BLUETOOTH CONTROL SYSTEM ON ELECTRIC WHEELCHAIRS USING VOICE RECOGNITION

Eko Arianto(1*), Bernardinus Sri Widodo(2), Antonius Hendro Noviyanto(3), Nugroho Budi Wicaksono(4), Agatha Mahardika Anugrayuning Jiwatami(5)


(1) Universitas Sanata Dharma
(2) Universitas Sanata Dharma
(3) Universitas Sanata Dharma
(4) Universitas Sanata Dharma
(5) Universitas Sanata Dharma
(*) Corresponding Author

Abstract


Currently technology is highly developed and supports many new innovations. The most innovation is wireless technology and voice recognition. One of the widely used wireless technology is Bluetooth. By utilizing Bluetooth connectivity and voice recognition applications on smart phones, it can be used to control electronic equipment. In this study, voice recognition applications and Bluetooth connections will be used on smart phones to control electric wheelchairs. This research begins with designing an electric wheelchair. For Bluetooth communication using the HC-05 Bluetooth module. The wheelchair was developed by modifying conventional wheelchairs to become electric. The user or patient will control the wheelchair using his smart phone through the voice recognition application. Commands in the form of voice that will be sent by the smart phone and received by the HC-05 Bluetooth module, then become input for the Arduino microcontroller. The microcontroller will then process the input data and will instruct the motor driver to give instructions to the wheelchair driving motor. The electric wheelchair's voice control system with a Bluetooth connection can work quite well. The Bluetooth connection used in this electric wheelchair voice control system works optimally and well at a distance of <10 meters, the connection starts to drop at a distance of 10 to 23 meters, and the connection is lost when the distance is 30 meters. The results of the voice recognition test on voice commands were successful with an accuracy of 85%. The total test is 100 orders with a total error of 15 orders.


Keywords


voice control, voice control wheelchair, Bluetooth wheelchair, HP controlled wheelchair, voice command wheelchair, voice recognition, voice control on wheelchair, electric wheelchair,

Full Text:

PDF

References


Batan, I. M. L. (2006). Pengembangan Kursi Roda sebagai Upaya Peningkatan Ruang Gerak Penderita Cacat Kaki. Jurnal Teknik Industri, 2, 97–105.

Blaise, O. O., & D. Olujimi, A. (2020). A Comparative Review of Emerging Wireless Technology. International Journal of Scientific Research in Computer Science, Engineering and Information Technology, October, 163–175. https://doi.org/10.32628/cseit206536

Dewi, L. C. (2011). Wireless Technology Development: History, Now, and Then. ComTech: Computer, Mathematics and Engineering Applications, 2(2), 1224. https://doi.org/10.21512/comtech.v2i2.2936

Galvan, E., Gonzalez, G., Hernandez, G., Manon, S., & Ponce, H. (2017). Electric wheelchair module: Converting a mechanical to an electric wheelchair. 2017 IEEE Mexican Humanitarian Technology Conference, MHTC 2017, 70–74. https://doi.org/10.1109/MHTC.2017.7926208

Guo, J. K., Lu, C. L., Chang, J. Y., Li, Y. J., Huang, Y. C., Lu, F. J., & Hsu, C. W. (2009). Interactive voice-controller applied to home automation. IIH-MSP 2009 - 2009 5th International Conference on Intelligent Information Hiding and Multimedia Signal Processing, 828–831. https://doi.org/10.1109/IIH-MSP.2009.320

Kadirova, S. Y., & Nenov, T. R. (2020). Design of Power Wheelchair Controller. 2020 7th International Conference on Energy Efficiency and Agricultural Engineering, EE and AE 2020 - Proceedings, November, 17–20. https://doi.org/10.1109/EEAE49144.2020.9279065

Launuru, A. P., Manu, G., Tupan, H. K., & Hutagalung, R. (2021). Rancang Bangun Sistem Kontrol Nirkabel on – Off Peralatan Listrik Dengan Perintah Suara Menggunakan Smartphone Android. Jurnal Simetrik, 11(1), 388. https://doi.org/10.31959/js.v11i1.570

Mahmudi, H. (2021). Analisa Perhitungan Pulley dan V-Belt Pada Sistem Transmisi Mesin Pencacah. Jurnal Mesin Nusantara, 4(1), 40–46. https://doi.org/10.29407/jmn.v4i1.16201

Meng, X., & Song, Y. (2021). Application Research and Implementation of Voice Control System Based on Android Speech Recognition. Journal of Physics: Conference Series, 1865(4). https://doi.org/10.1088/1742-6596/1865/4/042122

Rusdi, M., & Yani, A. (2018). Sistem Kendali Peralatan Elektronik Melalui Media Bluetooth Menggunakan Voice Recognition. JET (Journal of Electrical Technology), 3(1), 27–33. https://jurnal.uisu.ac.id/index.php/jet/article/view/292

Takafumi, K., & Kong Aik, L. (2016). Special Issue on Social Value Creation Using Biometrics Safety, Security, and Convenience: The Benefits of Voice Recognition Technology. 13(2), 83–87.

Wigraha, A., Widayana, G., Pendidikan, J., Mesin, T., & Ganesha, U. P. (2017). Berjenis Timing Belt Dan Rantai Dengan Variasi Putaran Mesin Terhadap Torsi Dan Daya Kendaraan Pada Motor Vixion Tahun 2009.


Article Metrics

Abstract view : 320 times
PDF - 64 times

DOI: https://doi.org/10.26714/traksi.23.1.2023.%25p

Refbacks

  • There are currently no refbacks.


Copyright (c) 2023 TRAKSI

Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.


TRAKSI : Majalah Ilmiah Teknik Mesin

ISSN : 1693-3451 (Pinted) e-ISSN : 2579-9738 (Online)

Published by: LP2M Unimus bekerjasama dengan APTI (Asosiasi Profesi Teknik Indonesia)  

 
ADDRESS

Jl. Kasipah No. 12 Semarang

E-mail: traksi@unimus.ac.id Call: 0248445768


Sponsors

Asosiasi Profesi Teknik Indonesia (APTI)

Website: www.apti.or.id