Relevant bibliographies by topics / Human-Machine Interface

Academic literature on the topic 'Human-Machine Interface'

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Published: 4 June 2021
Last updated: 11 September 2023

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Journal articles on the topic "Human-Machine Interface"

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Jung, Hoiju, Yongwon Dong, and Shinsuk Park. "Immersive Human-Machine Interface Design for Teleoperated Surgical System." Abstracts of the international conference on advanced mechatronics : toward evolutionary fusion of IT and mechatronics : ICAM 2010.5 (2010): 724–30. http://dx.doi.org/10.1299/jsmeicam.2010.5.724.

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Okura, Michiko. "Interface for Human-machine Interaction." TRENDS IN THE SCIENCES 10, no. 8 (2005): 52–55. http://dx.doi.org/10.5363/tits.10.8_52.

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Mahajan, Prof Mahadev. "Human Machine Interface Using IOT." International Journal for Research in Applied Science and Engineering Technology 7, no. 5 (May 31, 2019): 4041–43. http://dx.doi.org/10.22214/ijraset.2019.5676.

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You, Fang, Xu Yan, Jun Zhang, and Wei Cui. "Design Factors of Shared Situation Awareness Interface in Human–Machine Co-Driving." Information 13, no. 9 (September 16, 2022): 437. http://dx.doi.org/10.3390/info13090437.

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Automated vehicles can perceive their environment and control themselves, but how to effectively transfer the information perceived by the vehicles to human drivers through interfaces, or share the awareness of the situation, is a problem to be solved in human–machine co-driving. The four elements of the shared situation awareness (SSA) interface, namely human–machine state, context, current task status, and plan, were analyzed and proposed through an abstraction hierarchy design method to guide the output of the corresponding interface design elements. The four elements were introduced to visualize the interface elements and design the interface prototype in the scenario of “a vehicle overtaking with a dangerous intention from the left rear”, and the design schemes were experimentally evaluated. The results showed that the design with the four elements of an SSA interface could effectively improve the usability of the human–machine interface, increase the levels of human drivers’ situational awareness and prediction of dangerous intentions, and boost trust in the automatic systems, thereby providing ideas for the design of human–machine collaborative interfaces that enhance shared situational awareness in similar scenarios.
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Chung, Jaeho, Jae-hwan Bong, Suhun Jung, and Shinsuk Park. "1P1-B08 Feasibility of EEG as Human-Machine Interface Modality Analysis of EEG data from Brain-Machine Interface(Neurorobotics & Cognitive Robotics)." Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec) 2013 (2013): _1P1—B08_1—_1P1—B08_3. http://dx.doi.org/10.1299/jsmermd.2013._1p1-b08_1.

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Payal, Mohit. "A Human-Machine Interface for Electronic Assistive Technologies." Mathematical Statistician and Engineering Applications 71, no. 1 (January 1, 2022): 351–67. http://dx.doi.org/10.17762/msea.v71i1.2127.

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Human-machine interaction (HMI) refers to the two-way exchange of information and actions between a human and a machine via the latter's user interface. Gestures and other forms of natural user interfaces are becoming increasingly popular because they allow humans to interact with technology in ways that feel more natural to them. Gesture-based HMI uses a sensor like the Microsoft Kinect to detect human motion and posture, which is then translated into machine input. Using Kinect's data—which includes RGB (red, green, and blue), depth, and skeleton information—to recognize meaningful human motions is the core function of gesture-based HMI. This article provides an introduction of electronic assistive technologies (EATs) and discusses the importance of human-machine interfaces (HMIs) in their development. HMIs for EATs must consider accessibility, personalization, safety, and user-centered design elements to meet the needs and preferences of users with disabilities or limited mobility. There are benefits and drawbacks to using each type of human-machine interface currently in use, such as brain-computer interfaces, touchscreens, switches, and sensors, and voice recognition software. Good design has the potential to increase the usability and performance of these technologies, as evidenced by studies of successful HMIs in EATs. Constant research and improvement of HMIs for EATs is necessary to increase accessibility and quality of life for people with impairments or restricted mobility.
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Shyshak, A., and O. Pupena. "Management of human-machine interface lifecycle." Scientific Works of National University of Food Technologies 26, no. 3 (June 2020): 17–27. http://dx.doi.org/10.24263/2225-2924-2020-26-3-4.

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FUKUMORI, Satoshi. "Citizen Science in Human-Machine Interface." TRENDS IN THE SCIENCES 23, no. 11 (November 1, 2018): 11_46–11_49. http://dx.doi.org/10.5363/tits.23.11_46.

