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Journal articles on the topic 'Human-Machine Interface'

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Author: Grafiati

Published: 4 June 2021

Last updated: 11 September 2023

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1

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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2

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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3

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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4

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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5

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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6

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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7

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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8

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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9

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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10

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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11

Mason, David, and Charles D. Raab. "Surveillance and the human–machine interface." Information, Communication & Society 8, no. 1 (March 2005): 81–83. http://dx.doi.org/10.1080/13691180500067118.

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12

Park, S., and T. B. Sheridan. "Enhanced Human–Machine Interface in Braking." IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans 34, no. 5 (September 2004): 615–29. http://dx.doi.org/10.1109/tsmca.2004.832813.

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13

Wang, Jiangxin, Meng-Fang Lin, Sangbaek Park, and Pooi See Lee. "Deformable conductors for human–machine interface." Materials Today 21, no. 5 (June 2018): 508–26. http://dx.doi.org/10.1016/j.mattod.2017.12.006.

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14

González Calleros, Juan Manuel, Josefina Guerrero García, and Jean Vanderdonckt. "Advance human–machine interface automatic evaluation." Universal Access in the Information Society 12, no. 4 (August 20, 2013): 387–401. http://dx.doi.org/10.1007/s10209-013-0310-7.

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15

Jabaley, Craig S., Grant C. Lynde, Mark E. Caridi-Scheible, and Vikas N. O’Reilly-Shah. "The Human-Machine Interface in Anesthesiology." Anesthesia & Analgesia 130, no. 5 (May 2020): 1255–60. http://dx.doi.org/10.1213/ane.0000000000004628.

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16

Salvi, R. "PHIDIAS: New Human-Machine Interface Concepts." IFAC Proceedings Volumes 27, no. 12 (August 1994): 401–6. http://dx.doi.org/10.1016/s1474-6670(17)47503-3.

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17

Kishi, Hiroki, and Pitoyo Hartono. "Pain-Illusion for Human-Machine Interface." Journal of Signal Processing 27, no. 1 (January 1, 2023): 17–27. http://dx.doi.org/10.2299/jsp.27.17.

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18

Ma, Xue Liang, and Li Min Yu. "Study on the Feedback Information of Man-Machine Interface." Applied Mechanics and Materials 235 (November 2012): 340–44. http://dx.doi.org/10.4028/www.scientific.net/amm.235.340.

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This paper synthesizes the human-computer interaction and feedback from two aspects of the theory of in-depth research and analysis, reveals the interactive human-machine interfaces and inner relationship: human-computer interaction is a person and" contains the computer machines" effect relationship between scene depicts; and the human-machine interface is to achieve human-computer interaction forms and methods; at the same time, the system presents a new product development new thinking - interactive guide design. The design of the man-machine interface and real significance and related method were described briefly.

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19

Idesawa, Masanori, and Editor. "Special Issue on Human Interface." Journal of Robotics and Mechatronics 4, no. 1 (February 20, 1992): 1. http://dx.doi.org/10.20965/jrm.1992.p0001.

