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A Hidden Markov Framework to Capture Human–Machine Interaction in Automated Vehicles

Christian P. Janssen, Linda Ng Boyle, Andrew L. Kun, Wendy Ju, Lewis L. Chuang
2019 International Journal of Human-Computer Interaction  
A Hidden Markov Model framework is introduced to formalize the beliefs that humans may have about the mode in which a semi-automated vehicle is operating.  ...  In contrast, the Hidden Markov Model framework provides a systematic and formal specification of mode confusion due to incorrect user beliefs.  ...  Acknowledgments This article idea was generated at the seminar on Automotive User Interfaces in the Age of Automation held at Schloss Dagstuhl, Germany (Seminar number 16262, Riener et al., 2016) .  ... 
doi:10.1080/10447318.2018.1561789 fatcat:inygi7ihcnh53pztbr62v5ewuu

The New Technique Enhancing of Automatic Speech Recognition System for ODIA Language using HTK Based On Hidden Markov Model (HMM)

2020 International journal of recent technology and engineering  
This is then evaluated in real time. A GUI has been created to enhance the system's interactivity. We used and introduced the test framework for development of the GUI JAVA application.  ...  The toolkit is based on Hidden Markov Model (HMM). The details was obtained from 8 ODIA Language speakers. The program is then qualified for 205 different terms in ODIA.  ...  The New Technique Enhancing of Automatic Speech Recognition System for ODIA Language using HTK Based On Hidden Markov Model (HMM)  ... 
doi:10.35940/ijrte.a2817.059120 fatcat:32635hzt7nfmzlpcikmhirfh4m

A Model-Based Approach to Dynamic Self-assessment for Automated Performance and Safety Awareness of Cyber-Physical Systems [chapter]

DeJiu Chen, Zhonghai Lu
2017 Lecture Notes in Computer Science  
The emphasis is on the integration of several modeling technologies, including the domain-specific modeling framework EAST-ADL, the A-G contract theory and Hidden Markov Model (HMM).  ...  Accordingly, we propose in this paper a novel approach that aims to enable advanced operation monitoring and self-assessment in regard to operational uncertainties and thereby automated performance and  ...  displays for human-machine interactions, and to wireless and telecommunication services for V2V and V2I connectivity, has been advocated as a necessary means for shortening the innovation loops and enabling  ... 
doi:10.1007/978-3-319-64119-5_15 fatcat:xgiribiqebdcfayts2rlmzdruu

A General Context-Aware Framework for Improved Human-System Interactions

Stacy Lovell Pfautz, Gabriel Ganberg, Adam Fouse, Nathan Schurr
2015 The AI Magazine  
This article describes a general framework for building context-aware interactive intelligent systems that comprises three major functions: (1) capture human-system interactions and infer implicit context  ...  Our goal is to develop an approach that enables humans to interact with automation more intuitively and naturally that is reusable across domains by modeling context and algorithms at a higher-level of  ...  We have presented a framework for leveraging context to support human-machine collaboration to enhance performance.  ... 
doi:10.1609/aimag.v36i2.2582 fatcat:wrpdkcauojfqlir5l76myeltwq

Designing dynamic distributed cooperative Human-Machine Systems

A. Lüdtke, D. Javaux, F. Tango, R. Heers, K. Bengler, C. Ronfle-Nadaud
2012 Work : A journal of Prevention, Assesment and rehabilitation  
The paper presents a new approach to the development of cooperative human-machine systems in the Transportation domain which is currently researched in the European project D3CoS.  ...  This will support powerful teamwork between humans and machines or between machines and machines that is transparent, intuitive and easy to understand.  ...  Acknowledgement The work described in this paper is funded by the ARTEMIS Joint Undertaking under the number 269336-2 (  ... 
doi:10.3233/wor-2012-0719-4250 fatcat:nwbpxgns5zf5zjur7sjwtmlchu

Toward Human-Centered Design of Automated Vehicles: A Naturalistic Brake Policy

Yalda Rahmati, Arezoo Samimi Abianeh, Mahmood Tabesh, Alireza Talebpour
2021 Frontiers in Future Transportation  
or those interacting with such vehicles.  ...  Accordingly, a Markovian decision modeling framework is adopted to design a novel CAV braking profile that ensures 1) compatibility with human expectation, and 2) safe and comfortable maneuvers by CAVs  ...  In a recent field experiment, Rahmati et al. investigated humans' car-following behavior in interaction with surrounding human-driven and automated vehicles (Rahmati et al., 2019) .  ... 
doi:10.3389/ffutr.2021.683223 fatcat:ka4alziagjdplmwbuufoeboes4

Supervised vs. Unsupervised Learning for Operator State Modeling in Unmanned Vehicle Settings

Yves Boussemart, Mary L. Cummings, Jonathan Las Fargeas, Nicholas Roy
2011 Journal of Aerospace Computing Information and Communication  
In this paper, we model operator states using hidden Markov models applied to human supervisory control behaviors.  ...  The hidden Markov model framework allows the inference of higher operator states from observable operator interaction with a computer interface.  ...  The hidden Markov model framework allows the inference of higher operator states from observable operator interaction with a computer interface.  ... 
doi:10.2514/1.46767 fatcat:tay73jb7jvar5pxbempupzbwei

Explainable artificial intelligence for autonomous driving: An overview and guide for future research directions [article]

Shahin Atakishiyev, Mohammad Salameh, Hengshuai Yao, Randy Goebel
2022 arXiv   pre-print
Hence, aside from making safe real-time decisions, the AI systems of autonomous vehicles also need to explain how their decisions are constructed in order to be regulatory compliant across many jurisdictions  ...  Our study sheds a comprehensive light on the development of explainable artificial intelligence (XAI) approaches for autonomous vehicles. In particular, we make the following contributions.  ...  ACKNOWLEDGMENT We acknowledge support from the Alberta Machine Intelligence Institute (Amii), from the Computing Science Department of the University of Alberta, and the Natural Sciences and Engineering  ... 
arXiv:2112.11561v2 fatcat:zluqlvmtznh25eihtouubib3ba

