IoT-Based fall detection for smart home environments

Shalom Greene; Himanshu Thapliyal; David Carpenter

doi:10.1109/iNIS.2016.017

IoT-Based fall detection for smart home environments

Shalom Greene, Himanshu Thapliyal, David Carpenter

Electrical and Computer Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

34 Scopus citations

Abstract

The rise of internet connected devices has enabledthe home with a vast amount of enhancements to make lifemore convenient. These internet connected devices can be used to form a community of devices known as the internet of things (IoT). There is great value in IoT devices to promote healthy independent living for older adults. This paper proposes an IoT-based fall detection system for smart home environments that not only to send out alerts, but also launches interaction models, such as voice assistance and camera monitoring. Such connectivity could allow older adults to interact with the systemwithout concern of a learning curve. The proposed IoT-based fall detection system will enable family and caregivers to be immediately notified of the event and remotely monitor the individual. Integrated within a smart home environment, the proposed IoT-based fall detection system can improve the quality of life among older adults.

Original language	English
Title of host publication	Proceedings - 2016 IEEE International Symposium on Nanoelectronic and Information Systems, iNIS 2016
Pages	23-28
Number of pages	6
ISBN (Electronic)	9781509061693
DOIs	https://doi.org/10.1109/iNIS.2016.017
State	Published - Jan 23 2017
Event	2nd IEEE International Symposium on Nanoelectronic and Information Systems, iNIS 2016 - Gwalior, Madhya Pradesh, India Duration: Dec 19 2016 → Dec 21 2016

Publication series

Name	Proceedings - 2016 IEEE International Symposium on Nanoelectronic and Information Systems, iNIS 2016

Conference

Conference	2nd IEEE International Symposium on Nanoelectronic and Information Systems, iNIS 2016
Country/Territory	India
City	Gwalior, Madhya Pradesh
Period	12/19/16 → 12/21/16

Bibliographical note

Publisher Copyright:
© 2016 IEEE.

Keywords

Amazon Echo
Independent Living
Older Adults
Quality of Life
Smart Healthcare

ASJC Scopus subject areas

Electrical and Electronic Engineering
Electronic, Optical and Magnetic Materials
Computer Networks and Communications
Hardware and Architecture
Information Systems

Access to Document

10.1109/iNIS.2016.017

Cite this

Greene, S., Thapliyal, H., & Carpenter, D. (2017). IoT-Based fall detection for smart home environments. In Proceedings - 2016 IEEE International Symposium on Nanoelectronic and Information Systems, iNIS 2016 (pp. 23-28). Article 7829515 (Proceedings - 2016 IEEE International Symposium on Nanoelectronic and Information Systems, iNIS 2016). https://doi.org/10.1109/iNIS.2016.017

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Greene, S, Thapliyal, H & Carpenter, D 2017, IoT-Based fall detection for smart home environments. in Proceedings - 2016 IEEE International Symposium on Nanoelectronic and Information Systems, iNIS 2016., 7829515, Proceedings - 2016 IEEE International Symposium on Nanoelectronic and Information Systems, iNIS 2016, pp. 23-28, 2nd IEEE International Symposium on Nanoelectronic and Information Systems, iNIS 2016, Gwalior, Madhya Pradesh, India, 12/19/16. https://doi.org/10.1109/iNIS.2016.017

IoT-Based fall detection for smart home environments. / Greene, Shalom; Thapliyal, Himanshu; Carpenter, David.
Proceedings - 2016 IEEE International Symposium on Nanoelectronic and Information Systems, iNIS 2016. 2017. p. 23-28 7829515 (Proceedings - 2016 IEEE International Symposium on Nanoelectronic and Information Systems, iNIS 2016).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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IoT-Based fall detection for smart home environments

Abstract

Publication series

Conference

Bibliographical note

Keywords

ASJC Scopus subject areas

Access to Document

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