Cyber-Physical-Human Systems: Putting People in the Loop

Sowe, Sulayman K.; Simmon, Eric D.; Zettsu, Koji; Vaulx, Frederic de; Bojanova, Irena

doi:10.1109/mitp.2016.14

Cited by 138 publications

(69 citation statements)

References 2 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…The human being becomes a subsystem of CPS, which is an uncontrollable and unpredictable factor to CPS. The researches in [62][63][64][259][260] introduce the recent exploration from molding human being's behavior to management for this problem. What's more, CPS is tightly embedded in the physical world and will be influenced by the environment easily.…”

Section: Resultsmentioning

confidence: 99%

“…Zoltán R. et al summarized the current theories and practices on interaction between human and system, then proposed the research challenges of HMI in [62]. And a concept of human service capability description model is presented in [63]. Azfar K. et al discussed the different safety approaches for heavy payload robots, highlighted the technology limits and real-time issues in human robot collaboration CPS.…”

Section: Dependabilitymentioning

confidence: 99%

See 1 more Smart Citation

A Comprehensive Technological Survey on Dependable Self-Managing CPS: The Decade of Researches on Correctness and Dependability

Zhou¹,

Hou²,

Zhang³

et al. 2017

Preprint

View full text Add to dashboard Cite

Though Cyber Physical Systems (CPS) become very popular in last the decade, dependability of CPS is still a critical issue and related survey is rare. We try to spell out the jigsaw of technologies and figure out the technical trends of dependable self-managing CPS. This survey first recalls the motivation and the similar concepts. By analyzing four generic architectures, we summarize the common characteristics and related assurance technologies, and propose a more generic environment-in-loop processing flow of CPS and a formal interaction flow between physical space and cyber space. Further, the similarity between correctness and dependability is formally analyzed and the new five research questions of dependable self-managing CPS are presented. Then we review the critical technologies and related correctness verification & validation (V&V) methods, the architectures for dependable self-managing CPS. Further, the detail dependability management and V&V technologies are surveyed, which covers the areas of running-time fault management methods and whole life cycle V&V technologies, maintenance and available tool sets. For holistic CPS development, Modeling techniques and MDE (model driven engineering) based V&V methods are analyzed in detail. Then we complete the jigsaw of technologies and figure out the missing part. Further, we propose the technical challenges and the further direction. To our best knowledge, this is the first comprehensive survey on dependable self-managing CPS development and evaluation.

show abstract

Section: Resultsmentioning

confidence: 99%

Section: Dependabilitymentioning

confidence: 99%

A Comprehensive Technological Survey on Dependable Self-Managing CPS: The Decade of Researches on Correctness and Dependability

Zhou¹,

Hou²,

Zhang³

et al. 2017

Preprint

View full text Add to dashboard Cite

show abstract

“…Nowadays, everything and everybody with network connectivity can be turned into sensors that continuously generate data reflecting how human interact with the physical world (Sowe and Zettsu, 2015). Thus, linking people, devices, and data to monitor human activities continuously and precisely can be seen as one of the important factors that contributes to the development of health care, security, transportation, and safety (Semanjski and Sidharta, 2016) (Lara and Labrador, 2013).…”

Section: Introductionmentioning

confidence: 99%

“…Nevertheless, none of the related work discusses the human factor in Internet of Everything (IoE) systems. In other words, users of these systems play a passive role but not an active role (Sowe et al, 2016). Some of these challenges have been solved partially but not completely, especially in the field of smart-city where results from HAR systems should be on-line and frequently streamed to a smart-city center system in order to make suitable decisions.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Smart Lifelogging: Recognizing Human Activities using PHASOR

Dao

Dang-Nguyen

Riegler

et al. 2017

Proceedings of the 6th International Conference on Pattern Recognition Applications and Methods

View full text Add to dashboard Cite

Abstract:This paper introduces a new idea for sensor data analytics, named PHASOR, that can recognize and stream individual human activities online. The proposed sensor concept can be utilized to solve some emerging problems in smartcity domain such as health care, urban mobility, or security by creating a lifelog of human activities. PHASOR is created from three 'components': ID, model, and Sensor. The first component is to identify which sensor is used to monitor which object (e.g., group of users, individual users, type of smartphone). The second component decides suitable classifiers for human activities recognition. The last one includes two types: (1) physical sensors that utilize embedded sensors in smartphones to recognize human activities, (2) human factors that uses human interaction to personally increase the accuracy of the detection. The advantage of PHASOR is the error signal is inversely proportional to its lifetime, which is well-suited for lifelogging applications. The proposed concept is evaluated and compared to de-facto datasets as well as state-of-the-art of Human Activity Recognition (HAR) using smartphones, confirming that applying PHASOR can improves the accuracy of HAR.

show abstract

Adaptive Cyber‐Physical‐Human Systems: Exploiting Cognitive Modeling and Machine Learning in the Control Loop

Madni

Sievers

Madni

2018

INSIGHT

View full text Add to dashboard Cite

Cyber‐physical‐human (CPH) systems are purposeful arrangements of sensors, computers, communication devices, and humans to perform tasks that achieve specific mission objectives. These systems typically allow other systems, devices, and data streams to connect/disconnect as needed during mission execution. The roles of humans in CPH systems are quite varied. In adaptive CPH systems, humans collaborate with the cyber‐physical elements to jointly accomplish tasks, and adapt to changing contexts to accomplish mission goals. Mutual adaptation based on prior knowledge, cognitive modeling, and online machine learning are key characteristics of adaptive CPH systems. This paper presents key challenges in realizing adaptive CPH systems. It discusses learning and adaptation, as well as human and CPS roles in adaptive CPH systems. It offers a functional (reference) architecture to inform and guide the development of adaptive CPH systems. It concludes with a discussion of research needed to advance the state‐of‐the‐art of adaptive CPH systems.

show abstract

Cyber-Physical-Human Systems: Putting People in the Loop

Abstract: This article outlines the challenge to understand how to integrate people into a new generation of cyber-physical-human systems (CPHSs) and proposes a human service capability description model to help.

Cited by 138 publications

References 2 publications

A Comprehensive Technological Survey on Dependable Self-Managing CPS: The Decade of Researches on Correctness and Dependability

A Comprehensive Technological Survey on Dependable Self-Managing CPS: The Decade of Researches on Correctness and Dependability

Smart Lifelogging: Recognizing Human Activities using PHASOR

Adaptive Cyber‐Physical‐Human Systems: Exploiting Cognitive Modeling and Machine Learning in the Control Loop

Contact Info

Product

Resources

About