Predictive models of human supervisory control behavioral patterns using hidden semi-Markov models

Yves Boussemart, Mary L. Cummings
2011 Engineering applications of artificial intelligence  
We propose that Hidden Semi-Markov Models (HSMMs) can be employed to model behaviors of operators in HSC settings where there is some intermittent human interaction with a system via a set of external  ...  While regular Hidden Markov Models (HMMs) can be used to model operator behavior, HSMMs are particularly suited to time-critical supervisory control domains due to their explicit representation of state  ...  If the state duration is important, however as in the case of many HSC applications, HSMMs can provide a powerful framework to capture such information.  ... 
doi:10.1016/j.engappai.2011.04.008 fatcat:yswsv52jxbb7xlc56ws2xaji7i

Pedestrian Models for Autonomous Driving Part II: high level models of human behaviour [article]

Fanta Camara, Nicola Bellotto, Serhan Cosar, Florian Weber, Dimitris Nathanael, Matthias Althoff, Jingyuan Wu, Johannes Ruenz, André Dietrich, Gustav Markkula, Anna Schieben, Fabio Tango, Natasha Merat (+1 others)
2020 arXiv   pre-print
Autonomous vehicles (AVs) must share space with human pedestrians, both in on-road cases such as cars at pedestrian crossings and off-road cases such as delivery vehicles navigating through crowds on high-streets  ...  models of interactions between pedestrians and autonomous vehicles.  ...  Projectionbased external human machine interfaces enabling interaction between automated vehicles and pedestrians. In Driving Simulation Conference (DSC), 2018.  ... 
arXiv:2003.11959v1 fatcat:acjjwohahvdlxgy56j45fjtkdq

Vision based Traffic Police Hand Signal Recognition in Surveillance Video - A Survey

R. Sathya, M. Kalaiselvi Geetha
2013 International Journal of Computer Applications  
Human gesture recognition has become a very important topic in computer vision. The purpose of this survey is to provide a detailed overview and categories of current issues and trends.  ...  In this paper image representation,action representation, human action detection,feature extraction and human action recognition were also discussed.  ...  The Hidden Markov Model (HMM) models are sequence of observations as a piecewise stationary process. In hidden markov model the states are not directly accessible to the observer.  ... 
doi:10.5120/14037-2192 fatcat:dtns3iu3fje77dnrgsn2346qoq

Machine Learning Methods from Group to Crowd Behaviour Analysis [chapter]

Luis Felipe Borja-Borja, Marcelo Saval-Calvo, Jorge Azorin-Lopez
2017 Lecture Notes in Computer Science  
In this paper, a review of the methods and techniques based on machine learning to classify group behaviour in sequence of images is presented.  ...  The human behaviour analysis has been a subject of study in various fields of science (e.g. sociology, psychology, computer science).  ...  -Level 3 (Interaction): In this category human-human or human-object interaction activities are performed.  ... 
doi:10.1007/978-3-319-59147-6_26 fatcat:dpjt2ulspjhwrd2x4co7q7z22q

Decoding pedestrian and automated vehicle interactions using immersive virtual reality and interpretable deep learning [article]

Arash Kalatian, Bilal Farooq
2020 arXiv   pre-print
For this purpose, an interpretable machine learning framework is proposed to explore factors affecting pedestrians' wait time before crossing mid-block crosswalks in the presence of automated vehicles.  ...  To ensure pedestrian friendly streets in the era of automated vehicles, reassessment of current policies, practices, design, rules and regulations of urban areas is of importance.  ...  Finally, our paper is a part of an on-going research on interactions of humans and automated vehicle, which aims to develop prediction and training tools to develop socially-aware automated vehicles.  ... 
arXiv:2002.07325v1 fatcat:dvnus76z4newlj2ifa547s4vfu

Fingers gestures early-recognition with a unified framework for RGB or depth camera

Sotiris Manitsaris, Apostolos Tsagaris, Alina Glushkova, Fabien Moutarde, Frédéric Bevilacqua
2016 Proceedings of the 3rd International Symposium on Movement and Computing - MOCO '16  
In the second case, both standardized and user-defined gestures (driving, waypoints etc.) are recognized and used to interactively control an automated guided vehicle.  ...  Communication patterns that are used in the everyday life of human beings can be a basis to develop novel natural communication modalities between humans and computers.  ...  ACKNOWLEDGMENTS A part of the research project is implemented within the framework of the Action «Supporting Postdoctoral Researchers» of the Operational Program "Education and Lifelong Learning" (Action's  ... 
doi:10.1145/2948910.2948947 dblp:conf/moco/ManitsarisTGMB16 fatcat:5uzrqb4albbw5gwbjsypk3sria

Guest Editorial: AI Applications to Intelligent Vehicles for Advancing Intelligent Transport Systems

2020 IET Intelligent Transport Systems  
He was also recognized as top 1% reviewers in Engineering by Publons in 2018.  ...  He serves as the reviewer from more than 20 known journals, and was awarded as an outstanding reviewer by Mechanical Systems and Signal Processing and Mechatronics in 2018.  ...  In 'Iterative learning of an unknown road path through cooperative driving of vehicles', Yang et al. propose a method for vehicle controller to learn human driving behaviour through iterative interactions  ... 
doi:10.1049/iet-its.2020.0189 fatcat:7cgsidr4lfeqvd3ffjtmv4guwi
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