NAILS: Normalized Artificial Intelligence Labeling Sensor for Self-Care Health
Visual examination of nails can reflect human health status. Diseases such as nutritive imbalances and skin diseases can be identified by looking at the colors around the plate part of the nails. We present the AI-based NAILS method to detect fingernails through segmentation and labeling. The NAILS...
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MDPI AG
2024-12-01
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| Series: | Sensors |
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| Online Access: | https://www.mdpi.com/1424-8220/24/24/7997 |
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| author | Livio Tenze Enrique Canessa |
| author_facet | Livio Tenze Enrique Canessa |
| author_sort | Livio Tenze |
| collection | DOAJ |
| description | Visual examination of nails can reflect human health status. Diseases such as nutritive imbalances and skin diseases can be identified by looking at the colors around the plate part of the nails. We present the AI-based NAILS method to detect fingernails through segmentation and labeling. The NAILS leverages a pre-trained Convolutional Neural Network model to segment and label fingernail regions from fingernail images, normalizing RGB values to monitor tiny color changes via a GUI and the use of an HD webcam in real time. The use of normalized RGB values combined with AI-based segmentation for real-time health monitoring is novel and innovative. The NAILS algorithm could be used to self-extract and archive primary signs of diseases in humans, especially in rural areas or when other testing may be not available. |
| format | Article |
| id | doaj-art-a4c4e455b89e452a95aa1ecd02ddc2c6 |
| institution | DOAJ |
| issn | 1424-8220 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj-art-a4c4e455b89e452a95aa1ecd02ddc2c62025-08-20T02:56:55ZengMDPI AGSensors1424-82202024-12-012424799710.3390/s24247997NAILS: Normalized Artificial Intelligence Labeling Sensor for Self-Care HealthLivio Tenze0Enrique Canessa1The Abdus Salam International Centre for Theoretical Physics (ICTP), 34151 Trieste, ItalyThe Abdus Salam International Centre for Theoretical Physics (ICTP), 34151 Trieste, ItalyVisual examination of nails can reflect human health status. Diseases such as nutritive imbalances and skin diseases can be identified by looking at the colors around the plate part of the nails. We present the AI-based NAILS method to detect fingernails through segmentation and labeling. The NAILS leverages a pre-trained Convolutional Neural Network model to segment and label fingernail regions from fingernail images, normalizing RGB values to monitor tiny color changes via a GUI and the use of an HD webcam in real time. The use of normalized RGB values combined with AI-based segmentation for real-time health monitoring is novel and innovative. The NAILS algorithm could be used to self-extract and archive primary signs of diseases in humans, especially in rural areas or when other testing may be not available.https://www.mdpi.com/1424-8220/24/24/7997region-based image segmentationmachine learning algorithmfingernail color analysisearly disease detection |
| spellingShingle | Livio Tenze Enrique Canessa NAILS: Normalized Artificial Intelligence Labeling Sensor for Self-Care Health Sensors region-based image segmentation machine learning algorithm fingernail color analysis early disease detection |
| title | NAILS: Normalized Artificial Intelligence Labeling Sensor for Self-Care Health |
| title_full | NAILS: Normalized Artificial Intelligence Labeling Sensor for Self-Care Health |
| title_fullStr | NAILS: Normalized Artificial Intelligence Labeling Sensor for Self-Care Health |
| title_full_unstemmed | NAILS: Normalized Artificial Intelligence Labeling Sensor for Self-Care Health |
| title_short | NAILS: Normalized Artificial Intelligence Labeling Sensor for Self-Care Health |
| title_sort | nails normalized artificial intelligence labeling sensor for self care health |
| topic | region-based image segmentation machine learning algorithm fingernail color analysis early disease detection |
| url | https://www.mdpi.com/1424-8220/24/24/7997 |
| work_keys_str_mv | AT liviotenze nailsnormalizedartificialintelligencelabelingsensorforselfcarehealth AT enriquecanessa nailsnormalizedartificialintelligencelabelingsensorforselfcarehealth |