Relevant bibliographies by topics / Mouse (Computer)

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers

Academic literature on the topic 'Mouse (Computer)'

Author: Grafiati
Published: 4 June 2021
Last updated: 11 February 2022

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Journal articles on the topic "Mouse (Computer)"

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Pekelney, Richard, and Robin Chu. "Design Criteria of an Ergonomic Mouse Computer Input Device." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 39, no. 5 (October 1995): 369–73. http://dx.doi.org/10.1177/154193129503900516.

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The rapid growth of graphical user interfaces on personal computers has led to the mouse input device playing a prominent and central role in the control of computer applications. As their use increases, mouse design and comfort issues are becoming more and more critical. This report describes the ergonomic design criteria and resulting product attributes of a commercially successful mouse computer input device. Although well-founded ergonomic principles were incorporated into the design criteria, very little ergonomic research has been published on the design of mice. There is a need for additional research on the ergonomics computer mouse input devices.
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Robinson Calvin, H. A. "5570112 Ergonomic computer mouse." Applied Ergonomics 28, no. 3 (June 1997): 231. http://dx.doi.org/10.1016/s0003-6870(97)83418-7.

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Jack, Lo. "5576733 Ergonomic computer mouse." Applied Ergonomics 28, no. 3 (June 1997): 232. http://dx.doi.org/10.1016/s0003-6870(97)83427-8.

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Aiyub, Feri Fadli, and Munawir Munawir. "Kontrol Mouse Menggunakan Webcam Berdasarkan Deteksi Warna." JTIM : Jurnal Teknologi Informasi dan Multimedia 1, no. 1 (May 15, 2019): 73–77. http://dx.doi.org/10.35746/jtim.v1i1.18.

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The interaction technology in general is inseparable from the rapid development of Human-Computer Interaction technology or Human and Computer Interaction. Human and computer mouse interactions are called Virtual Mouse. Virtual mouse is designed for users to be able to interact directly with computers without using input devices such as conventional mice but using their hands as driving objects or using other media such as colors. In this research, testing is done on how to track an object that moves in order to do the mouse by using an intermediary in the form of an image processing-based webcam video that is taken in real-time using object tracking in the form of three color variables arranged based on RGB composition using the optical flow method in detecting its movement. Based on research that has been carried out as a whole the color object used as a pointer controller or mouse with the optical flow method can be detected properly in every condition.
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Cour-Harbo, Anders La, and Jakob Stoustrup. "169 Infra Red 3D Computer Mouse." Journal of the Visualization Society of Japan 20, no. 1Supplement (2000): 413–16. http://dx.doi.org/10.3154/jvs.20.1supplement_413.

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Hughes, Erin E., and Peter W. Johnson. "Children computer mouse use and anthropometry." Work 41 (2012): 846–50. http://dx.doi.org/10.3233/wor-2012-0252-846.

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Karlqvist, Lena, Eva Bernmark, Lena Ekenvall, Mats Hagberg, Anita Isaksson, and Tommy Rostö. "Computer mouse and track-ball operation:." International Journal of Industrial Ergonomics 23, no. 3 (March 1999): 157–69. http://dx.doi.org/10.1016/s0169-8141(97)00031-0.

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Damann, Elizabeth A., and Karl H. E. Kroemer. "Wrist Posture during Computer Mouse Usage." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 39, no. 10 (October 1995): 625–29. http://dx.doi.org/10.1177/154193129503901018.

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In this experiment, we investigated the effects that mouse pad surface height and wrist support had on wrist posture. In a pointing task, 16 subjects moved a mouse-controlled cursor clockwise or counterclockwise around three fixed targets, which varied by size and distance depending on task condition. Wrist extension, flexion, radial deviation, and ulnar deviation data were collected via a wrist monitor attached to the right hand and forearm. The presence of a wrist support decreased wrist extension and radial deviation, and increased wrist flexion. Higher pad surface height resulted in increased flexion and ulnar deviation, and decreased extension and radial deviation. A comparison of the conditions which were at the same pad height, but differed due to the presence or absence of wrist support, revealed that wrist extension was reduced by the presence of a wrist support at all but the highest height.
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Crenshaw, A. G., and H. Johansson. "DISTURBED PROPRIOCEPTION FOLLOWING COMPUTER MOUSE USE." Medicine & Science in Sports & Exercise 34, no. 5 (May 2002): S206. http://dx.doi.org/10.1097/00005768-200205001-01164.

