An orbicularis oris, buccinator, zygomaticus, and risorius muscle contraction classification for lip-reading during speech using sEMG signals on multi-channels

التفاصيل البيبلوغرافية
العنوان: An orbicularis oris, buccinator, zygomaticus, and risorius muscle contraction classification for lip-reading during speech using sEMG signals on multi-channels
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