On Exploiting Structured Human Interactions to Enhance Sensing Accuracy in Cyber-physical Systems
ACM Trans. Cyber-Phys. Syst., July 2017
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.
Cite this paper
@article{Wang17,
title = {{On Exploiting Structured Human Interactions to Enhance Sensing Accuracy in Cyber-physical Systems}},
author = {Wang, Hongwei and Gao, Yunlong and Hu, Shaohan and Wang, Shiguang and Mancuso, Renato and Kim, Minje and Wu, Poliang and Su, Lu and Sha, Lui and Abdelzaher, Tarek},
journal = {ACM Trans. Cyber-Phys. Syst.},
year = 2017,
month = jul,
volume = {1},
number = {3},
pages = {16:1--16:19},
publisher = {ACM},
address = {New York, NY, USA},
doi = {10.1145/3064006},
url = {https://doi.org/10.1145/3064006}
}
TY - JOUR AU - Wang, Hongwei AU - Gao, Yunlong AU - Hu, Shaohan AU - Wang, Shiguang AU - Mancuso, Renato AU - Kim, Minje AU - Wu, Poliang AU - Su, Lu AU - Sha, Lui AU - Abdelzaher, Tarek TI - On Exploiting Structured Human Interactions to Enhance Sensing Accuracy in Cyber-physical Systems JO - ACM Trans. Cyber-Phys. Syst. PY - 2017 DA - 2017/07// VL - 1 IS - 3 PB - ACM CY - New York, NY, USA SP - 16:1 EP - 16:19 DO - 10.1145/3064006 UR - https://doi.org/10.1145/3064006 AB - 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. ER -
%0 Journal Article %A Wang, Hongwei %A Gao, Yunlong %A Hu, Shaohan %A Wang, Shiguang %A Mancuso, Renato %A Kim, Minje %A Wu, Poliang %A Su, Lu %A Sha, Lui %A Abdelzaher, Tarek %T On Exploiting Structured Human Interactions to Enhance Sensing Accuracy in Cyber-physical Systems %J ACM Trans. Cyber-Phys. Syst. %D 2017 %V 1 %N 3 %P 16:1-16:19 %I ACM %C New York, NY, USA %R 10.1145/3064006 %U https://doi.org/10.1145/3064006 %X 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.
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"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."
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H. Wang, Y. Gao, S. Hu, S. Wang, R. Mancuso, M. Kim, P. Wu, L. Su, L. Sha, and T. Abdelzaher, “On Exploiting Structured Human Interactions to Enhance Sensing Accuracy in Cyber-physical Systems,” ACM Trans. Cyber-Phys. Syst., vol. 1, no. 3, pp. 16:1–16:19, Jul. 2017, doi: 10.1145/3064006.
Wang, H., Gao, Y., Hu, S., Wang, S., Mancuso, R., Kim, M., Wu, P., Su, L., Sha, L., & Abdelzaher, T. (2017). On Exploiting Structured Human Interactions to Enhance Sensing Accuracy in Cyber-physical Systems. ACM Trans. Cyber-Phys. Syst., 1(3), 16:1–16:19. ACM. https://doi.org/10.1145/3064006