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Snijders, C. J., and P. C. Helder. "A new computer mouse called Horse." Europhysics News 35, no. 6 (November 2004): 208–9. http://dx.doi.org/10.1051/epn:2004610.

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Dissertations / Theses on the topic "Mouse (Computer)"

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Watiti, Tom Wanjala. "Vision-based virtual mouse system." To access this resource online via ProQuest Dissertations and Theses @ UTEP, 2009. http://0-proquest.umi.com.lib.utep.edu/login?COPT=REJTPTU0YmImSU5UPTAmVkVSPTI=&clientId=2515.

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Kim, Na-Hyun. "Introducing Deache mouse : An alternative computer mouse design for people with fine motor skill impairments." Thesis, Umeå universitet, Institutionen för informatik, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-160907.

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Hibbeln, Martin, Jeffrey L. Jenkins, Christoph Schneider, Joseph S. Valacich, and Markus Weinmann. "HOW IS YOUR USER FEELING? INFERRING EMOTION THROUGH HUMAN-COMPUTER INTERACTION DEVICES." SOC INFORM MANAGE-MIS RES CENT, 2017. http://hdl.handle.net/10150/625245.

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Emotion can influence important user behaviors, including purchasing decisions, technology use, and customer loyalty. The ability to easily assess users' emotion during live system use therefore has practical significance for the design and improvement of information systems. In this paper, we discuss using human-computer interaction input devices to infer emotion. Specifically, we utilize attentional control theory to explain how movement captured via a computer mouse (i.e., mouse cursor movements) can be a real-time indicator of negative emotion. We report three studies. In Study 1, an experiment with 65 participants from Amazon's Mechanical Turk, we randomly manipulated negative emotion and then monitored participants' mouse cursor movements as they completed a number-ordering task. We found that negative emotion increases the distance and reduces the speed of mouse cursor movements during the task. In Study 2, an experiment with 126 participants from a U.S. university, we randomly manipulated negative emotion and then monitored participants' mouse cursor movements while they interacted with a mock e-commerce site. We found that mouse cursor distance and speed can be used to infer the presence of negative emotion with an overall accuracy rate of 81.7 percent. In Study 3, an observational study with 80 participants from universities in Germany and Hong Kong, we monitored mouse cursor movements while participants interacted with an online product configurator. Participants reported their level of emotion after each step in the configuration process. We found that mouse cursor distance and speed can be used to infer the level of negative emotion with an out-of-sample R-2 of 0.17. The results enable researchers to assess negative emotional reactions during live system use, examine emotional reactions with more temporal precision, conduct multimethod emotion research, and create more unobtrusive affective and adaptive systems.
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Pickard, Stanley R. (Stanley Ray). "College Students' Preference of Computer Input Device: Keyboard versus Mouse." Thesis, University of North Texas, 1994. https://digital.library.unt.edu/ark:/67531/metadc278967/.

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In the last several years, there has been an interest in graphical user interfaces as compared with character user interfaces. The "mouse" is the device most closely associated with graphical user interfaces. Key strokes are more closely associated with character user interfaces. Given these associations, is there a preference for the keyboard or for the mouse as an input device? The determination of user preference was reduced to the determination of preference of key strokes or mouse clicks for selection of main menu items. The subjects, university students working with Microsoft Works by Microsoft Corporation, copyright 1987-1989, were learning how to use application software. While Microsoft Works was running, tracking software recorded every user key stroke and mouse click, together with data about these key strokes and mouse clicks. From the analysis of these data, common preference for the means of menu item selection was determined.
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Barker, David. "The human factors of computer input using a mouse device." Thesis, Aston University, 1993. http://publications.aston.ac.uk/10917/.