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OHKURA, Michiko. "Human-Machine Interface of Automated Driving." TRENDS IN THE SCIENCES 24, no. 9 (September 1, 2019): 9_76. http://dx.doi.org/10.5363/tits.24.9_76.

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Hirabayashi, Taketsugu. "Human Machine Interface for Underwater Excavator." Journal of the Robotics Society of Japan 33, no. 6 (2015): 412–15. http://dx.doi.org/10.7210/jrsj.33.412.

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Dissertations / Theses on the topic "Human-Machine Interface"

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Toure, Zikra. "Human-Machine Interface Using Facial Gesture Recognition." Thesis, University of North Texas, 2017. https://digital.library.unt.edu/ark:/67531/metadc1062841/.

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This Master thesis proposes a human-computer interface for individual with limited hand movements that incorporate the use of facial gesture as a means of communication. The system recognizes faces and extracts facial gestures to map them into Morse code that would be translated in English in real time. The system is implemented on a MACBOOK computer using Python software, OpenCV library, and Dlib library. The system is tested by 6 students. Five of the testers were not familiar with Morse code. They performed the experiments in an average of 90 seconds. One of the tester was familiar with Morse code and performed the experiment in 53 seconds. It is concluded that errors occurred due to variations in features of the testers, lighting conditions, and unfamiliarity with the system. Implementing an auto correction and auto prediction system will decrease typing time considerably and make the system more robust.
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Farneland, Christian, and Magnus Harrysson. "Developing a Human-Machine-Interface with high usability." Thesis, KTH, Data- och elektroteknik, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-188499.

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When developing a Human-Machine-Interface (HMI) it is important to make sure that it is easy to learn and use, to have high usability. If it does not, the operator of the machine suffers unnecessarily and it also becomes harder to sell for the producer of the machine. The effectiveness and efficiency of the machine drops down when it is hard to operate. To make it easier for future developers to reach a high usability factor when developing a HMI, this thesis aimed to find a carefully prepared process to follow when doing so. The result was a process that was tested out with a HMI prototype for waterjet cutting machines. This prototype was then tested in different use cases by both experienced operators as well as beginners. The testing produced positive feedback on the prototype, proving that the process that had been followed was being successful.
När man utvecklar ett Människa-Maskin-Gränssnitt (HMI) så är det viktigt att se till att det är lätt att lära sig och använda, att det har hög användbarhet. Ifall den inte har det så försämrar det operatörers situation i onödan och gör det svårare för producenter att sälja produkten. Produktionseffektiviteten minskar ifall maskinen är svår att hantera. För att göra det lättare för framtida utvecklare att nå en hög användbarhet när de utvecklar ett HMI så siktade detta examensarbete på att hitta en genomtänkt process att följa vid ett sådant tillfälle. Resultatet blev en process som testades via en HMI prototyp för vattenskärnings maskiner. Denna prototyp blev sedan testad i olika användarfall av både erfarna operatörer och nybörjare. Testerna visade sig ge positiv återkoppling, vilket bevisade att processen som följts upp till den punkten fungerade.
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Oskoei, Mohammadreza Asghari. "Developing adaptive myoelectric human-machine interface for rehabilitation." Thesis, University of Essex, 2009. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.502190.

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Makhtoumi, Golnaz. "Human Machine Interface for Low Speed Semi-autonomous Maneuvering." Thesis, KTH, Elektronik- och datorsystem, ECS, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-142670.

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For the drivers of heavy trucks, performing some maneuvers with high precision could be a challenging task even for experienced ones. Volvo has a system which helps drivers in reversing the truck. Developing a human machine interface on a mobile platform with high usability for this system could help drivers to decrease both the stress level and spent time on maneuvering and will result in performing the task easier. This thesis introduces a new area in safety critical systems by combining automation with a mobile platform. An iterative and user centered design process utilized and three main iterations performed. In first iteration a low-fidelity prototype was created and evaluated by performing user tests. The output of usability test used to implement the software prototype for the second iteration. Evaluation of software prototype was done by desktop testing. In third iteration, second version of software prototype evaluated by performing field testing. Android and Google maps were used to implement three tasks: Destination, Rewind and Saved point. In all these iterations usability and safety were two main concerns and considered by looking into guidelines and performing evaluations. In the final test, the prototype was evaluated considering four usability factors: satisfaction, learnability, safety and achievement. After analyzing these factors prototype showed strong potential for a future product.
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Hale, Rodney D. "Gesture recognition as a means of human-machine interface." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1998. http://www.collectionscanada.ca/obj/s4/f2/dsk2/tape17/PQDD_0014/MQ36129.pdf.

