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Voice Controlled Wheelchair with Home Automation

by Shoeb Khan, Neamat Ansari, Md. Mudassir, Safi Nazimuddin, Geeta Desai
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 186 - Number 23
Year of Publication: 2024
Authors: Shoeb Khan, Neamat Ansari, Md. Mudassir, Safi Nazimuddin, Geeta Desai
10.5120/ijca2024923680

Shoeb Khan, Neamat Ansari, Md. Mudassir, Safi Nazimuddin, Geeta Desai . Voice Controlled Wheelchair with Home Automation. International Journal of Computer Applications. 186, 23 ( May 2024), 43-49. DOI=10.5120/ijca2024923680

@article{ 10.5120/ijca2024923680,
author = { Shoeb Khan, Neamat Ansari, Md. Mudassir, Safi Nazimuddin, Geeta Desai },
title = { Voice Controlled Wheelchair with Home Automation },
journal = { International Journal of Computer Applications },
issue_date = { May 2024 },
volume = { 186 },
number = { 23 },
month = { May },
year = { 2024 },
issn = { 0975-8887 },
pages = { 43-49 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume186/number23/voice-controlled-wheelchair-with-home-automation/ },
doi = { 10.5120/ijca2024923680 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-05-31T22:32:03.069563+05:30
%A Shoeb Khan
%A Neamat Ansari
%A Md. Mudassir
%A Safi Nazimuddin
%A Geeta Desai
%T Voice Controlled Wheelchair with Home Automation
%J International Journal of Computer Applications
%@ 0975-8887
%V 186
%N 23
%P 43-49
%D 2024
%I Foundation of Computer Science (FCS), NY, USA
Abstract

This research presents a novel voice-controlled wheelchair system that integrates with home automation technologies to enhance mobility and independence for individuals with disabilities. Through a multidisciplinary approach, this project addresses the limitations of existing assistive devices by leveraging state-of-the-art voice recognition and machine learning techniques. The primary objectives of this study were twofold: first, to develop a highly accurate and reliable voice controlled wheelchair system capable of interpreting user commands with precision. Second, to seamlessly integrate this system with home automation devices, enabling users to control their living environments through natural voice commands. The research methodology combines hardware design, software development, and machine learning algorithms. The results of this project demonstrate significant advancements in assistive technology, offering a comprehensive solution that empowers users with increased independence and an improved quality of life. The integration of voice control and home automation features represents an approach that holds broader implications for the fields of assistive technology and healthcare.

References
  1. World Health Organization. (2024, January 2). Assistive technology [Fact Sheet]. Retrieved from https://www.who.int/news-room/fact-sheets/detail/assistive-technology.
  2. Balance Mobility. "What are the Different Types of Wheelchairs?" Balance Mobility, 2 January 2024, https://www.balancemobility.com.au/blog/what-are-the-different-types-of-wheelchairs.
  3. Torkia, Caryne, et al. "Power wheelchair driving challenges in the community: a users’ perspective." Disability and Rehabilitation: Assistive Technology 10.3 (2015): 211-215.
  4. K. Dalsaniya and D. H. Gawali, "Smart phone based wheelchair navigation and home automation for disabled," 2016 10th International Conference on Intelligent Systems and Control (ISCO), Coimbatore, India, 2016, pp. 1-5, doi: 10.1109/ISCO.2016.7727033.
  5. Mane, Vijay, et al. "Voice Controlled Wheelchair." 2023 2nd International Conference on Vision Towards Emerging Trends in Communication and Networking Technologies (ViTECoN). IEEE, 2023.
  6. Krishna, H., Emani, S., Manapaka, R., & Rao, S. P. V. S. (2021). Voice Controlled and Joystick Based Wheel Chair for Differently Abled People. International Research Journal of Modernization in Engineering, Technology and Science, 3(6), 3111-3114.
  7. Wilson Shen. (2014). Voice Recognition Module v3 [Datasheet]. Elochouse https://www.elechouse.com/elechouse/images/product/VR3/VR3_manual.pdf.
  8. M. Joly, Arun Pradeep, Kavitha S. “Intelligent Voice Controlled Wheel Chair for Disabled People”. Cardiometry; Issue No. 26; February 2023; p. 532-536; DOI: 10.18137/cardiometry.2023.26.532536.
  9. Abdullah, Salahuddin, et al. “Smart Wheelchair with Voice Control for Physically Challenged People“ European Journal of Engineering and Technology Research 3.12 (2021): 97-102.
  10. P.Patel, N. Gupta and S. Gajjar, "Real Time Voice Recognition System using Tiny ML on Arduino Nano 33 BLE," 2023 IEEE International Symposium on Smart Electronic Systems (iSES), Ahmedabad, India, 2023, pp. 385-388,
  11. Sharifuddin, M. S. I., Nordin, S., & Ali, A. M. (2020). Comparison of CNNs and SVM for voice control wheelchair. IAES International Journal of Artificial Intelligence, 9(3), 387.
  12. D. D. Prasad, G. J. Mallika, S. U. Farooq, A. Tanmaie, D. R. Krishna and S. Pramod, "Voice controlled home automation," 2021 Second International Conference on Electronics and Sustainable Communication Systems (ICESC), Coimbatore, India, 2021, pp. 673-678.
  13. (2018) Speech commands dataset version 2. [Online]. Available: http://download.tensorflow.org/data/speech_commands_v0.02.tar.gz
  14. Warden, Pete. "Speech Commands: A Dataset for Limited-Vocabulary Speech Recognition." ArXiv, 2018, /abs/1804.03209. Accessed 10 Jan. 2024.
  15. Atomic14, "DIY Alexa: Create Your Own Voice Assistant with ESP32 & TensorFlow Lite!”, YouTube, 6 Dec 2020. [Online]. Available: https://youtu.be/re-dSV_a0tM?feature=shared [Accessed 14 Jan. 2024].
  16. Rui Santos and Sara Santos. "ESP32 Client-Server Wi-Fi Communication Between Two Boards." Random Nerd Tutorials, 17 Jan. 2024, https://randomnerdtutorials.com/esp32-client-server-wi-fi/
  17. "Rewrite the text using more academic and scientific language. Avoid repetitions of words and phrases" prompt. Cluade 3, Haiku, Cluade, 16 Apr. 2024. https://claude.ai/chat.
Index Terms

Computer Science
Information Sciences

Keywords

Voice-controlled wheelchair Speech recognition ESP32 CNN Home automation Obstacle detection

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