An orbicularis oris, buccinator, zygomaticus, and risorius muscle contraction classification for lip-reading during speech using sEMG signals on multi-channels
العنوان: | An orbicularis oris, buccinator, zygomaticus, and risorius muscle contraction classification for lip-reading during speech using sEMG signals on multi-channels |
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المؤلفون: | R. Raja Sudharsan, E. Muthu Kumaran, J. Deny |
المصدر: | International Journal of Speech Technology. 24:593-600 |
بيانات النشر: | Springer Science and Business Media LLC, 2021. |
سنة النشر: | 2021 |
مصطلحات موضوعية: | Linguistics and Language, medicine.diagnostic_test, business.industry, Computer science, Pattern recognition, Electromyography, Buccinator, Signal, Language and Linguistics, Human-Computer Interaction, Support vector machine, 030507 speech-language pathology & audiology, 03 medical and health sciences, medicine, Waveform, Computer Vision and Pattern Recognition, Artificial intelligence, medicine.symptom, 0305 other medical science, Risorius, business, Contraction (operator theory), Software, Muscle contraction |
الوصف: | The quantity and placement of surface electromyography cathodes have been concentrated broadly because of the need to improve the exactness of the order they complete of the expectation of development. By and by, expanding the quantity of channels utilized for this characterization frequently builds their preparing time too. This exploration work pays with a correlation of the grouping exactness dependent on the diverse quantity of surface electromyography signal put in the correct lower appendage of solid subjects (Human Beings). The examination is performed utilizing Zero Crossings (ZC), Mean Absolute Values (MAV), Slope Signal (SS), and Waveform Length (WL); these qualities contain the component vector. The calculation utilized for the arrangement is the SVM subsequent to applying a PCA to the highlights. The outcomes demonstrate that it is conceivable to arrive at over 95% of order precision by utilizing 11 or 10 channels. Also, the distinction got for 1500 tests-sample for 9, 10 and 11 channels, isn't higher than 4%, which implies that expanding the quantity of channels doesn't ensure 99.5% accuracy in the order. Therefore, these classification results the better understanding of Orbicularis Oris (OO), Buccinator (B), Zygomaticus (Z), and Risorius (R) Muscle contraction during speech of deaf and dumb patients. |
تدمد: | 1572-8110 1381-2416 |
URL الوصول: | https://explore.openaire.eu/search/publication?articleId=doi_________::d0542eca9379365551d989e8bd926ffe https://doi.org/10.1007/s10772-021-09816-0 |
حقوق: | CLOSED |
رقم الأكسشن: | edsair.doi...........d0542eca9379365551d989e8bd926ffe |
قاعدة البيانات: | OpenAIRE |
تدمد: | 15728110 13812416 |
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