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A Wearable High-Resolution Facial Electromyography for Long Term Recordings in Freely Behaving Humans
Human facial expressions are a complex capacity, carrying important psychological and neurological information. Facial expressions typically involve the co-activation of several muscles; they vary between individuals, between voluntary versus spontaneous expressions, and depend strongly on personal...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5794977/ https://www.ncbi.nlm.nih.gov/pubmed/29391503 http://dx.doi.org/10.1038/s41598-018-20567-y |
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author | Inzelberg, Lilah Rand, David Steinberg, Stanislav David-Pur, Moshe Hanein, Yael |
author_facet | Inzelberg, Lilah Rand, David Steinberg, Stanislav David-Pur, Moshe Hanein, Yael |
author_sort | Inzelberg, Lilah |
collection | PubMed |
description | Human facial expressions are a complex capacity, carrying important psychological and neurological information. Facial expressions typically involve the co-activation of several muscles; they vary between individuals, between voluntary versus spontaneous expressions, and depend strongly on personal interpretation. Accordingly, while high-resolution recording of muscle activation in a non-laboratory setting offers exciting opportunities, it remains a major challenge. This paper describes a wearable and non-invasive method for objective mapping of facial muscle activation and demonstrates its application in a natural setting. We focus on muscle activation associated with “enjoyment”, “social” and “masked” smiles; three categories with distinct social meanings. We use an innovative, dry, soft electrode array designed specifically for facial surface electromyography recording, a customized independent component analysis algorithm, and a short training procedure to achieve the desired mapping. First, identification of the orbicularis oculi and the levator labii superioris was demonstrated from voluntary expressions. Second, the zygomaticus major was identified from voluntary and spontaneous Duchenne and non-Duchenne smiles. Finally, using a wireless device in an unmodified work environment revealed expressions of diverse emotions in face-to-face interaction. Our high-resolution and crosstalk-free mapping, along with excellent user-convenience, opens new opportunities in gaming, virtual-reality, bio-feedback and objective psychological and neurological assessment. |
format | Online Article Text |
id | pubmed-5794977 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-57949772018-02-12 A Wearable High-Resolution Facial Electromyography for Long Term Recordings in Freely Behaving Humans Inzelberg, Lilah Rand, David Steinberg, Stanislav David-Pur, Moshe Hanein, Yael Sci Rep Article Human facial expressions are a complex capacity, carrying important psychological and neurological information. Facial expressions typically involve the co-activation of several muscles; they vary between individuals, between voluntary versus spontaneous expressions, and depend strongly on personal interpretation. Accordingly, while high-resolution recording of muscle activation in a non-laboratory setting offers exciting opportunities, it remains a major challenge. This paper describes a wearable and non-invasive method for objective mapping of facial muscle activation and demonstrates its application in a natural setting. We focus on muscle activation associated with “enjoyment”, “social” and “masked” smiles; three categories with distinct social meanings. We use an innovative, dry, soft electrode array designed specifically for facial surface electromyography recording, a customized independent component analysis algorithm, and a short training procedure to achieve the desired mapping. First, identification of the orbicularis oculi and the levator labii superioris was demonstrated from voluntary expressions. Second, the zygomaticus major was identified from voluntary and spontaneous Duchenne and non-Duchenne smiles. Finally, using a wireless device in an unmodified work environment revealed expressions of diverse emotions in face-to-face interaction. Our high-resolution and crosstalk-free mapping, along with excellent user-convenience, opens new opportunities in gaming, virtual-reality, bio-feedback and objective psychological and neurological assessment. Nature Publishing Group UK 2018-02-01 /pmc/articles/PMC5794977/ /pubmed/29391503 http://dx.doi.org/10.1038/s41598-018-20567-y Text en © The Author(s) 2018 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Inzelberg, Lilah Rand, David Steinberg, Stanislav David-Pur, Moshe Hanein, Yael A Wearable High-Resolution Facial Electromyography for Long Term Recordings in Freely Behaving Humans |
title | A Wearable High-Resolution Facial Electromyography for Long Term Recordings in Freely Behaving Humans |
title_full | A Wearable High-Resolution Facial Electromyography for Long Term Recordings in Freely Behaving Humans |
title_fullStr | A Wearable High-Resolution Facial Electromyography for Long Term Recordings in Freely Behaving Humans |
title_full_unstemmed | A Wearable High-Resolution Facial Electromyography for Long Term Recordings in Freely Behaving Humans |
title_short | A Wearable High-Resolution Facial Electromyography for Long Term Recordings in Freely Behaving Humans |
title_sort | wearable high-resolution facial electromyography for long term recordings in freely behaving humans |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5794977/ https://www.ncbi.nlm.nih.gov/pubmed/29391503 http://dx.doi.org/10.1038/s41598-018-20567-y |
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