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This thesis investigates how people select items from a computer display using the mouse input device. The term computer mouse refers to a class of input devices which share certain features, but these may have different characteristics which influence the ways in which people use the device. Although task completion time is one of the most commonly used performance measures for input device evaluation, there is no consensus as to its definition. Furthermore most mouse studies fail to provide adequate assurances regarding its correct measurement. Therefore precise and accurate timing software were developed which permitted the recording of movement data which by means of automated analysis yielded the device movements made. Input system gain, an important task parameter, has been poorly defined and misconceptualized in most previous studies. The issue of gain has been clarified and investigated within this thesis. Movement characteristics varied between users and within users, even for the same task conditions. The variables of target size, movement amplitude, and experience exerted significant effects on performance. Subjects consistently undershot the target area. This may be a consequence of the particular task demands. Although task completion times indicated that mouse performance had stabilized after 132 trials the movement traces, even of very experienced users, indicated that there was still considerable room for improvement in performance, as indicated by the proportion of poorly made movements. The mouse input device was suitable for older novice device users, but they took longer to complete the experimental trials. Given the diversity and inconsistency of device movements, even for the same task conditions, caution is urged when interpreting averaged grouped data.
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Edelman, Nicholas (Nicholas A. ). "Automated phenotyping of mouse social behavior." Thesis, Massachusetts Institute of Technology, 2011. http://hdl.handle.net/1721.1/76810.

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Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2011.
This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.
Cataloged from student-submitted PDF version of thesis.
Includes bibliographical references (p. 66-68).
Inspired by the connections between social behavior and intelligence, I have developed a trainable system to phenotype mouse social behavior. This system is of immediate interest to researchers studying mouse models of social disorders such as depression or autism. Mice studies provide a controlled environment to begin exploring the questions of how to best quantify social behavior. For the purposes of evaluating this system and to encourage further research, I introduce a new video dataset annotated with five social behaviors: nose-to-nose sniffing, nose-to-head sniffing, nose-to-anogenital sniffing, crawl under / crawl over, and upright head contact. These four behaviors are of particular importance to researchers characterizing mouse social avoidance [9]. To effectively phenotype mouse social behavior, the system incorporates a novel mice tracker, and modules to represent and to classify social behavior. The mice tracker addresses the challenging computer vision problem of tracking two identical, highly deformable mice through complex occlusions. The tracker maintains an ellipse model of both mice and leverages motion cues and shape priors to maintain tracks during occlusions. Using these tracks, the classification system represents behavior with 14 spatial features characterizing relative position, relative motion, and shape. A regularized least squares (RLS) classifier, trained over representative instances of each behavior, classifies the behavior present in each frame. This system demonstrates the enormous potential for building automated systems to quantitatively study mouse social behavior.
by Nicholas Edelman.
M.Eng.
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Surdilovic, Tihomir. "Fuzzy Mouse Cursor Control System for Computer Users with Spinal Cord Injuries." Digital Archive @ GSU, 2006. http://digitalarchive.gsu.edu/cs_theses/49.

