Appliance Control with IOT-Arduino of Voice Command Detection for Mobility Impaired People

Authors

  • Aznilinda Zainuddin UNIVERSITI TEKNLOGI MARA
  • Nur Aliah Zubir UNIVERSITI TEKNLOGI MARA
  • Nor Aqilah Aminuddin UNIVERSITI TEKNLOGI MARA
  • Nur Dalila Khirul Ashar UNIVERSITI TEKNLOGI MARA
  • Mohd Ezwan Mahadan Universiti Teknologi MARA

DOI:

https://doi.org/10.3991/ijim.v15i23.22147

Keywords:

Internet of Things (IOT), voice detection, physical impairment technology, smart home, interfacing ESP8266.

Abstract


People with physical mobility disabilities experience limited ability to perform daily routine. Integration between home appliances and Internet of Thing (IoT) can be used to support these people. The technology allows tasks to be performed much more easily and enable access to applications and services that would be a challenge with existing digital user interfaces. However, the developed system that is commercially available is costly and equipped with highly specific interfaces which may require considerable technical competency to conduct system interfacing. The purpose of this study is to develop a low cost IOT system for voice-enabled lamp control by utilizing Google Assistant that is available in commercial Android based mobile devices, allowing user to operate lighting appliances without moving. Personal assistance using Google platform embedded with Arduino microcontroller, ESP8266-based NodeMCU development board and integrated Blynk application allow for remote monitoring capability. The system is remotely controlled from a tablet or smartphone to assist disabled people with restricted mobility, in particular those with lower limb disabilities. The system had been tested and demonstrated that the lamp control can be easily accessed by voice command that is then validated using voice pitch analyzer. Test result indicated that capability of the integrated voice control system is verified up to a maximum distance of 24.5 meter, making it a potential implementation in any customized smart home or room system for people with mobile disability.        

Author Biographies

Aznilinda Zainuddin, UNIVERSITI TEKNLOGI MARA

Aznilinda Zainuddin is a Senior Lecturer from Universiti Teknologi MARA (UiTM), Kampus Pasir Gudang. During her MSc, she involved in Nano-Electronics research work focusing on memristor. Her research expertise is on thin films and nanotechnology. Her current research interest is on inventive problem solving and machine learning on space weather.

       

Nur Aliah Zubir, UNIVERSITI TEKNLOGI MARA

Nur Aliah Zubir is a final year diploma student from Universiti Teknologi Mara (UiTM), Kampus Pasir Gudang. She participated in 1st IEEE Five Minutes Final Year Project (5MFYP) Competition 2020 organised by IEEE Young Professionals Malaysia and make it to the final round.

       

Nor Aqilah Aminuddin, UNIVERSITI TEKNLOGI MARA

Nor Aqilah Aminuddin is a final year diploma student from Universiti Teknologi Mara (UiTM), Kampus Pasir Gudang. She participated in 1st IEEE Five Minutes Final Year Project (5MFYP) Competition 2020 organised by IEEE Young Professionals Malaysia and won the 1st place under diploma category.

       

Nur Dalila Khirul Ashar, UNIVERSITI TEKNLOGI MARA

Nur Dalila K. A. is a Senior Lecturer from the Department of System, Faculty of Electrical Engineering, Universiti Teknologi MARA (UiTM), Kampus Pasir Gudang. She graduated from National University of Singapore (NUS) with MSc in Electrical Engineering. Her current interest is on engineering education and machine learning applications in space weather.

       

Mohd Ezwan Mahadan, Universiti Teknologi MARA

Mohd Ezwan Mahadan is a Senior Lecturer from Universiti Teknologi MARA (UiTM), Kampus Pasir Gudang which receives a Science Master’s Degree from Universiti Tun Hussein Onn Malaysia (UTHM). He involved in Power Electronics research work focusing on active power filter. His current research interest is on neutral-to-earth voltage.

       

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Published

2021-12-08

How to Cite

Zainuddin, A., Zubir, N. A., Aminuddin, N. A., Khirul Ashar, N. D., & Mahadan, M. E. (2021). Appliance Control with IOT-Arduino of Voice Command Detection for Mobility Impaired People. International Journal of Interactive Mobile Technologies (iJIM), 15(23), pp. 164–177. https://doi.org/10.3991/ijim.v15i23.22147

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Section

Papers