kaz29Вестник Казахстанско-Британского технического университетаHerald of the Kazakh-British Technical University1998-66882959-8109Казахстанско-Британский Технический Университетkaz29-51Research ArticleФИЗИКО-МАТЕМАТИЧЕСКИЕ И ТЕХНИЧЕСКИЕ НАУКИPHYSICAL, MATHEMATICAL AND TECHNICAL SCIENCESСРАВНИТЕЛЬНЫЙ АНАЛИЗ АЛГОРИТМОВ РАСПОЗНАВАНИЯ ЖЕСТОВ РУК НА БАЗЕ РАЗЛИЧНОГО ПРЕДСТАВЛЕНИЯ ИЗОБРАЖЕНИЙCOMPARATIVE ANALYSIS OF RECOGNITION ALGORITHMS FOR HAND GESTURES ON THE BASIS OF VARIOUS REPRESENTATIONS OF IMAGESАмиргалиевЕ. Н.AmirgaliyevY.

к. ф.-м. н., профессор, ГНС

АйтимовА.AitimovA.

докторант PhD

АмиргалиевБ.AmirgaliyevB.

ассоц. профессор

КинабайБ.KynabayB.

магистрант

Университет им. Сулеймана Демиреля; Институт информационных и вычислительных технологий КН МОН РККазахстанSuleyman Demirel University; Institute of Information and Computational TechnologiesKazakhstanМеждународный университет информационных технологийКазахстанInternational University of Information TechnologiesKazakhstanУниверситет им. Сулеймана ДемиреляКазахстанInstitute of Information and Computational TechnologiesKazakhstan2019031120211615054Copyright © Амиргалиев Е.Н., Айтимов А., Амиргалиев Б., Кинабай Б., 20212021Амиргалиев Е.Н., Айтимов А., Амиргалиев Б., Кинабай Б.Amirgaliyev Y., Aitimov A., Amirgaliyev B., Kynabay B.Данная работа распространяется под лицензией Creative Commons Attribution 4.0.This work is licensed under a Creative Commons Attribution 4.0 License.https://vestnik.kbtu.edu.kz/jour/article/view/51

В данное время в мире создано множество различных алгоритмов для распознавания жестов рук. В данной работе авторами рассмотрены и предложены различные алгоритмы распознавания жестов, чтобы определить наилучшее среди них с точки зрения скорости и качества распознавания. Алгоритмы, такие как K Nearest Neighbors, Decision Trees, Logistic Regression, сравнивались с двумя методами представления изображений. По результатам исследовательской работы Logistic Regression с использованием необработанного пиксельного метода показывает наилучший результат по скорости и по качеству распознавания по сравнению с другими алгоритмами.

At this time, the world has created many different algorithms for recognizing hand gestures. In this paper, the authors reviewed and proposed various gesture recognition algorithms to determine the best among them in terms of speed and quality of recognition. The algorithms like K Nearest Neighbors, Decision Trees, Logistic Regression was compared with two methods of representation pictures. The results showed us that the Logistic Regression with using Raw pixel method better than other algorithms.

