Abstract
Cyber-physical systems (CPS) and the Internet of Things (IoT) offer a significant potential to improve the effectiveness of assistive technologies for those with physical disabilities. Practical assistive technologies should minimize the number of inputs from users to reduce their cognitive and physical effort. This article presents an energy-efficient framework and algorithm for assistive indoor navigation with multi-modal user input. The goal of the proposed framework is to simplify the navigation tasks and make them more instinctive for the user. Our framework automates indoor navigation using only a few user commands captured through a wearable device. The proposed methodology is evaluated using both a virtual smart building and a prototype. The evaluations for three different floorplans show one order of magnitude reduction in user effort and communication energy required for navigation, when compared to conventional navigation methodologies that require continuous user inputs.
| Original language | English (US) |
|---|---|
| Article number | 80 |
| Journal | ACM Transactions on Design Automation of Electronic Systems |
| Volume | 23 |
| Issue number | 6 |
| DOIs | |
| State | Published - Dec 1 2018 |
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Keywords
- Assistive technologies
- Human-machine interface
- IoT devices
- Wearable computers
ASJC Scopus subject areas
- Computer Science Applications
- Computer Graphics and Computer-Aided Design
- Electrical and Electronic Engineering
Cite this
Instinctive Assistive Indoor Navigation using Distributed Intelligence. / Muztoba, Md; Voleti, Rohit; Karabacak, Fatih; Park, Jaehyun; Ogras, Umit.
In: ACM Transactions on Design Automation of Electronic Systems, Vol. 23, No. 6, 80, 01.12.2018.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - Instinctive Assistive Indoor Navigation using Distributed Intelligence
AU - Muztoba, Md
AU - Voleti, Rohit
AU - Karabacak, Fatih
AU - Park, Jaehyun
AU - Ogras, Umit
PY - 2018/12/1
Y1 - 2018/12/1
N2 - Cyber-physical systems (CPS) and the Internet of Things (IoT) offer a significant potential to improve the effectiveness of assistive technologies for those with physical disabilities. Practical assistive technologies should minimize the number of inputs from users to reduce their cognitive and physical effort. This article presents an energy-efficient framework and algorithm for assistive indoor navigation with multi-modal user input. The goal of the proposed framework is to simplify the navigation tasks and make them more instinctive for the user. Our framework automates indoor navigation using only a few user commands captured through a wearable device. The proposed methodology is evaluated using both a virtual smart building and a prototype. The evaluations for three different floorplans show one order of magnitude reduction in user effort and communication energy required for navigation, when compared to conventional navigation methodologies that require continuous user inputs.
AB - Cyber-physical systems (CPS) and the Internet of Things (IoT) offer a significant potential to improve the effectiveness of assistive technologies for those with physical disabilities. Practical assistive technologies should minimize the number of inputs from users to reduce their cognitive and physical effort. This article presents an energy-efficient framework and algorithm for assistive indoor navigation with multi-modal user input. The goal of the proposed framework is to simplify the navigation tasks and make them more instinctive for the user. Our framework automates indoor navigation using only a few user commands captured through a wearable device. The proposed methodology is evaluated using both a virtual smart building and a prototype. The evaluations for three different floorplans show one order of magnitude reduction in user effort and communication energy required for navigation, when compared to conventional navigation methodologies that require continuous user inputs.
KW - Assistive technologies
KW - Human-machine interface
KW - IoT devices
KW - Wearable computers
UR - http://www.scopus.com/inward/record.url?scp=85061241900&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85061241900&partnerID=8YFLogxK
U2 - 10.1145/3212720
DO - 10.1145/3212720
M3 - Article
AN - SCOPUS:85061241900
VL - 23
JO - ACM Transactions on Design Automation of Electronic Systems
JF - ACM Transactions on Design Automation of Electronic Systems
SN - 1084-4309
IS - 6
M1 - 80
ER -