Smart home system for patients with mild cognitive impairment

Shane Robert Maynard; Himanshu Thapliyal; Allison Caban-Holt

doi:10.1109/CSCI.2015.159

Smart home system for patients with mild cognitive impairment

Shane Robert Maynard, Himanshu Thapliyal, Allison Caban-Holt

Electrical and Computer Engineering

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

7 Scopus citations

Abstract

Estimates suggest that up to 20% of adults over age 70 years may have Mild Cognitive Impairment (MCI, cognitive changes without dementia) [1]. Such individuals may be able to function more effectively in their environment with some supportive services. Embedded automated systems could help provide additional protection from accidental injury and support for executing daily activities for individuals with MCI. In this paper, illustration of a home monitoring embedded system to increase safety and functionality to those with cognitive disabilities is provided. A proof-of-concept implementation of an automated garage door monitoring system that can monitor the open/closed status of the garage door, but also monitor other environmental variables has been developed in this investigation. The obtained sensor data is then used to execute particular macros, per situation, and react accordingly in order to circumvent injury and improve daily functioning of patients with mild cognitive impairment.

Original language	English
Title of host publication	Proceedings - 2015 International Conference on Computational Science and Computational Intelligence, CSCI 2015
Editors	Quoc-Nam Tran, Leonidas Deligiannidis, Hamid R. Arabnia
Pages	738-742
Number of pages	5
ISBN (Electronic)	9781467397957
DOIs	https://doi.org/10.1109/CSCI.2015.159
State	Published - Mar 2 2016
Event	International Conference on Computational Science and Computational Intelligence, CSCI 2015 - Las Vegas, United States Duration: Dec 7 2015 → Dec 9 2015

Publication series

Name	Proceedings - 2015 International Conference on Computational Science and Computational Intelligence, CSCI 2015

Conference

Conference	International Conference on Computational Science and Computational Intelligence, CSCI 2015
Country/Territory	United States
City	Las Vegas
Period	12/7/15 → 12/9/15

Bibliographical note

Publisher Copyright:
© 2015 IEEE.

Keywords

Active circuits
Integrated circuits
Microcontrollers
Sensor systems

ASJC Scopus subject areas

Computational Theory and Mathematics
Artificial Intelligence
Computer Networks and Communications
Hardware and Architecture
Signal Processing

Access to Document

10.1109/CSCI.2015.159

Cite this

Maynard, S. R., Thapliyal, H., & Caban-Holt, A. (2016). Smart home system for patients with mild cognitive impairment. In Q.-N. Tran, L. Deligiannidis, & H. R. Arabnia (Eds.), Proceedings - 2015 International Conference on Computational Science and Computational Intelligence, CSCI 2015 (pp. 738-742). Article 7424187 (Proceedings - 2015 International Conference on Computational Science and Computational Intelligence, CSCI 2015). https://doi.org/10.1109/CSCI.2015.159

Maynard, Shane Robert ; Thapliyal, Himanshu ; Caban-Holt, Allison. / Smart home system for patients with mild cognitive impairment. Proceedings - 2015 International Conference on Computational Science and Computational Intelligence, CSCI 2015. editor / Quoc-Nam Tran ; Leonidas Deligiannidis ; Hamid R. Arabnia. 2016. pp. 738-742 (Proceedings - 2015 International Conference on Computational Science and Computational Intelligence, CSCI 2015).

@inproceedings{ab8f820db20a4a92aa13ea39d6ceecb3,

title = "Smart home system for patients with mild cognitive impairment",

abstract = "Estimates suggest that up to 20% of adults over age 70 years may have Mild Cognitive Impairment (MCI, cognitive changes without dementia) [1]. Such individuals may be able to function more effectively in their environment with some supportive services. Embedded automated systems could help provide additional protection from accidental injury and support for executing daily activities for individuals with MCI. In this paper, illustration of a home monitoring embedded system to increase safety and functionality to those with cognitive disabilities is provided. A proof-of-concept implementation of an automated garage door monitoring system that can monitor the open/closed status of the garage door, but also monitor other environmental variables has been developed in this investigation. The obtained sensor data is then used to execute particular macros, per situation, and react accordingly in order to circumvent injury and improve daily functioning of patients with mild cognitive impairment.",

keywords = "Active circuits, Integrated circuits, Microcontrollers, Sensor systems",

author = "Maynard, {Shane Robert} and Himanshu Thapliyal and Allison Caban-Holt",

note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; International Conference on Computational Science and Computational Intelligence, CSCI 2015 ; Conference date: 07-12-2015 Through 09-12-2015",

year = "2016",

month = mar,

day = "2",

doi = "10.1109/CSCI.2015.159",

language = "English",

series = "Proceedings - 2015 International Conference on Computational Science and Computational Intelligence, CSCI 2015",

pages = "738--742",

editor = "Quoc-Nam Tran and Leonidas Deligiannidis and Arabnia, {Hamid R.}",

booktitle = "Proceedings - 2015 International Conference on Computational Science and Computational Intelligence, CSCI 2015",