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People with severe motor-impairments due to Spinal Cord Injury (SCI) or Spinal Cord Dysfunction (SCD), often experience difficulty with accurate and efficient control of pointing devices (Keates et al., 02). Usually this leads to their limited integration to society as well as limited unassisted control over the environment. The questions “How can someone with severe motor-impairments perform mouse pointer control as accurately and efficiently as an able-bodied person?” and “How can these interactions be advanced through use of Computational Intelligence (CI)?” are the driving forces behind the research described in this paper. Through this research, a novel fuzzy mouse cursor control system (FMCCS) is developed. The goal of this system is to simplify and improve efficiency of cursor control and its interactions on the computer screen by applying fuzzy logic in its decision-making to make disabled Internet users use the networked computer conveniently and easily. The FMCCS core consists of several fuzzy control functions, which define different user interactions with the system. The development of novel cursor control system is based on utilization of motor functions that are still available to most complete paraplegics, having capability of limited vision and breathing control. One of the biggest obstacles of developing human computer interfaces for disabled people focusing primarily on eyesight and breath control is user’s limited strength, stamina, and reaction time. Within the FMCCS developed in this research, these limitations are minimized through the use of a novel pneumatic input device and intelligent control algorithms for soft data analysis, fuzzy logic and user feedback assistance during operation. The new system is developed using a reliable and cheap sensory system and available computing techniques. Initial experiments with healthy and SCI subjects have clearly demonstrated benefits and promising performance of the new system: the FMCCS is accessible for people with severe SCI; it is adaptable to user specific capabilities and wishes; it is easy to learn and operate; point-to-point movement is responsive, precise and fast. The integrated sophisticated interaction features, good movement control without strain and clinical risks, as well the fact that quadriplegics, whose breathing is assisted by a respirator machine, still possess enough control to use the new system with ease, provide a promising framework for future FMCCS applications. The most motivating leverage for further FMCCS development is however, the positive feedback from persons who tested the first system prototype.
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Li, Taibo M. Eng Massachusetts Institute of Technology. "Single-cell transcriptomics of the mouse thalamic reticular nucleus." Thesis, Massachusetts Institute of Technology, 2017. http://hdl.handle.net/1721.1/113178.

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Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2017
Cataloged from PDF version of thesis.
Includes bibliographical references (pages 44-49).
The thalamic reticular nucleus (TRN) is strategically located at the interface between the cortex and the thalamus, and plays a key role in regulating thalamo-cortical interactions. Current understanding of TRN neurobiology has been limited due to the lack of a comprehensive survey of TRN heterogeneity. In this thesis, I developed an integrative computational framework to analyze the single-nucleus RNA sequencing data of mouse TRN in a data-driven manner. By combining transcriptomic, genetic, and functional proteomic data, I discovered novel insights into the molecular mechanisms through which TRN regulates sensory gating, and suggested targeted follow-up experiments to validate these findings.
by Taibo Li.
M. Eng.
M.Eng. Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science
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Oefinger, Matthew Blake 1976. "Monitoring transient repolarization segment morphology deviations in mouse ECG." Thesis, Massachusetts Institute of Technology, 2006. http://hdl.handle.net/1721.1/38304.

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Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2006.
Includes bibliographical references (p. 273-276).
This thesis details the design, implementation and validation of a system that facilitates partial automation for detection of anomalous repolarization segment morphologies in the ECG of mice. The technology consists of hardware for signal conditioning of the electrocardiogram (ECG); software for the collection, archiving and real-time & retrospective Internet visualization of data; and an algorithm for morphology analysis of the repolarization segment in murine ECG. The system was validated using genetically engineered mouse subjects with elevated VLDL, analogous to LDL or "bad cholesterol" in humans, and elevated but modified HDL, or "good cholesterol." These subjects, so-called "double-knockout" or dKO mice, exhibit repolarization segment morphologies that are manifestations of severe cardiovascular pathophysiology. This thesis describes the technology in detail and its application to elucidating long-term trends in repolarization morphology deviations in dKO mice. The paper concludes with future work that will utilize the technology and potential clinical applications.
by Matthew Blake Oefinger
Ph.D.
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Ghaffari, Roozbeh 1979. "Electrically evoked motions of the isolated mouse tectorial membrane." Thesis, Massachusetts Institute of Technology, 2003. http://hdl.handle.net/1721.1/28468.

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Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2003.
Includes bibliographical references (leaves 41-42).
We discovered motion during application of AC voltage (0.8 V peak amplitude, f=1 kHz) on the surface of the isolated mouse tectorial membrane (TM). The TM's motion response, which contained an average peak amplitude of 4 nm (in 5 TM preparations) was measured using a novel atomic force sensing (AFS) technique (Rousso et al, 1997). A 2-D lateral mapping of motion at several points on the TM surface shows that the TM expands near the negative electrode and contracts near the positive electrode with a stationary pivot point between the two electrodes. Lowering the pH in the bath surrounding the TM from 7.3 to 4.07 decreased the maximum amplitude of displacement from 4 nm to approximately 2.5 nm while lowering the bath pH from 4.07 to 3.96 caused the TM to undergo a [pi] phase shift in its motion response. Based on this data, the TM has an isoelectric point and pKa near pH 4.011. This supports the model that the TM motion response is altered by the state of ionization of charge groups in the TM, which varies with bath pH.
by Roozbeh Ghaffari.
M.Eng.
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Books on the topic "Mouse (Computer)"

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Computer mouse. North Mankato, Minnesota: Rourke Educational Media, 2015.