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In recent years, the expression ""human interface"" is often heard. Now that information systems have been ingrained deeply in the society, it is no longer possible to ignore the existence of information systems even though in man-to-man communications. The expression ""human interface"" may be considered to encompass not only the conventional man-machine interfaces related to communication between man and machine but also the promotion and harmonization of communication between people, between societies and people, and even between different cultures and between different languages. It also gives the impression that it is trying to come closer to the human side. On the other hand, ""human"" can be read in the Japanese Romanize language as ""human"" which phonetically means ""dissatisfaction."" Thus the human interface may ironically be called the ""dissatisfied"" interface. The conventional ""man-machine interface,"" namely the interface between ""man"" and ""machine,"" tended to favor the efficiency of the machine and often attempted to push men closer to the side of the machine, that is, to force the burden on the men. This is precisely the ""dissatisfied"" interface itself. It is no exaggeration to say that whether the human interface is considered truly to be human or not will depend upon the effort to eliminate this dissatisfaction and make the interface pleasant to the human beings. Fortunately, study and research efforts have been made, in recent years, more on interfaces emphasizing the human side than on the conventional man-machine interfaces. In particular, the importance of welfare systems for conquering the physical trouble of men have been recognized and their developmental work is attempted at various research centers. Moreover, research efforts are also being directed towards not only the passive attempt to conquer men's physical trouble but also the active attempt to draw out hidden capabilities of men. In addition, the recent years have seen a great deal of developmental work on information presenting systems which make full use of information perceiving capabilities by human senses such as artificial reality system or virtual reality system. The application of such systems as a new means of communication is awaited in expec tation. To be more precise, these systems are utilized for facilitating such tasks as, for example, the tele-existence in which work at a remote place is carried out at a near place after the environment at the remote place has been transferred to the near place, operations involing the joining of capillary vessels under microscopes, operations at the molecular levels in micro-environments under electron microscopes, and tasks in gigantic environments like assembly of cosmic structures, after achieving the imaginary creation of working conditions similar to normal conditions in the normal environment to which abnormal envirnments have been transferred. In order to succeed in these attempts, it is important to have environment transforming technology, environment transferring technology, and environment presenting technology. To realize these technologies, the maximal consideration of the characteristics of men is indispensable. In such human interface, it is desirable to develop means of transmitting the intentions of men accurately and presenting these intentions effectively so that men can easily recognize, understand, and judge them. Moreover, in view of the fact that it is important in facilitating tasks to react to actions of men, that is, to have the existence of reactions, it is desirable to develop means of presentation including reactions, operation, instruction, and inputting. In addition, it is important to have still deeper understandings of the characteristics of men and develop instructive techniques and presentation techniques appropriate to the characteristics of men, if more effective presentation to the men is to be achieved and the instructions from men to systems facilitated. Research on the functions and characteristics of men themselves such as human sensory functions, brain functions, and psychological characteristics has now become important. Although the trends of the human interface are not yet clear, this special issue has taken up various topics related to this subject cross-sectionally, although it may be judged somewhat biased. It is our hope that this issue will provide some help in seeking the developmental direction of the human interface in the future.

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20

Chignell, M. H., and P. A. Hancock. "Integration of the Cognitive and Physical Aspects of the Human-Machine Interface." Proceedings of the Human Factors Society Annual Meeting 30, no. 10 (September 1986): 1007–11. http://dx.doi.org/10.1177/154193128603001015.

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Current approaches to human-machine interface design are reflective of the traditional dualistic perspective that separates the physical from cognitive characteristics of human functioning. With the development of flexible computing machines and new display technologies, this dualistic perspective can be replaced with one where cognitive and physical aspects of the interface are integrated through the unification of isomorphic structures. This paper reviews the nature of physical and cognitive interfaces and shows how they may be integrated in the design of human-machine systems in order to improve the compatibility between operator and machine.

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21

Lin, Yingzi. "Toward Intelligent Human Machine Interactions." Mechanical Engineering 139, no. 06 (June 1, 2017): S4—S8. http://dx.doi.org/10.1115/1.2017-jun-4.

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This article discusses the concept of human assistance systems (HAS) and research works to design the interface of HAS. It also focuses on the issue of how humans and HAS collaborate with each other during such interactions. HAS are expected to detect and compensate for human errors. In a case that a machine is a part of the team to complete an operation, it is highly desired that HAS collaborate with humans effectively. Advances on HAS have been made within application areas including vehicle driving, pilot–flight interfaces, healthcare and rehabilitation, robotics, etc. One important method for studying driver assistance system (DAS) is the availability of a powerful research tool, as the simulator is an effective means to generate real-world traffic scenarios without putting drivers in any real danger. A control strategy for HAS been investigated, especially for DAS. The goal is to provide a warning message and/or intervention to the driver if necessary to avoid hitting objects on road while not frustrating the user.

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22

Patil, Abhijeet. "Automation of Universal Testing machine using Human Machine Interface (HMI)." International Journal on Recent and Innovation Trends in Computing and Communication 3, no. 1 (2015): 401–3. http://dx.doi.org/10.17762/ijritcc2321-8169.150179.

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23

Bobtsov, Alexey A., and Alexandr S. Borgul. "Human-Machine Interface for Mechatronic Devices Control." IFAC Proceedings Volumes 46, no. 9 (2013): 614–18. http://dx.doi.org/10.3182/20130619-3-ru-3018.00494.