}

Maynard, SR, Thapliyal, H & Caban-Holt, A 2016, Smart home system for patients with mild cognitive impairment. in Q-N Tran, L Deligiannidis & HR Arabnia (eds), Proceedings - 2015 International Conference on Computational Science and Computational Intelligence, CSCI 2015., 7424187, Proceedings - 2015 International Conference on Computational Science and Computational Intelligence, CSCI 2015, pp. 738-742, International Conference on Computational Science and Computational Intelligence, CSCI 2015, Las Vegas, United States, 12/7/15. https://doi.org/10.1109/CSCI.2015.159

Smart home system for patients with mild cognitive impairment. / Maynard, Shane Robert; Thapliyal, Himanshu; Caban-Holt, Allison.
Proceedings - 2015 International Conference on Computational Science and Computational Intelligence, CSCI 2015. ed. / Quoc-Nam Tran; Leonidas Deligiannidis; Hamid R. Arabnia. 2016. p. 738-742 7424187 (Proceedings - 2015 International Conference on Computational Science and Computational Intelligence, CSCI 2015).

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

TY - GEN

T1 - Smart home system for patients with mild cognitive impairment

AU - Maynard, Shane Robert

AU - Thapliyal, Himanshu

AU - Caban-Holt, Allison

PY - 2016/3/2

Y1 - 2016/3/2

N2 - Estimates suggest that up to 20% of adults over age 70 years may have Mild Cognitive Impairment (MCI, cognitive changes without dementia) [1]. Such individuals may be able to function more effectively in their environment with some supportive services. Embedded automated systems could help provide additional protection from accidental injury and support for executing daily activities for individuals with MCI. In this paper, illustration of a home monitoring embedded system to increase safety and functionality to those with cognitive disabilities is provided. A proof-of-concept implementation of an automated garage door monitoring system that can monitor the open/closed status of the garage door, but also monitor other environmental variables has been developed in this investigation. The obtained sensor data is then used to execute particular macros, per situation, and react accordingly in order to circumvent injury and improve daily functioning of patients with mild cognitive impairment.

AB - Estimates suggest that up to 20% of adults over age 70 years may have Mild Cognitive Impairment (MCI, cognitive changes without dementia) [1]. Such individuals may be able to function more effectively in their environment with some supportive services. Embedded automated systems could help provide additional protection from accidental injury and support for executing daily activities for individuals with MCI. In this paper, illustration of a home monitoring embedded system to increase safety and functionality to those with cognitive disabilities is provided. A proof-of-concept implementation of an automated garage door monitoring system that can monitor the open/closed status of the garage door, but also monitor other environmental variables has been developed in this investigation. The obtained sensor data is then used to execute particular macros, per situation, and react accordingly in order to circumvent injury and improve daily functioning of patients with mild cognitive impairment.

KW - Active circuits

KW - Integrated circuits

KW - Microcontrollers

KW - Sensor systems

UR - http://www.scopus.com/inward/record.url?scp=84964523934&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84964523934&partnerID=8YFLogxK

U2 - 10.1109/CSCI.2015.159

DO - 10.1109/CSCI.2015.159

M3 - Conference contribution

AN - SCOPUS:84964523934

T3 - Proceedings - 2015 International Conference on Computational Science and Computational Intelligence, CSCI 2015

SP - 738

EP - 742

BT - Proceedings - 2015 International Conference on Computational Science and Computational Intelligence, CSCI 2015

A2 - Tran, Quoc-Nam

A2 - Deligiannidis, Leonidas

A2 - Arabnia, Hamid R.

T2 - International Conference on Computational Science and Computational Intelligence, CSCI 2015

Y2 - 7 December 2015 through 9 December 2015

ER -

Maynard SR, Thapliyal H, Caban-Holt A. Smart home system for patients with mild cognitive impairment. In Tran QN, Deligiannidis L, Arabnia HR, editors, Proceedings - 2015 International Conference on Computational Science and Computational Intelligence, CSCI 2015. 2016. p. 738-742. 7424187. (Proceedings - 2015 International Conference on Computational Science and Computational Intelligence, CSCI 2015). doi: 10.1109/CSCI.2015.159

Smart home system for patients with mild cognitive impairment

Abstract

Publication series

Conference

Bibliographical note

Keywords

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this