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Peet, Ellison, ed. Kim and the computer mouse. Oxford: Heinemann, 1997.

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Building a better mouse trap: A programmer's guide to the mouse. Berkeley, Calif: Osborne McGraw-Hill, 1992.

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Zinko, Ursula. From guinea pig to computer mouse: Alternative methods for a humane education. [Leicester?]: EuroNICHE, 1997.

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Mihnea, Chiuia, and International Network for Humane Education., eds. From guinea pig to computer mouse: Alternative methods for a progressive, humane education. 2nd ed. Leicester, England: InterNICHE, 2003.

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Braden, Richard P. Mouse, timer, and keyboard inputs: For users of Microsoft Visual C++ development system for Windows. Plano, TX: Wordware Pub., 1995.

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Klee, Albert. MOUSE (Modular Oriented Uncertainty SystEm): A computerized uncertainty analysis system. Cincinnati, OH: U.S. Environmental Protection Agency, Risk Reduction Engineering Laboratory, 1990.

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Silva, Walter. Doctor Walt's basic CADKey: Your mouse is your friend ; an introductory workbook for drafting board veterans and first-time CADKey users. West Orange, NJ: Conceptual Product Development, 1997.

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Breuer, Markus. The Amiga handbook: Getting to know and using the newest computer technology: workbench, user software, CLI, graphics and sound features, operating the mouse. Denver (Colorado): Progressive Publishing, 1986.

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Klee, Albert. AutoMOUSE: An improvement to the MOUSE Computerized Uncertainty Analysis System Operational Manual. Cincinnati, OH: U.S. Environmental Protection Agency, Risk Reduction Engineering Laboratory, 1992.

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Book chapters on the topic "Mouse (Computer)"

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Weik, Martin H. "mouse." In Computer Science and Communications Dictionary, 1048. Boston, MA: Springer US, 2000. http://dx.doi.org/10.1007/1-4020-0613-6_11836.

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Singh, Vivek Kumar, Abhijeet Sarkar, Vidit Vijay Chaturvedi, Md Sayeed Ansari, and Tushar S. Narsimpur. "Glove Mouse: A Gesture Controlled Wireless Computer Mouse." In Lecture Notes in Electrical Engineering, 483–94. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-0336-5_40.

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Kuribara, Takuro, Buntarou Shizuki, and Jiro Tanaka. "Mouse Augmentation Using a Malleable Mouse Pad." In Human-Computer Interaction: Interaction Technologies, 217–26. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-20916-6_21.

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Kocejko, T., A. Bujnowski, and J. Wtorek. "Eye-Mouse for Disabled." In Human-Computer Systems Interaction, 109–22. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-03202-8_9.

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Park, Jiyoung, and Juneho Yi. "Efficient Fingertip Tracking and Mouse Pointer Control for a Human Mouse." In Lecture Notes in Computer Science, 88–97. Berlin, Heidelberg: Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/3-540-36592-3_9.

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Huang, Ming-Chun, Wenyao Xu, Jason J. Liu, Yi Su, Lei He, and Majid Sarrafzadeh. "Inconspicuous Personal Computer Protection with Touch-Mouse." In Lecture Notes in Computer Science, 29–38. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-39345-7_4.

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Nomura, Yoshihiko, and Satoshi Oike. "Active-Wheel Mouse for Human-Computer Interface." In Lecture Notes in Computer Science, 54–61. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-40244-4_6.

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Lourenço, Miguel L., Rui A. Pitarma, and Denis A. Coelho. "Development of a New Ergonomic Computer Mouse." In Advances in Intelligent Systems and Computing, 457–68. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-60366-7_43.