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Kapur, Arnav. "Human-machine cognitive coalescence through an internal duplex interface." Thesis, Massachusetts Institute of Technology, 2018. http://hdl.handle.net/1721.1/120883.

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Thesis: S.M., Massachusetts Institute of Technology, School of Architecture and Planning, Program in Media Arts and Sciences, 2018.
Cataloged from PDF version of thesis.
Includes bibliographical references (pages 59-62).
In this thesis, we present a non-invasive and non-intrusive system that enables silent duplex human-machine communication and enables an interface that is internal to the user. We present a peripheral nerve-computer interface, AlterEgo, that allows a user to silently converse with a computing device without any voice or any discernible movements - thereby enabling the user to communicate with devices, AI assistants, applications or other people in a silent, concealed and seamless manner. A user's volitional internally articulated speech is characterized by efferent signal signatures in internal speech articulators that are captured and recognized by the proposed system. The hope is to facilitate a natural language user interface, where users can silently communicate in natural language and receive information and sensory input aurally through bone conduction. This enables a discreet, closed-loop interface with a computing device, and thus providing a seamless form of cognitive augmentation. The goal of the thesis is to describe the architecture, design, implementation and operation of the entire system along with demonstrating the utility of the platform as a personal computing system.
by Arnav Kapur.
S.M.
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Mastin, Alan. "Human-Machine Interface for Tactical Air Traffic Control Communications." UNF Digital Commons, 1990. http://digitalcommons.unf.edu/etd/133.

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This thesis proposes the design for a prototype device that would be used by Air Traffic Controllers in the radar environment to input tactical Air Traffic Control (ATC) instructions to be sent to aircraft via the Mode S digital data link network. The purpose of the device is to reduce the time required to issue instructions and to eliminate misunderstandings that occur when instructions are issued over voice transmission frequencies. The purpose of this thesis was to develop the device in the most ergonomically suited manner based on the air traffic controller's communications requirements. Digital communications systems include both airborne and ground based components. This project was concerned with the development of the ground-based aspect of the communications system.
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Delnevo, Giovanni. "In-vehicle human machine interface: gamification e machine learning a supporto dell'eco-driving." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2016. http://amslaurea.unibo.it/12283/.

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Considerando che una delle maggiori problematiche dei veicoli elettrici è l’autonomia della batteria, questo progetto di tesi si pone l'obiettivo di realizzare un sistema che aiuti l'utente a guidare in maniera efficiente, aiutandolo a salvaguardare la carica della batteria. In particolare, si vuole realizzare un sistema che aiuti l'utente durante le frenate. Questo sistema, tramite meccanismi di Machine Learning, dovrà predire lo stato di carica della batteria, sulla base del valore di alcuni parametri che riguardano la frenata. In base al valore predetto, il sistema dovrà poi fornire al conducente delle indicazioni, in tempo reale, su come andare a modificare la frenata. Si vogliono inoltre integrare in questo sistema anche dei meccanismi di gamification. Lo scopo è di incentivare l'utente a seguire le indicazioni proposte dal sistema, fornendogli obiettivi da raggiungere, livelli in cui progredire, la competizione con altri utenti, la condivisione dei propri successi e il guadagno di ricompense.
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Lathan, Corinna E. (Corinna Elisabeth). "Sensorimotor adaptation of human control strategies : ramifications for future human-machine interface design." Thesis, Massachusetts Institute of Technology, 1995. http://hdl.handle.net/1721.1/51549.

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Jia, Pei. "Audio-visual based human machine interface for an intelligent wheelchair." Thesis, University of Essex, 2011. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.531551.

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Books on the topic "Human-Machine Interface"

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C, Yuen P., Tang Yuan Yan 1943-, and Wang Patrick S-P, eds. Multimodal interface for human-machine communication. River Edge, N.J: World Scientific, 2002.

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Human-machine interface design for process control. Research Triangle Park, NC: Instrumentation, Systems, and Automation Society, 2009.

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Elia, Alberto. Human-machine interface design for process control. Research Triangle Park, NC: Instrumentation, Systems, and Automation Society, 2009.

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Janapati, Ravichander, Usha Desai, Shrirang Ambaji Kulkarni, and Shubham Tayal. Human-Machine Interface Technology Advancements and Applications. Boca Raton: CRC Press, 2023. http://dx.doi.org/10.1201/9781003326830.

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Sutcliffe, Alistair. Human-computer interface design. Basingstoke: Macmillan Education, 1988.

