IoT based indoor location detection system for smart home environment

Rajdeep Kumar Nath; Rajnish Bajpai; Himanshu Thapliyal

doi:10.1109/ICCE.2018.8326225

IoT based indoor location detection system for smart home environment

Rajdeep Kumar Nath, Rajnish Bajpai, Himanshu Thapliyal

Electrical and Computer Engineering

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

36 Scopus citations

Abstract

Smart home environment is expected to meet the requirements, essentially for the aging population, to support the concept of 'aging in place', to provide reliable care and to ensure safety and proper diagnosis by keeping track of daily living, medical condition of the resident and providing feedback to the caregiver. In order to meet these requirements, smart home of today should support a number of functionalities. One such functionality of a smart home environment is the location detection. In this work, we propose a voice based location detection system which can be integrated in a smart home environment. Our location detection system uses Amazon Echo as the voice interface and HC-SR04 ultrasonic sensor to detect location of specific patients. The proposed location detection will be suitable for large scale application where we may need to keep track of multiple patients. Moreover, the inclusion of voice enabled feature to this system will reduce the burden of learning curve of new technologies on family and caregivers thereby improving the quality of life.

Original language	English
Title of host publication	2018 IEEE International Conference on Consumer Electronics, ICCE 2018
Editors	Saraju P. Mohanty, Peter Corcoran, Hai Li, Anirban Sengupta, Jong-Hyouk Lee
Pages	1-3
Number of pages	3
ISBN (Electronic)	9781538630259
DOIs	https://doi.org/10.1109/ICCE.2018.8326225
State	Published - Mar 26 2018
Event	2018 IEEE International Conference on Consumer Electronics, ICCE 2018 - Las Vegas, United States Duration: Jan 12 2018 → Jan 14 2018

Publication series

Name	2018 IEEE International Conference on Consumer Electronics, ICCE 2018
Volume	2018-January

Conference

Conference	2018 IEEE International Conference on Consumer Electronics, ICCE 2018
Country/Territory	United States
City	Las Vegas
Period	1/12/18 → 1/14/18

Bibliographical note

Publisher Copyright:
© 2018 IEEE.

Keywords

Aging in Place
Amazon Echo
Location Detection
Quality of Life
Smart Home

ASJC Scopus subject areas

Computer Networks and Communications
Electrical and Electronic Engineering
Media Technology

Access to Document

10.1109/ICCE.2018.8326225

Cite this

Nath, R. K., Bajpai, R., & Thapliyal, H. (2018). IoT based indoor location detection system for smart home environment. In S. P. Mohanty, P. Corcoran, H. Li, A. Sengupta, & J.-H. Lee (Eds.), 2018 IEEE International Conference on Consumer Electronics, ICCE 2018 (pp. 1-3). (2018 IEEE International Conference on Consumer Electronics, ICCE 2018; Vol. 2018-January). https://doi.org/10.1109/ICCE.2018.8326225

Nath, Rajdeep Kumar ; Bajpai, Rajnish ; Thapliyal, Himanshu. / IoT based indoor location detection system for smart home environment. 2018 IEEE International Conference on Consumer Electronics, ICCE 2018. editor / Saraju P. Mohanty ; Peter Corcoran ; Hai Li ; Anirban Sengupta ; Jong-Hyouk Lee. 2018. pp. 1-3 (2018 IEEE International Conference on Consumer Electronics, ICCE 2018).

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title = "IoT based indoor location detection system for smart home environment",

abstract = "Smart home environment is expected to meet the requirements, essentially for the aging population, to support the concept of 'aging in place', to provide reliable care and to ensure safety and proper diagnosis by keeping track of daily living, medical condition of the resident and providing feedback to the caregiver. In order to meet these requirements, smart home of today should support a number of functionalities. One such functionality of a smart home environment is the location detection. In this work, we propose a voice based location detection system which can be integrated in a smart home environment. Our location detection system uses Amazon Echo as the voice interface and HC-SR04 ultrasonic sensor to detect location of specific patients. The proposed location detection will be suitable for large scale application where we may need to keep track of multiple patients. Moreover, the inclusion of voice enabled feature to this system will reduce the burden of learning curve of new technologies on family and caregivers thereby improving the quality of life.",

keywords = "Aging in Place, Amazon Echo, Location Detection, Quality of Life, Smart Home",

author = "Nath, {Rajdeep Kumar} and Rajnish Bajpai and Himanshu Thapliyal",

note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; 2018 IEEE International Conference on Consumer Electronics, ICCE 2018 ; Conference date: 12-01-2018 Through 14-01-2018",

year = "2018",

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doi = "10.1109/ICCE.2018.8326225",

language = "English",

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Nath, RK, Bajpai, R & Thapliyal, H 2018, IoT based indoor location detection system for smart home environment. in SP Mohanty, P Corcoran, H Li, A Sengupta & J-H Lee (eds), 2018 IEEE International Conference on Consumer Electronics, ICCE 2018. 2018 IEEE International Conference on Consumer Electronics, ICCE 2018, vol. 2018-January, pp. 1-3, 2018 IEEE International Conference on Consumer Electronics, ICCE 2018, Las Vegas, United States, 1/12/18. https://doi.org/10.1109/ICCE.2018.8326225

IoT based indoor location detection system for smart home environment. / Nath, Rajdeep Kumar; Bajpai, Rajnish; Thapliyal, Himanshu.
2018 IEEE International Conference on Consumer Electronics, ICCE 2018. ed. / Saraju P. Mohanty; Peter Corcoran; Hai Li; Anirban Sengupta; Jong-Hyouk Lee. 2018. p. 1-3 (2018 IEEE International Conference on Consumer Electronics, ICCE 2018; Vol. 2018-January).

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

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IoT based indoor location detection system for smart home environment

Abstract

Publication series

Conference

Bibliographical note

Keywords

ASJC Scopus subject areas

Access to Document

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