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http://elartu.tntu.edu.ua/handle/lib/42705| Назва: | The Method of Commands Identification to Voice Control of the Electric Wheelchair |
| Автори: | Dozorskyi, Vasil Dediv, Iryna Sverstiuk, Sofiia Nykytyuk, Vyacheslav Karnaukhov, Andrii |
| Бібліографічний опис: | Dozorskyi V., Dediv I., Sverstiuk S., Nykytyuk V., Karnaukhov A. The Method of Commands Identification to Voice Control of the Electric Wheelchair. Proceedings of the 1st International Workshop on Computer Information Technologies in Industry 4.0 (CITI 2023). CEUR Workshop Proceedings. Ternopil, Ukraine, June 14-16, 2023. P.233-240. ISSN 1613-0073.CEUR Workshop Proceedings. Ternopil, Ukraine |
| Конференція/захід: | The 1st International Workshop on «Computer Information Technologies in Industry 4.0» (CITI-2023) |
| Дата публікації: | 14-чер-2023 |
| Дата подання: | 31-жов-2023 |
| Дата внесення: | 31-жов-2023 |
| Видавництво: | CEUR Workshop Proceedings |
| Країна (код): | UA |
| Місце видання, проведення: | CEUR Workshop Proceedings. Ternopil, Ukraine |
| Теми: | Electric wheelchair voice control sliding window main tone frequency |
| Діапазон сторінок: | 233-240 |
| Короткий огляд (реферат): | The paper shows the relevance of the task of improving the electric wheelchair control system for patients with lost or functionally limited upper limbs. A method of indirect control using voice commands is proposed. At the same time, the biometric principle is used, according to which, in the process of voice signal analysis, signs that are biometric parameters of the patient's speech are identified to prevent the operation of the control system when registering similar commands from outsiders. The main such sign is the value of the main tone frequency. To process voice signals in order to identify the four main control commands, namely forward, backward, left and right, the sliding window method is used, within which the presence of signs of the main tone is evaluated. For a specific person, this value will be individual and present only in those parts of the voice signal that correspond to vowels and consonant vocalized sounds. In this way, it is possible to segment the voice signal into such areas and identify individual voice commands based on pre-set durations of these areas. A threshold function is also used for this, which takes a certain value when the main tone frequency is present in the voice signal structure within each implementation of the sliding window and is equal to zero when there are no signs of this frequency. At the same time, it became possible to identify individual commands with higher accuracy. |
| Зміст: | Abstract; 1. Introduction; 2. Materials and Methods; 3. Experiment and Results; 4. Conclusion; 5. References. |
| URI (Уніфікований ідентифікатор ресурсу): | http://elartu.tntu.edu.ua/handle/lib/42705 |
| ISBN: | 1613-0073 |
| Власник авторського права: | © Vasil Dozorskyi, Iryna Dediv, Sofiia Sverstiuk, Vyacheslav Nykytyuk, Andrii Karnaukhov |
| References: | [1] World Health Organization. URL: https://www.who.int/ [2] State Statistics Service of Ukraine. URL: https://www.ukrstat.gov.ua/ [3] National Assembly of People with Disabilities of Ukraine. URL: https://www.facebook.com/vgonaiu/posts/1709214279269040/?locale=hi_IN [4] Electric wheelchairs. URL: https://techno-med.com.ua/ua/elektrokoljaski [5] Wheelie 7. URL: https://theindexproject.org/award/nominees/3326 [6] Yes, mind-controlled wheelchairs are a thing. URL: https://psmag.com/environment/mindcontrolled-wheelchairs-are-here [7] Voice control bluetooth mobile phone control system for wheelchair. URL: https://inclusiveinc.org/uk-ua/products/vocalize-wheelchair [8] Hevko, B.M., Hevko, R.B., Klendii, O.M., Buriak M.V., Dzyadykevych, Y.V., Rozum, R.I. Improvement of machine safety devices. Acta Polytechnica, 58(1), pp. 17-25 (2018) [9] Buketov, A., Maruschak, P., Sapronov, O., Zinchenko, D., Yatsyuk, V., Panin, S. Enhancing performance characteristics of equipment of sea and river transport by using epoxy composites. Transport, 31(3), pp. 333-342 (2016) [10] What is Biometric Authentication? By Dean Nicolls, 2019. URL: https://www.jumio.com/whatis-biometric-authentication/ [11] Martsenyuk, V., Klos-Witkowska, A., Sverstiuk, A., Bernas, M., Witos, K. Intelligent big data system based on scientific machine learning of cyber-physical systems of medical and biological processes. CEUR Workshop Proceedings, 2021, Vol. 2864, pp. 34–48. https://ceur-ws.org/Vol2864/paper4.pdf [12] Lypak, H., Rzheuskyi, A., Kunanets, N., Pasichnyk, V. Formation of a Consolidated Information Resource by Means of Cloud Technologies. 2018 International Scientific-Practical Conference on Problems of Infocommunications Science and Technology, PIC S and T 2018 – Proceedings 8632106, pp. 157-160 [13] Martsenyuk, V., Sverstiuk, A., Bahrii-Zaiats, O., Rudyak, Y., Shelestovskyi, B. Software complex in the study of the mathematical model of cyber-physical systems. CEUR Workshop Proceedings, 2020, Vol. 2762, pp. 87–97. https://ceur-ws.org/Vol-2762/paper5.pdf [14] Geoffrey S. Meltzner, James T. Heaton, Yunbin Deng, Gianluca De Luca, Serge H. Roy, and Joshua C. Kline: Silent Speech Recognition as an Alternative Communication Device for Persons with Laryngectomy, IEEE/ACM Trans Audio Speech Lang Process, pp. 2386–2398 (2017). [15] Dozorskyi V.G., Dozorska O.F., Yavorska E.B.: Selection and processing of biosignals for the task of Human Communicative Function Restoration, Kremenchug National University, 4(105), pp. 9-14 (2017). [16] Vyacheslav Nykytyuk, Vasyl Dozorskyi, Oksana Dozorska: Detection of biomedical signals disruption using a sliding window, Scientific Journal of TNTU, Ternopil, 91(3), pp. 125–133 (2018). [17] Martsenyuk, V., Sverstiuk, A., Klos-Witkowska, A., Horkunenko, A., Rajba, S. Vector of diagnostic features in the form of decomposition coefficients of statistical estimates using a cyclic random process model of cardiosignal. Proceedings of the 2019 10th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications, IDAACS 2019, Vol. 1, pp. 298–303. DOI: 10.1109/IDAACS.2019.8924398. |
| Тип вмісту: | Conference Abstract |
| Розташовується у зібраннях: | Наукові публікації працівників кафедри радіотехнічних систем |
Файли цього матеріалу:
| Файл | Опис | Розмір | Формат | |
|---|---|---|---|---|
| The Method of Commands Identification to Voice Control of the Electric Wheelchair.pdf | 1,78 MB | Adobe PDF | Переглянути/відкрити |
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