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Sutcliffe, Alistair. Human-computer interface design. New York, NY, USA: Springer-Verlag New York Inc., 1989.

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Sutcliffe, Alistair. Human-computer interface design. Basingstoke: Macmillan Education, 1988.

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Bødker, Susanne. Through the interface: A human activity approach to user interface design. Hillsdale, N.J: Lawrence Erlbaum, 1991.

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Through the interface: A human activity approach to user interface design. Hillsdale, N.J: L. Erlbaum, 1990.

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Bødker, Susanne. Through the interface: A human activity approach to user interface design. Aarhus, Denmark: Aarhus Universitet, Matematisk Institut, Datalogisk Afdeling, 1987.

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Book chapters on the topic "Human-Machine Interface"

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Weik, Martin H. "human-machine interface." In Computer Science and Communications Dictionary, 738. Boston, MA: Springer US, 2000. http://dx.doi.org/10.1007/1-4020-0613-6_8515.

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Peng, Hongxing. "Human Machine Interface." In Encyclopedia of Smart Agriculture Technologies, 1–9. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-030-89123-7_182-1.

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Sakamura, Ken. "BTRON: Human-Machine Interface." In TRON Project 1987 Open-Architecture Computer Systems, 83–96. Tokyo: Springer Japan, 1987. http://dx.doi.org/10.1007/978-4-431-68069-7_8.

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Craelius, William. "The Human-Machine Interface." In Prosthetic Designs for Restoring Human Limb Function, 85–116. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-31077-6_6.

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Guedj, Richard A. "Aspects of Human Machine Interface." In Fundamental Algorithms for Computer Graphics, 997–1004. Berlin, Heidelberg: Springer Berlin Heidelberg, 1985. http://dx.doi.org/10.1007/978-3-642-84574-1_43.

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Plotnick, Rachel. "The unclean human-machine interface." In Computer Architectures, 114–32. Milton Park, Abingdon, Oxon : New York, NY : Routledge, 2020 | Series: Routledge research in design, technology: Routledge, 2019. http://dx.doi.org/10.4324/9780429264306-7.

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Kaufman, Arie, and Roni Yagel. "Toward a Three-Dimensional User Interface." In Human-Machine Interactive Systems, 255–67. Boston, MA: Springer US, 1991. http://dx.doi.org/10.1007/978-1-4684-5883-1_11.

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Shirota, Yukari, and Tosiyasu L. Kunii. "Action Propagation Model for User Interface Programs." In Human-Machine Interactive Systems, 23–35. Boston, MA: Springer US, 1991. http://dx.doi.org/10.1007/978-1-4684-5883-1_2.

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Krishnan, Deepa, and Tosiyasu L. Kunii. "A Graphical Interface for a Geometric Modeling Database." In Human-Machine Interactive Systems, 277–97. Boston, MA: Springer US, 1991. http://dx.doi.org/10.1007/978-1-4684-5883-1_13.

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Kalra, P., I. S. Pandzic, and N. Magnenat Thalmann. "Facial Interaction for Human Machine Interface." In Human Comfort and Security of Information Systems, 293–305. Berlin, Heidelberg: Springer Berlin Heidelberg, 1997. http://dx.doi.org/10.1007/978-3-642-60665-6_27.

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Conference papers on the topic "Human-Machine Interface"

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"Human Machine Interface." In 2020 IEEE 16th International Workshop on Advanced Motion Control (AMC). IEEE, 2020. http://dx.doi.org/10.1109/amc44022.2020.9244414.

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"Human Machine Interface." In 2019 IEEE International Conference on Mechatronics (ICM). IEEE, 2019. http://dx.doi.org/10.1109/icmech.2019.8722943.

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Gong, Chao. "Human-Machine Interface: Design Principles of Visual Information in Human-Machine Interface Design." In 2009 International Conference on Intelligent Human-Machine Systems and Cybernetics. IEEE, 2009. http://dx.doi.org/10.1109/ihmsc.2009.189.

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"Human, computer and machine interface." In 2010 8th IEEE International Conference on Industrial Informatics (INDIN). IEEE, 2010. http://dx.doi.org/10.1109/indin.2010.5549414.

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"Human, computer and machine interface." In 2011 9th IEEE International Conference on Industrial Informatics (INDIN). IEEE, 2011. http://dx.doi.org/10.1109/indin.2011.6034877.

