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.

Highlights

  • In 2017, more than one billion people worldwide are suffering from mobility impairment

  • The aim of this study is to develop the Internet of Thing (IoT) voice-enabled device with low-cost controller and open-source platform as end product realization

  • The input module utilizes If This Then That (IFTTT) Platform to connect the applets to the Google Assistant voice recognition system, which will transmit data to controller module that is comprised of Arduino UNO microcontroller and ESP8266based NodeMCU

Read more

Summary

Introduction

In 2017, more than one billion people worldwide are suffering from mobility impairment. This accounts for 15% of the world population and the figure is projected to increase due to global increase in ageing population and chronic health conditions [1]. 23.8% of European population is expected to reach 65 years or older by year 2030, and researchers are looking for technological improvement in home environment that could help with performing tasks and health management [2]. The limitation of movement due to disability significantly diminishes quality of life, even making the process of completing simple tasks or operating any equipment almost impossible. Some examples may include considerations in home layout, accessibility of building (doors, window), ease of equipment operations, etc

Objectives
Methods
Findings
Discussion
Conclusion
Full Text
Published version (Free)

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call