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24

ZHANG, Lei. "Information Coding for Cockpit Human-machine Interface." Chinese Journal of Mechanical Engineering 24, no. 04 (2011): 707. http://dx.doi.org/10.3901/cjme.2011.04.707.

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25

Oki, Keisuke. ""Brain Wave Rider": A Human-Machine Interface." Leonardo 28, no. 4 (1995): 307. http://dx.doi.org/10.2307/1576195.

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26

Ahmed, Sheikh Rafik Manihar, Ekta Shrivastava, Komal Prasad Dewangan, and Nalin Tiwari. "Human Machine Interface Emulating Function Of Mouse." i-manager's Journal on Embedded Systems 1, no. 4 (January 15, 2013): 36–44. http://dx.doi.org/10.26634/jes.1.4.2110.

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27

Hall, S., K. Cockerham, and D. Rhodes. "What's your color? [human-machine interface design]." IEEE Industry Applications Magazine 8, no. 2 (2002): 50–54. http://dx.doi.org/10.1109/2943.985683.

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28

Hartman, Amiel, and Vidya K. Nandikolla. "Human-Machine Interface for a Smart Wheelchair." Journal of Robotics 2019 (January 2, 2019): 1–11. http://dx.doi.org/10.1155/2019/4837058.

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The paper describes the integration of hardware and software with sensor technology and computer processing to develop the next generation intelligent wheelchair. The focus is a computer cluster design to test high performance computing for smart wheelchair operation and human interaction. The LabVIEW cluster is developed for real-time autonomous path planning and sensor data processing. Four small form factor computers are connected over a Gigabit Ethernet local area network to form the computer cluster. Autonomous programs are distributed across the cluster for increased task parallelism to improve processing time performance. The distributed programs operating frequency for path planning and motion control is 50Hz and 12.3Hz for 0.3 megapixel robot vision system. To monitor the operation and control of the distributed LabVIEW code, network automation is integrated into the cluster software along with a performance monitor. A link between the computer motion control program and the wheelchair joystick control of the drive train is developed for the computer control interface. A perception sensor array and control circuitry is integrated with the computer system to detect and respond to the wheelchair environment. Multiple cameras are used for image processing and scanning laser rangefinder sensors for obstacle avoidance in the cluster program. A centralized power system is integrated to power the smart wheelchair along with the cluster and sensor feedback system. The on board computer system is evaluated for cluster processing performance for the smart wheelchair, incorporating camera machine vision and LiDAR perception for terrain obstacle detection, operating in urban scenarios.

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29

Suomela, Jussi, and Aarne Halme. "Cognitive Human Machine Interface of Workpartner Robot." IFAC Proceedings Volumes 34, no. 19 (September 2001): 51–56. http://dx.doi.org/10.1016/s1474-6670(17)33112-9.

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30

SMITH, C. "Design of the Eurofighter Human Machine Interface." Air & Space Europe 1, no. 3 (June 1999): 54–59. http://dx.doi.org/10.1016/s1290-0958(00)87075-6.

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31

Ross, Carolyn F. "Sensory science at the human–machine interface." Trends in Food Science & Technology 20, no. 2 (February 2009): 63–72. http://dx.doi.org/10.1016/j.tifs.2008.11.004.

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32

Bach-y-Rita, Paul, and Stephen W. Kercel. "Sensory substitution and the human–machine interface." Trends in Cognitive Sciences 7, no. 12 (December 2003): 541–46. http://dx.doi.org/10.1016/j.tics.2003.10.013.

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33

Debernard, S., C. Chauvin, R. Pokam, and S. Langlois. "Designing Human-Machine Interface for Autonomous Vehicles." IFAC-PapersOnLine 49, no. 19 (2016): 609–14. http://dx.doi.org/10.1016/j.ifacol.2016.10.629.

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34

Wei, Xiao, Xiaotong Liang, Chongguang Meng, Shuze Cao, Qiongfeng Shi, and Jun Wu. "Multimodal electronic textiles for intelligent human-machine interfaces." Soft Science 3, no. 2 (2023): 17. http://dx.doi.org/10.20517/ss.2023.09.