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Di Lena, Pietro, Silvia Mirri, Catia Prandi, Paola Salomoni, and Giovanni Delnevo. "In-vehicle Human Machine Interface." In IUI'17: 22nd International Conference on Intelligent User Interfaces. New York, NY, USA: ACM, 2017. http://dx.doi.org/10.1145/3038450.3038455.

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Kalunga, Emmanuel K., Sylvain Chevallier, Olivier Rabreau, and Eric Monacelli. "Hybrid interface: Integrating BCI in multimodal human-machine interfaces." In 2014 IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM). IEEE, 2014. http://dx.doi.org/10.1109/aim.2014.6878132.

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Jansseune, Luc. "New Cockpit Human-Machine-Interface Concept." In SAE 2003 World Congress & Exhibition. 400 Commonwealth Drive, Warrendale, PA, United States: SAE International, 2003. http://dx.doi.org/10.4271/2003-01-0123.

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Zhao Jing and Jiang Qingyue. "Emotion-concerned human machine Interface Design." In 2015 IEEE 19th International Conference on Intelligent Engineering Systems (INES). IEEE, 2015. http://dx.doi.org/10.1109/ines.2015.7329716.

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Patel, Aditya, James Ramsay, Mohammad Imtiaz, and Yufeng Lu. "EMG-based Human Machine Interface Control." In 2019 12th International Conference on Human System Interaction (HSI). IEEE, 2019. http://dx.doi.org/10.1109/hsi47298.2019.8942598.

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Reports on the topic "Human-Machine Interface"

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Reifman, J., G. E. Graham, T. Y. C. Wei, K. R. Brown, and R. Y. Chin. Flexible human machine interface for process diagnostics. Office of Scientific and Technical Information (OSTI), May 1996. http://dx.doi.org/10.2172/224751.

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Bustamante, Carlos, Eduard Mateu, Jesús Hernández, and Álvaro Arrúe. Intelligent Human-Machine Interface for Wireless Signposts. Warrendale, PA: SAE International, October 2013. http://dx.doi.org/10.4271/2013-36-0056.

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Powell, Robert R. Future Cyborgs: Human-Machine Interface for Virtual Reality Applications. Fort Belvoir, VA: Defense Technical Information Center, April 2007. http://dx.doi.org/10.21236/ada497465.

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Mascarenas, David D., and Hyeongcheol Kim. A Vibro-Haptic Human-Machine Interface for Structural Health Monitoring. Office of Scientific and Technical Information (OSTI), February 2013. http://dx.doi.org/10.2172/1063917.

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Kiebel, G. R., J. E. Ellis, and M. R. Masliah. Usability testing of the human-machine interface for the Light Duty Utility Arm System. Office of Scientific and Technical Information (OSTI), September 1994. http://dx.doi.org/10.2172/10189690.

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Fang, Chen. Unsettled Issues in Vehicle Autonomy, Artificial Intelligence, and Human-Machine Interaction. SAE International, April 2021. http://dx.doi.org/10.4271/epr2021010.

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Artificial intelligence (AI)-based solutions are slowly making their way into our daily lives, integrating with our processes to enhance our lifestyles. This is major a technological component regarding the development of autonomous vehicles (AVs). However, as of today, no existing, consumer ready AV design has reached SAE Level 5 automation or fully integrates with the driver. Unsettled Issues in Vehicle Autonomy, AI and Human-Machine Interaction discusses vital issues related to AV interface design, diving into speech interaction, emotion detection and regulation, and driver trust. For each of these aspects, the report presents the current state of research and development, challenges, and solutions worth exploring.
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Donald D Dudenhoeffer and Burce P Hallbert. Technology Roadmap Instrumentation, Control, and Human-Machine Interface to Support DOE Advanced Nuclear Energy Programs. Office of Scientific and Technical Information (OSTI), March 2007. http://dx.doi.org/10.2172/983948.

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Truitt, R. W. Human-machine interface (HMI) report for 241-SY-101 data acquisition [and control] system (DACS) upgrade study. Office of Scientific and Technical Information (OSTI), October 1997. http://dx.doi.org/10.2172/353243.

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Gilmore, Walter E., and Kerith K. Stender. HUMAN MACHINE INTERFACE (HMI) EVALUATION OF ROOMS TA-50-1-60/60A AT THE RADIOACTIVE LIQUID WASTE TREATMENT FACILITY (RLWTF). Office of Scientific and Technical Information (OSTI), August 2012. http://dx.doi.org/10.2172/1050002.

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McDonald, M. J. Active Research Topics in Human Machine Interfaces. Office of Scientific and Technical Information (OSTI), December 2000. http://dx.doi.org/10.2172/773841.

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