Automatic Facial Palsy, Age and Gender Detection Using a Raspberry Pi Article Swipe
Ali Saber Amsalam
,
Ali Al‐Naji
,
Ammar Yahya Daeef
,
Javaan Chahl
·
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.3390/biomedinformatics3020031
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.3390/biomedinformatics3020031
Facial palsy (FP) is a neurological disorder that affects the facial nerve, specifically the seventh nerve, resulting in the patient losing control of the facial muscles on one side of the face. It is an annoying condition that can occur in both children and adults, regardless of gender. Diagnosis by visual examination, based on differences in the sides of the face, can be prone to errors and inaccuracies. The detection of FP using artificial intelligence through computer vision systems has become increasingly important. Deep learning is the best solution for detecting FP in real-time with high accuracy, saving patients time, effort, and cost. Therefore, this work proposes a real-time detection system for FP, and for determining the patient’s gender and age, using a Raspberry Pi device with a digital camera and a deep learning algorithm. The solution facilitates the diagnosis process for both the doctor and the patient, and it could be part of a medical assessment activity. This study used a dataset of 20,600 images, containing 19,000 normal images and 1600 FP images, to achieve an accuracy of 98%. Thus, the proposed system is a highly accurate and capable medical diagnostic tool for detecting FP.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.3390/biomedinformatics3020031
- https://www.mdpi.com/2673-7426/3/2/31/pdf?version=1686654909
- OA Status
- diamond
- Cited By
- 8
- References
- 41
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4380682620
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4380682620Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.3390/biomedinformatics3020031Digital Object Identifier
- Title
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Automatic Facial Palsy, Age and Gender Detection Using a Raspberry PiWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2023Year of publication
- Publication date
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2023-06-13Full publication date if available
- Authors
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Ali Saber Amsalam, Ali Al‐Naji, Ammar Yahya Daeef, Javaan ChahlList of authors in order
- Landing page
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https://doi.org/10.3390/biomedinformatics3020031Publisher landing page
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https://www.mdpi.com/2673-7426/3/2/31/pdf?version=1686654909Direct link to full text PDF
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diamondOpen access status per OpenAlex
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https://www.mdpi.com/2673-7426/3/2/31/pdf?version=1686654909Direct OA link when available
- Concepts
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Artificial intelligence, Palsy, Raspberry pi, Computer science, Face (sociological concept), Computer vision, Deep learning, Process (computing), Medicine, Internet of Things, Sociology, Pathology, Embedded system, Operating system, Alternative medicine, Social scienceTop concepts (fields/topics) attached by OpenAlex
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8Total citation count in OpenAlex
- Citations by year (recent)
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2025: 1, 2024: 6, 2023: 1Per-year citation counts (last 5 years)
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41Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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| best_oa_location.raw_source_name | BioMedInformatics |
| best_oa_location.landing_page_url | https://doi.org/10.3390/biomedinformatics3020031 |
| primary_location.id | doi:10.3390/biomedinformatics3020031 |
| primary_location.is_oa | True |
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| primary_location.source.is_oa | True |
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| primary_location.source.is_core | True |
| primary_location.source.is_in_doaj | True |
| primary_location.source.display_name | BioMedInformatics |
| primary_location.source.host_organization | |
| primary_location.source.host_organization_name | |
| primary_location.license | cc-by |
| primary_location.pdf_url | https://www.mdpi.com/2673-7426/3/2/31/pdf?version=1686654909 |
| primary_location.version | publishedVersion |
| primary_location.raw_type | journal-article |
| primary_location.license_id | https://openalex.org/licenses/cc-by |
| primary_location.is_accepted | True |
| primary_location.is_published | True |
| primary_location.raw_source_name | BioMedInformatics |
| primary_location.landing_page_url | https://doi.org/10.3390/biomedinformatics3020031 |
| publication_date | 2023-06-13 |
| publication_year | 2023 |
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| corresponding_author_ids | https://openalex.org/A5000023371, https://openalex.org/A5062247030 |
| countries_distinct_count | 2 |
| institutions_distinct_count | 4 |
| corresponding_institution_ids | https://openalex.org/I170239107, https://openalex.org/I4210115078 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/4 |
| sustainable_development_goals[0].score | 0.41999998688697815 |
| sustainable_development_goals[0].display_name | Quality Education |
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| citation_normalized_percentile.is_in_top_10_percent | True |