Paper Info
Title
ViDAQ: A Framework for Monitoring Human Machine Interfaces
Abstract
A novel case for visual data acquisition (ViDAQ) as an non-intrusive, scalable and reliable means of monitoring Human Machine Interfaces (HMIs) is envisioned. ViDAQ is a step towards achieving real-time cross-validation of human operator commands with respect to HMI states in large scale industrial control room environments. HMIs are integral in allowing human operators to safely command and monitor various critical processes, such as in nuclear power plants, commercial aviation, public transit vehicles, etc. However, HMI related perceptual dynamics presents a challenge to the designed safeguards against human-in-the-loop errors, which, ultimately is dependent on operator situational awareness. We envision, an expert supervisory framework for HMIs (EYE-on-HMI) utilizing ViDAQ, that is scalable and extensible to various industrial applications with prospective safety improvement to next generation commercial automation especially those with "driverless" operational modes. To this end, we present the design, implementation and evaluation of the ViDAQ to visually read rotary multi-dial meters herein.
Year
DOI
Venue
2017
10.1109/ISORC.2017.25
2017 IEEE 20th International Symposium on Real-Time Distributed Computing (ISORC)
Keywords
Field
DocType
Computer Vision (CV),Video Content Anal-ysis (VCA),HMI,human factors engineering (HFE),Expert Supervisory System (EYE),nuclear power plant (NPP),Image segmentation,Feature extraction
Human–machine system,Situation awareness,Computer science,Data acquisition,Automation,Real-time computing,Operator (computer programming),Control room,Commercial aviation,Distributed computing,Scalability
Conference
ISBN
Citations 
PageRank 
978-1-5386-1575-1
2
0.47
References 
Authors
8
2
Name
Order
Citations
PageRank
Harsh V. P. Singh132.23
Qusay H. Mahmoud2844112.10