Voice Enabled Smart Home Assistant for Elderly

Authors

  • Perumal S Dept. of Computer Science, Dr. Mahalingam College of Engineering & Technology, Tamil Nadu, India
  • Javid MS Dept. of Computer Science, Dr. Mahalingam College of Engineering & Technology, Tamil Nadu, India

DOI:

https://doi.org/10.26438/ijcse/v7i11.3037

Keywords:

Personal Assistant, Natural Language Processing, Voice Recognition

Abstract

In this paper we present our project that focuses on developing a Voice enabled Smart Home Assistant that will help find items in a home and also support natural and secure interaction using voice recognition.The software will be helpful for elderly people and those with Alzheimer`s disease to help find items at home. It can also be used by people who often forget where they keep their things as well as large organizations to manage complex inventory, without the friction and multiple steps of keeping inventory updated. The project will be relevant to society, as users will be able to communicate with the Smart Home Assistant in a natural way and security will also be ensured as no unknown users will have access to the software. The software can also be accessed through mobile application.The Voice enabled Smart Home Assistant will employ natural language processing techniques to understand the user’s request to identify the location of the object and report it to the user. The software will be integrated with Amazon Alexa which is a cloud-based voice service and the users can access the software using the Amazon Echo device.

References

[1] Hyunji Chung, Sangjin Lee , “Intelligent Virtual Assistant knows your Life”, Computers and Society, Vol. 42, pp. 201–213, 2017.

[2] Abhay Dekate, Chaitanya Kulkarni , Rohan Killedar , “Study of Voice Controlled Personal Assistant Device”, International Journal of Computer Trends and Technology(IJCTT),Vol.42, Issue.1, pp. 52–63, 2016.

[3] Veton Kepuska , “Comparing Speech Recognition Systems(Microsoft API,Google API and CMU Sphinx)”, International Journal of Engineering Research and Application, Vol.07, Issue.3(Part-2), pp. 20-24, 2017.

[4] Ashiq Anjum, “Video Stream Analysis in Clouds: An Object Detection and Classification Framework for High Performance Video Analytics”, Proceeding of Transactions on Cloud Computing, University of Derby, United Kingdom, pp. 125–218.

Downloads

Published

2019-11-30
CITATION
DOI: 10.26438/ijcse/v7i11.3037
Published: 2019-11-30

How to Cite

[1]
S. Perumal and M. S. Javid, “Voice Enabled Smart Home Assistant for Elderly ”, Int. J. Comp. Sci. Eng., vol. 7, no. 11, pp. 30–37, Nov. 2019.

Issue

Vol. 7 No. 11 (2019): IJCSE November Edition

Section

Research Article

License

Creative Commons License

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

Authors contributing to this journal agree to publish their articles under the Creative Commons Attribution 4.0 International License, allowing third parties to share their work (copy, distribute, transmit) and to adapt it, under the condition that the authors are given credit and that in the event of reuse or distribution, the terms of this license are made clear.