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Smart wearable electronic devices capable of information exchanging (such as human-machine interfaces) have developed into key carriers for the interconnection, intercommunication, and interaction between humans and machines. Multimodal electronic textiles that incorporate multifunctional sensors into daily clothing are an emerging technology to realize smart wearable electronics. This has greatly advanced human-machine interface technology by bridging the gap between wearing comfort and traditional wearable electronic devices, which will facilitate the rapid development and wide application of natural human-machine interfaces. In this article, we provide a comprehensive summary of the latest research progress on multimodal electronic textiles for intelligent human-machine interfaces. Firstly, we introduce the most representative electronic textile manufacturing strategies in terms of functional fiber preparation and multimodal textile forming. Then, we explore the multifunctional sensing capability of multimodal electronic textiles and emphasize their advanced applications in intelligent human-machine interfaces. Finally, we present new insights on the future research directions and the challenges faced in practical applications of multimodal electronic textiles.

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35

Ma, Ming Kun, Jia Zhang, Jun Chen, Dong Hui Liu, and Geng Huang Yang. "Portable Monitoring Instrument Based on ARM and LINUX." Applied Mechanics and Materials 333-335 (July 2013): 2380–83. http://dx.doi.org/10.4028/www.scientific.net/amm.333-335.2380.

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Man-machine interface (Human Machine Interface, HMI) is known as the man-machine interface, which is the transmission of information between human and computer media.And it plays an important role in computer system design. Man-machine interface as an independent field of study is pay attention to the world widely. From the perspective of the development of computer technology, man-machine interface guide the development of the related hardware and software.

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36

Dubois, Michel. "Special Session on Man-Machine Interface "Human Cognition and Interface Design"." IFAC Proceedings Volumes 33, no. 17 (July 2000): 337–38. http://dx.doi.org/10.1016/s1474-6670(17)39424-7.

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37

Li, Chun Fu, Hui Ting Shi, Jing Jing Huang, and Lu Ying Chen. "Two Typical Symbols in Human-Machine Interactive Interface." Applied Mechanics and Materials 635-637 (September 2014): 1659–65. http://dx.doi.org/10.4028/www.scientific.net/amm.635-637.1659.

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In the modern Human-Machine interactive interface, symbol is used to express ideas, and is an important component of information visualization. By analyzing the style of interface design of "skeuomorphism" and "flat" that are two typical symbol designs, we analyze the differences between them, find out the user cases of these two symbols, and explore the future trends of the basic theories about symbol in the contemporary interactive interface. The experimental results show that skeuomorphism is different from flat in terms of five aspects including identity, interest, timeliness, familiarity, and simplicity. At last, we expect our research to provide guidance for the design of interface icons.

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38

Zhang, Kun, and Xi Wei Peng. "Design of Human Machine Interface Based on ARM and Linux." Applied Mechanics and Materials 241-244 (December 2012): 2714–17. http://dx.doi.org/10.4028/www.scientific.net/amm.241-244.2714.

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In order to provide more convenient options for users and developers, the design of Human Machine Interface (HMI) based on ARM and embedded Linux is put forward. It makes full use of multiple peripherals of ARM and flexibility of Linux OS. Firstly, hardware design of the HMI system is presented. Then methods of embedded Linux transplanting and the device drivers programming are discussed. Finally, running results and applications of the designed HMI are considered. The design combines the features of traditional HMI and Micro Control Unit (MCU) HMI, including low cost, rich interfaces and easy programming.

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39

Beltramini, Enrico. "Human vulnerability and robo-advisory." Baltic Journal of Management 13, no. 2 (April 3, 2018): 250–63. http://dx.doi.org/10.1108/bjm-10-2017-0315.

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Purpose The purpose of this paper is to introduce the work of Mark Coeckelbergh into the field of management. Design/methodology/approach This is a conceptual paper with interviews. Findings The author suggests that Coeckelberghs’ considerations of an anthropology of vulnerability have the potential to provide a rich and insightful exploration of the machine-human interface, which is not afforded by many of the current approaches taken in this field. Their development of an anthropology of vulnerability suggests an approach to the machine-human interface that re-frames the machine-human interface in terms of human vulnerability, rather than machine’s performance, and sustains that the machine-human interface can be understood in terms of the transfer of human vulnerability. Research limitations/implications This paper reveals some of the possibilities inherent in Coeckelbergh’s theories by providing an analysis of a specific event, the recent introduction of robo-advisors in portfolio management, from a Coeckelberghian perspective and by exploring some of the implications of this type of approach for the machine-human interface. Originality/value As far as the author knows, there is no previous paper on this topic.

