Appliance Control with IOT-Arduino of Voice Command Detection for Mobility Impaired People
DOI:
https://doi.org/10.3991/ijim.v15i23.22147Keywords:
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.
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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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This work is licensed under a Creative Commons Attribution 4.0 International License.