жест рукопределение жестовKNND-TreeLogitмашинное обучениераспознавание и обработка изображенийhand gesturesign gestureKNND-TreeLogitmachine learningMLimage recognition and processingReferencesDavi Hirafuji Neiva, Cleber Zanchettin. “Gesture recognition: A review focusing on sign language in a mobile context”, Expert Systems with Applications, 2018Davi Hirafuji Neiva, Cleber Zanchettin. “Gesture recognition: A review focusing on sign language in a mobile context”, Expert Systems with Applications, 2018Shahriar Shamiluulu, Moussa Mahamat Boukar, Zulfiya Yussupova. “Medical tool for assisting patients in Kazakhstan polyclinics”, 2017 13 th International Conference on Electronics, Computer and Computation (ICECCO), 2017Shahriar Shamiluulu, Moussa Mahamat Boukar, Zulfiya Yussupova. “Medical tool for assisting patients in Kazakhstan polyclinics”, 2017 13 th International Conference on Electronics, Computer and Computation (ICECCO), 2017M. Stampar, K. Fertalj. “Artificial intelligence in network intrusion detection”, 2015 38th International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO), 2015M. Stampar, K. Fertalj. “Artificial intelligence in network intrusion detection”, 2015 38th International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO), 2015E. M. Simonsick, J. M. Guralnik, S. Volpato, J. Balfour, L. P. Fried, Just get out the door! importance of walking outside the home for maintaining mobility: findings from the women’s health and aging study, Journal of the American Geriatrics Society 53 (2) (2005) 198-203.E. M. Simonsick, J. M. Guralnik, S. Volpato, J. Balfour, L. P. Fried, Just get out the door! importance of walking outside the home for maintaining mobility: findings from the women’s health and aging study, Journal of the American Geriatrics Society 53 (2) (2005) 198-203.S. E. Hardy, Y. Kang, S. A. Studenski, H. B. Degenholtz, Ability to walk 1/4 mile predicts subsequent disability, mortality, and health care costs, Journal of general internal medicine 26 (2) (2011)130-135.S. E. Hardy, Y. Kang, S. A. Studenski, H. B. Degenholtz, Ability to walk 1/4 mile predicts subsequent disability, mortality, and health care costs, Journal of general internal medicine 26 (2) (2011)130-135.Global recommendations on physical activity for health. world health organization. URL: https://www.who.int/home/cms-decommissioningGlobal recommendations on physical activity for health. world health organization. URL: https://www.who.int/home/cms-decommissioningPhysical activity guidelines for americans. u.s. department of health and human services. URL: http://health.gov/paguidelinesPhysical activity guidelines for americans. u.s. department of health and human services. URL: http://health.gov/paguidelinesNike+ run club app. URL: https://www.nike.com/us/enus/c/nike-plus/running-app-gpsNike+ run club app. URL: https://www.nike.com/us/enus/c/nike-plus/running-app-gpsRunkeeper app. URL https://runkeeper.com/Runkeeper app. URL https://runkeeper.com/Mapmyrun app. URL http://www.mapmyrun.com/Mapmyrun app. URL http://www.mapmyrun.com/T. Park, J. Lee, I. Hwang, C. Yoo, L. Nachman, J. Song, E-gesture: a collaborative architecture for energy-efficient gesture recognition with hand-worn sensor and mobile devices, in: Proceedings of the ACM SenSys, ACM, 2011, pp. 260-273.T. Park, J. Lee, I. Hwang, C. Yoo, L. Nachman, J. Song, E-gesture: a collaborative architecture for energy-efficient gesture recognition with hand-worn sensor and mobile devices, in: Proceedings of the ACM SenSys, ACM, 2011, pp. 260-273.J. Viterbi, Error bounds for convolutional codes and an asymptotically optimum decoding algorithm, in: The Foundations Of The Digital Wireless World: Selected Works of AJ Viterbi, World Scientific, 2010, pp. 41-50.J. Viterbi, Error bounds for convolutional codes and an asymptotically optimum decoding algorithm, in: The Foundations Of The Digital Wireless World: Selected Works of AJ Viterbi, World Scientific, 2010, pp. 41-50.K. Murao, T. Terada, A recognition method for combined activities with accelerometers, in: Proceedings of the ACM UbiComp, ACM, 2014, pp. 787-796.K. Murao, T. Terada, A recognition method for combined activities with accelerometers, in: Proceedings of the ACM UbiComp, ACM, 2014, pp. 787-796.H. Junker, O. Amft, P. Lukowicz, G. Troster, Gesture spotting with body-worn inertial sensors to detect user activities, Pattern Recognition ' 41 (6) (2008) 2010-2024.H. Junker, O. Amft, P. Lukowicz, G. Troster, Gesture spotting with body-worn inertial sensors to detect user activities, Pattern Recognition ' 41 (6) (2008) 2010-2024.Parate, M.-C. Chiu, C. Chadowitz, D. Ganesan, E. Kalogerakis, Risq: Recognizing smoking gestures with inertial sensors on a wristband, in: Proceedings of the ACM MobiSys, ACM, 2014, pp. 149-161.Parate, M.-C. Chiu, C. Chadowitz, D. Ganesan, E. Kalogerakis, Risq: Recognizing smoking gestures with inertial sensors on a wristband, in: Proceedings of the ACM MobiSys, ACM, 2014, pp. 149-161.H. Zhao, S. Wang, G. Zhou, D. Zhang, Ultigesture: A wristband-based platform for continuous gesture control in healthcare, Smart Health.H. Zhao, S. Wang, G. Zhou, D. Zhang, Ultigesture: A wristband-based platform for continuous gesture control in healthcare, Smart Health.P. Alfeld, A trivariate clough—tocher scheme for tetrahedral data, Computer Aided Geometric Design 1 (2) (1984) 169-181.P. Alfeld, A trivariate clough—tocher scheme for tetrahedral data, Computer Aided Geometric Design 1 (2) (1984) 169-181.M. Hall, E. Frank, G. Holmes, B. Pfahringer, P. Reutemann, I. H. Witten, The weka data mining software: an update, Proceedings of the ACM SIGKDD 11 (1) (2009) 10-18.M. Hall, E. Frank, G. Holmes, B. Pfahringer, P. Reutemann, I. H. Witten, The weka data mining software: an update, Proceedings of the ACM SIGKDD 11 (1) (2009) 10-18.

The authors declare that there are no conflicts of interest present.