4e63d512d4d67a02a23dd20dfdb |
author_id_fullname_str_mv |
d0b8d4e63d512d4d67a02a23dd20dfdb_***_Fabio Caraffini |
author |
Fabio Caraffini |
author2 |
Salim Hasshu Stuart O’Connor Simon Colreavy-Donnelly Stefan Kuhn Fabio Caraffini |
format |
Conference Paper/Proceeding/Abstract |
container_title |
ECE Official Conference Proceedings |
publishDate |
2022 |
institution |
Swansea University |
isbn |
2188-1162 |
issn |
2188-1162 |
doi_str_mv |
10.22492/issn.2188-1162.2022.49 |
publisher |
The International Academic Forum(IAFOR) |
college_str |
Faculty of Science and Engineering |
hierarchytype |
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facultyofscienceandengineering |
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Faculty of Science and Engineering |
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facultyofscienceandengineering |
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Faculty of Science and Engineering |
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School of Mathematics and Computer Science - Computer Science{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Mathematics and Computer Science - Computer Science |
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description |
The Covid-19 pandemic has led to the adoption of face masks in physical teaching spaces across the world. This has in-turn presented a number of challenges for practitioners in the face to face delivery of content and in effectively engaging learners in practical settings, where face coverings are an ongoing requirement. Being unable to identify the mouth movements of a speaker due to the lower portion of the face being obscured can lead to issues in clarity, attention, emotional recognition, and trust attribution, negatively affecting the learning experience. This is further exacerbated for those who require specialist support and those with impairments, particularly those centred around hearing. EmotiMask embeds an LED matrix within a face mask to replicate mouth movements and emotional state through speech detection and intelligent processing. By cycling through different LED configurations, the matrix can approximate speech in-progress, as well as various mouth patterns linked to distinct emotional states. An initial study placed EmotiMask within a HE practical session containing 10 students, with results suggesting a positive effect on clarity and emotional recognition over typical face masks. Further feedback noted that it was easier to identify the current speaker with EmotiMask, however speech amplification, additional led configurations, and improved portability are desired points of refinement. This study represents a step towards a ubiquitous solution for tackling some of the challenges presented when teaching in a pandemic or similar situations where face coverings are a requirement and has potential value in other sectors where such scenarios present themselves. |
published_date |
2022-09-27T04:20:08Z |
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1763754334127915008 |
score |
11.021648 |