Conference Paper2016Cited by 12

A road to independent living with smart homes for people with disabilities

Eshtiak Ahmed, Ashraful Islam, Farhana Sarker, Mohammad Nurul Huda, Khondaker Abdullah-Al-Mamun

2016 5th International Conference on Informatics, Electronics and Vision (ICIEV)

IEEE, pp. 472–477

  • Reduced Inequalities — Relevance: 82%
  • Sustainable Cities and Communities — Relevance: 60%
DOI: 10.1109/iciev.2016.7760048URL

Abstract

Nearly one billion people are suffering from various disabilities around the world. People in developed countries have resources, facilities and technologies to cope up while in developing countries, they suffer more due to lack of facilities and assistive technologies. Many technologies have been considered as cost effective solution to overcome the limitations in developing countries and Smart Home (SH) is one them. SH is a vision of home automation system that interacts with the users to provide comfort and ease of access. SH embedded with assistive technologies can provide better living facilities for disabled people. As a result they can control home appliances without movement and interact better with their surroundings. It could help improving their confidence and self-esteem thus, enhancing the quality of life. In this study, we have presented SH system for disabled people that can improve their lives, focusing on the key features, major challenges and potentials of SHs.

Keywords

  • Home automation
  • Independent living
  • Assistive technology
  • people with disabilities
  • quality of life
  • home appliance control
  • developing countries

CCDS Authors

Eshtiak Ahmed
Eshtiak Ahmed

Eshtiak Ahmed

  • Collaborator, HCI Wing

  • Doctoral Researcher

    Gamification Group

    Tampere University, Finland

Published at

UbiComp, ICIP, HCII, IEEE Access

Ashraful Islam, PhD
Ashraful Islam

Ashraful Islam, PhD

  • Center Director, CCDS
  • Director, HCI Wing

Published at

CHI, UIST, UbiComp, IJCNN, ICIP, HCII, ICDMW, BLP, Pattern Recognition, IEEE Internet of Things Journal, JMIR, JMIR Human Factors, JMIR Formative Research, IEEE Access, Smart Agricultural Technology, Diabetes Research and Clinical Practice, PLOS ONE

Farhana Sarker, PhD
Farhana Sarker, PhD

Farhana Sarker, PhD

  • Director, WiSE Wing

  • Associate Professor

    Department of Computer Science and Engineering

    Independent University, Bangladesh (IUB)

Published at

ICDMW, IEEE Access

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  2. 2.Varun Tiwari, Mohammad Farukh Hashmi, Avinash Keskar, N.C. Shivaprakash. (2018). Speaker identification using multi-modal i-vector approach for varying length speech in voice interactive systems. Cognitive Systems Research, 57, 66–77[10.1016/j.cogsys.2018.09.028]
  3. 3.Md Abdullah Al Nasim, Atiqul Islam Chowdhury, Jannatun Naeem Muna, Faisal Muhammad Shah. (2021). An Automated Approach for the Recognition of Bengali License Plates. 2021 International Conference on Electronics, Communications and Information Technology (ICECIT), 1–4[10.1109/icecit54077.2021.9641214]
  4. 4.Atiqul Islam Chowdhury, Mohsena Ashraf, Ashraful Islam, Eshtiak Ahmed, Md. Saroar Jaman, Mohammad Masudur Rahman. (2020). hActNET: An Improved Neural Network based Method in Recognizing Human Activities. 2020 4th International Symposium on Multidisciplinary Studies and Innovative Technologies (ISMSIT), 3, 1–6[10.1109/ismsit50672.2020.9254992]
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