On Exploiting Structured Human Interactions to Enhance Sensing Accuracy in Cyber-physical Systems
Abstract
In this article, we describe a general methodology for enhancing sensing accuracy in cyber-physical systems that involve structured human interactions in noisy physical environment. We define structured human interactions as domain-specific workflow. A novel workflow-aware sensing model is proposed to jointly correct unreliable sensor data and keep track of states in a workflow. We also propose a new inference algorithm to handle cases with partially known states and objects as supervision. Our model is evaluated with extensive simulations. As a concrete application, we develop a novel log service called Emergency Transcriber , which can automatically document operational procedures followed by teams of first responders in emergency response scenarios. Evaluation shows that our system has significant improvement over commercial off-the-shelf (COTS) sensors and keeps track of workflow states with high accuracy in noisy physical environment.
Document Details
- Document Type
- Pub Defense Publication
- Publication Date
- Jul 24, 2017
- Source ID
- 10.1145/3064006
Entities
People
- Hongwei Wang
- Lu Su
- Lui R. Sha
- Minje Kim
- Poliang Wu
- Renato Mancuso
- Shaohan Hu
- Shiguang Wang
- Tarek Abdelzaher
- Yunlong Gao
Organizations
- Defense Threat Reduction Agency
- IBM Research
- Indiana University
- National Science Foundation
- University at Buffalo
- University of Illinois Urbana–Champaign