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40

Sitompul, Taufik Akbar. "Human–Machine Interface for Remote Crane Operation: A Review." Multimodal Technologies and Interaction 6, no. 6 (June 10, 2022): 45. http://dx.doi.org/10.3390/mti6060045.

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Cranes are traditionally controlled by operators who are present on-site. While this operation mode is still common nowadays, a significant amount of progress has been made to move operators away from their cranes, so that they would not be exposed to hazardous situations that may occur in their workplace. Despite its apparent benefits, remote operation has a major challenge that does not exist in on-site operation, i.e., the amount of information that operators could receive remotely is more limited than what they could receive by being on-site. Since operators and their cranes are located separately, human–machine interface plays an important role in facilitating information exchange between operators and their machines. This article examines various kinds of human–machine interfaces for remote crane operation that have been proposed within the scientific community, discusses their possible benefits, and highlights opportunities for future research.

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41

Ping, Liu, Shu Jun Huang, Jin Zhen Fan, and Guo Yong Lin. "Design of FANUC System Human-Machine Interface and Machine Realization Based on C Language." Advanced Materials Research 472-475 (February 2012): 375–79. http://dx.doi.org/10.4028/www.scientific.net/amr.472-475.375.

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The user interface of FANUC CNC system provides only the basic functions, leading to the state and performance of the real-time data can’t be shown to the users, and affect the machining accuracy, efficiency and machine maintenance. A method is proposed that the independent user interface of FANUC CNC system developed in C language for secondary, designed the friendly Human-Machine interface. The function of the interface have real-time processing to extract the status screen、classification detection devices screen、self-diagnosis display screen、help information display screen etc. After the application of CNC machine, the machine failure rate has dropped, the maintenance time has be reduced, and it can reflect the designer's intent and style of the machine manufacturer.

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42

Hao, Lei, and Won-Jun Chung. "Human-Machine Interface Visual Communication Design Model of Electronic Equipment Using Machine Vision Technology." Wireless Communications and Mobile Computing 2022 (March 27, 2022): 1–9. http://dx.doi.org/10.1155/2022/7138674.

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Electronic equipment has high precision, high reliability, high stability, and high security, as well as the ability to adapt to a variety of challenging environments. With the rapid advancement of mechanization, automation, and electronization, the impact of human factors in production is growing, and designers are increasingly concerned about the problem of man-machine coordination. It is critical to have a man-machine interface that is suitable for operators’ thinking and behavior and has a guiding function. The accuracy and timeliness of equipment control are linked to the human-computer interaction interface. The visual characteristics of human cone cells are used to divide the neural visual perception intensity grades. With the visual communication index as the optimization goal, a mathematical model of human-computer interaction interface optimization is established and solved using a genetic algorithm. This method is used to optimize the design of a human-computer interaction interface, and the results show that the visual communication index of the optimized human-computer interaction interface has improved significantly.

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43

Matsunaga, Hisashi, and Hiromu Nakazawa. "Development of Adaptive Human-Machine Interface to Match Human Satisfaction." IFAC Proceedings Volumes 32, no. 2 (July 1999): 6529–34. http://dx.doi.org/10.1016/s1474-6670(17)57115-3.

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44

Sasne, Ajinkya, Ashutosh Banait, Apurva Raut, and Vishal Raut. "Brain Machine Interface." International Journal for Research in Applied Science and Engineering Technology 10, no. 5 (May 31, 2022): 3641–42. http://dx.doi.org/10.22214/ijraset.2022.43218.

