Abstract
In this paper, we describe a general methodology for enhancing measurement accuracy in cyber-physical systems that involve structured human interactions with a noisy physical environment. We define structured human interactions as those that follow a domain-specific workflow. The idea of the paper is simple: We exploit knowledge of the workflow to correct unreliable sensor data. The intellectual contribution lies in an algorithm for joint estimation of the current state of the workflow together with correction of noisy sensor measurements, given only the noisy measurements and an overall workflow description. We demonstrate through simulations and a physical implementation the degree to which knowledge of workflow can increase sensing accuracy. As a specific instantiation of this idea, we present a novel situation-awareness tool called the Emergency Transcriber designed to automatically document operational procedures followed by teams of first responders in emergency-response scenarios. Evaluation shows that our system provides a significant fidelity enhancement over the state of the art, effectively coping with the noisy environment of emergency teams.
| Original language | English (US) |
|---|---|
| Title of host publication | ACM/IEEE 6th International Conference on Cyber-Physical Systems, ICCPS 2015 |
| Publisher | Association for Computing Machinery, Inc |
| Pages | 60-69 |
| Number of pages | 10 |
| ISBN (Electronic) | 9781450334556 |
| DOIs | |
| State | Published - Apr 14 2015 |
| Event | 6th ACM/IEEE International Conference on Cyber-Physical Systems, ICCPS 2015 - Seattle, United States Duration: Apr 14 2015 → Apr 16 2015 |
Publication series
| Name | ACM/IEEE 6th International Conference on Cyber-Physical Systems, ICCPS 2015 |
|---|
Other
| Other | 6th ACM/IEEE International Conference on Cyber-Physical Systems, ICCPS 2015 |
|---|---|
| Country | United States |
| City | Seattle |
| Period | 4/14/15 → 4/16/15 |
Fingerprint
Keywords
- Emergency
- Unreliable sensor data
- Workflow
ASJC Scopus subject areas
- Computer Networks and Communications
- Computer Science Applications
- Hardware and Architecture
Cite this
Exploiting structured human interactions to enhance estimation accuracy in cyber-Physical systems. / Gao, Yunlong; Hu, Shaohan; Mancuso, Renato; Wang, Hongwei; Kim, Minje; Wu, Po Liang; Su, Lu; Sha, Lui; Abdelzaher, Tarek.
ACM/IEEE 6th International Conference on Cyber-Physical Systems, ICCPS 2015. Association for Computing Machinery, Inc, 2015. p. 60-69 (ACM/IEEE 6th International Conference on Cyber-Physical Systems, ICCPS 2015).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Exploiting structured human interactions to enhance estimation accuracy in cyber-Physical systems
AU - Gao, Yunlong
AU - Hu, Shaohan
AU - Mancuso, Renato
AU - Wang, Hongwei
AU - Kim, Minje
AU - Wu, Po Liang
AU - Su, Lu
AU - Sha, Lui
AU - Abdelzaher, Tarek
PY - 2015/4/14
Y1 - 2015/4/14
N2 - In this paper, we describe a general methodology for enhancing measurement accuracy in cyber-physical systems that involve structured human interactions with a noisy physical environment. We define structured human interactions as those that follow a domain-specific workflow. The idea of the paper is simple: We exploit knowledge of the workflow to correct unreliable sensor data. The intellectual contribution lies in an algorithm for joint estimation of the current state of the workflow together with correction of noisy sensor measurements, given only the noisy measurements and an overall workflow description. We demonstrate through simulations and a physical implementation the degree to which knowledge of workflow can increase sensing accuracy. As a specific instantiation of this idea, we present a novel situation-awareness tool called the Emergency Transcriber designed to automatically document operational procedures followed by teams of first responders in emergency-response scenarios. Evaluation shows that our system provides a significant fidelity enhancement over the state of the art, effectively coping with the noisy environment of emergency teams.
AB - In this paper, we describe a general methodology for enhancing measurement accuracy in cyber-physical systems that involve structured human interactions with a noisy physical environment. We define structured human interactions as those that follow a domain-specific workflow. The idea of the paper is simple: We exploit knowledge of the workflow to correct unreliable sensor data. The intellectual contribution lies in an algorithm for joint estimation of the current state of the workflow together with correction of noisy sensor measurements, given only the noisy measurements and an overall workflow description. We demonstrate through simulations and a physical implementation the degree to which knowledge of workflow can increase sensing accuracy. As a specific instantiation of this idea, we present a novel situation-awareness tool called the Emergency Transcriber designed to automatically document operational procedures followed by teams of first responders in emergency-response scenarios. Evaluation shows that our system provides a significant fidelity enhancement over the state of the art, effectively coping with the noisy environment of emergency teams.
KW - Emergency
KW - Unreliable sensor data
KW - Workflow
UR - http://www.scopus.com/inward/record.url?scp=84954155593&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84954155593&partnerID=8YFLogxK
U2 - 10.1145/2735960.2735965
DO - 10.1145/2735960.2735965
M3 - Conference contribution
AN - SCOPUS:84954155593
T3 - ACM/IEEE 6th International Conference on Cyber-Physical Systems, ICCPS 2015
SP - 60
EP - 69
BT - ACM/IEEE 6th International Conference on Cyber-Physical Systems, ICCPS 2015
PB - Association for Computing Machinery, Inc
ER -