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Abstract— Brain Machine Interface is also known as ‘A brain-computer inteface’.A brain-computer interface (BCI), sometimes called a direct neural interface or a brain-machine interface, is a direct communication pathway between a human or animal brain and an external device. In one-way BCIs, computers either accept commands from the brain or send signals to it (for example, to restore vision) but not both. Two-way BCIs would allow brains and external devices to exchange information in both directions but have yet to be successfully implanted in animals or humans. In this definition, the word brain means the brain or nervous system of an organic life form rather than the mind. Computer means any processing or computational device, from simple circuits to silicon chips. Research on BCIs began in the 1970s, but it wasn't until the mid1990s that the first working experimental implants in humans appeared. Following years of animal experimentation, early working implants in humans now exist, designed to restore damaged hearing, sight and movement. With recent advances in technology and knowledge, pioneering researchers could now conceivably attempt to produce BCIs that augment human functions rather than simply restoring them, previously only a possibility in science fiction.

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45

Lu, Jin, Jun Ma, and Zaiyan Gong. "Design of Human-Machine Interaction Interface for Autonomous Vehicles Based on Multidimensional Perceptual Context." Scientific Programming 2021 (November 25, 2021): 1–8. http://dx.doi.org/10.1155/2021/5859800.

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The objective of the study is to provide guidance for automobile human-computer interface design through the research, practice, and evaluation of intelligent driving automobile human-computer interfaces. In this study, the methods of intelligent vehicle automatic cruise control function, theoretical models of the situation analysis, and a three-level information architecture are proposed and designed. During the study, interface space layout is combined with the interactive interface design. The results obtained on the basis of the proposed three levels of perception and prediction of situation awareness are combined with typical application scenarios. The information on AR-HUD and W-HUD in anterior cingulate cortex (or ACC) function is analyzed. The feasibility of the theory is verified through the design practice of information architecture design, key prototype, and typical effect diagram. The human-computer interaction interface based on situational awareness can effectively clarify the display content and process of information and improve the usability of the interface.

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Wang, Tai Hang, and Peng Jun Zheng. "Analysis of Usability of ECDIS Human-Machine Interface." Applied Mechanics and Materials 519-520 (February 2014): 1397–400. http://dx.doi.org/10.4028/www.scientific.net/amm.519-520.1397.

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Usability is a key indicator in the evaluation of Human-Machine Interface (HMI). ECDIS has a typical HMI for e-Navigation system. In order to improve the usability of ECDIS HMI, it is necessary to carry out usability evaluation. This paper investigated the time spent in executing typical navigation operations using two common designs, which are based on single document and dialog box. The accuracy of the theoretical prediction was verified against actual test results, and the efficiency of the two design schemes was compared. The research results can provide scientific guidance to improve the usability of ECDIS and design of HMI.

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Sreyas, S., Sreeja Kochuvila, S. Vignesh, and R. Pranav. "AIR TOUCH: Human Machine Interface Using Electromyography Signals." Journal of Physics: Conference Series 2251, no. 1 (April 1, 2022): 012001. http://dx.doi.org/10.1088/1742-6596/2251/1/012001.

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Abstract Novel interactions between futuristic devices and humans in the ever-expanding digital world is gaining momentum in the current era. In this paper, a system is proposed where electromyography (EMG) signals are used to control the cursor on a PC with the movement of the hand, making effortless interaction between user and the computer. The hand movements are detected using accelerometer and EMG signals acquired using electrodes are used to classify the hand gestures. Time domain features are extracted from the EMG signals and the gestures are classified using K-Nearest Neighbor (KNN) classifier. The operation to be performed on PC is determined from the gesture with help of a suitable interface. This system is implemented to perform the positioning of the cursor and two of the most common actions of a mouse, namely, single click and double click. The system showed an accuracy of 98% in classifying the gestures.

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Rohee, B., B. Riera, and V. Carre-Menetrier. "MANUFACTURING HUMAN MACHINE INTERFACE DESIGN USING PLANT MODELS." IFAC Proceedings Volumes 40, no. 16 (2007): 212–17. http://dx.doi.org/10.3182/20070904-3-kr-2922.00037.

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TATSUGUCHI, Koki, and Noboru MOMOSE. "Study on Human-machine Interface of Omnidirectional Vehicle." Proceedings of Conference of Hokuriku-Shinetsu Branch 2021.58 (2021): B033. http://dx.doi.org/10.1299/jsmehs.2021.58.b033.

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Yamada, Hironao. "Human Interface of a Tele-operated Construction Machine." Journal of the Robotics Society of Japan 33, no. 6 (2015): 400–403. http://dx.doi.org/10.7210/jrsj.33.400.

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