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Quevedo, Antônio A. F., and Thiago Bruschi Martins. "Adapted Computer Mouse for Cerebral Palsy Users." In XXVI Brazilian Congress on Biomedical Engineering, 603–7. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-2119-1_93.

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Magee, John, Torsten Felzer, and I. Scott MacKenzie. "Camera Mouse + ClickerAID: Dwell vs. Single-Muscle Click Actuation in Mouse-Replacement Interfaces." In Lecture Notes in Computer Science, 74–84. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-20678-3_8.

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Conference papers on the topic "Mouse (Computer)"

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Gang Li, Yuanyuan Jiang, Ying Song, and S. C. Y. Lu. "Inspiring Computer Mouse." In 2005 IEEE Engineering in Medicine and Biology 27th Annual Conference. IEEE, 2005. http://dx.doi.org/10.1109/iembs.2005.1617301.

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Erdem, Aykut, Erkut Erdem, Yasemin Yardimci, Volkan Atalay, and A. Enis Cetin. "Computer vision based mouse." In Proceedings of ICASSP '02. IEEE, 2002. http://dx.doi.org/10.1109/icassp.2002.5745637.

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Erdem, Erdem, Yardimci, Atalay, and Cetin. "Computer vision based mouse." In IEEE International Conference on Acoustics Speech and Signal Processing ICASSP-02. IEEE, 2002. http://dx.doi.org/10.1109/icassp.2002.1004898.

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Fu, Yujun, Hong Va Leong, Grace Ngai, Michael Xuelin Huang, and Stephen C. F. Chan. "Physiological Mouse: Towards an Emotion-Aware Mouse." In 2014 IEEE 38th International Computer Software and Applications Conference Workshops (COMPSACW). IEEE, 2014. http://dx.doi.org/10.1109/compsacw.2014.46.

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de Lucena, Samuel E., and Philip Conzelmann. "Computer USB-Mouse Emulation Using EOG." In 2019 4th International Symposium on Instrumentation Systems, Circuits and Transducers (INSCIT). IEEE, 2019. http://dx.doi.org/10.1109/inscit.2019.8868754.

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Fouché, RC. "Head mouse." In the South African Institute of Computer Scientists and Information Technologists. New York, New York, USA: ACM Press, 2017. http://dx.doi.org/10.1145/3129416.3129442.

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Berlia, Rishabh, and Pallavi Santosh. "Mouse Brace: A convenient computer mouse using accelerometer, flex sensors and microcontroller." In 2014 International Conference on Contemporary Computing and Informatics (IC3I). IEEE, 2014. http://dx.doi.org/10.1109/ic3i.2014.7019684.

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Людвиченко, Виталий, Vitaliy Lyudvichenko, Дмитрий Ватолин, and Dmitriy Vatolin. "Predicting Video Saliency Using Crowdsourced Mouse-Tracking Data." In 29th International Conference on Computer Graphics, Image Processing and Computer Vision, Visualization Systems and the Virtual Environment GraphiCon'2019. Bryansk State Technical University, 2019. http://dx.doi.org/10.30987/graphicon-2019-2-127-130.

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This paper presents a new way of getting high-quality saliency maps for video, using a cheaper alternative to eye-tracking data. We designed a mouse-contingent video viewing system which simulates the viewers’ peripheral vision based on the position of the mouse cursor. The system enables the use of mouse-tracking data recorded from an ordinary computer mouse as an alternative to real gaze fixations recorded by a more expensive eye-tracker. We developed a crowdsourcing system that enables the collection of such mouse-tracking data at large scale. Using the collected mouse-tracking data we showed that it can serve as an approximation of eye-tracking data. Moreover, trying to increase the efficiency of collected mouse-tracking data we proposed a novel deep neural network algorithm that improves the quality of mouse-tracking saliency maps.
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Bell, Kyle. "The Mouse That Soared." In ACM SIGGRAPH 2010 Computer Animation Fesitval. New York, New York, USA: ACM Press, 2010. http://dx.doi.org/10.1145/1836623.1836674.

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Fu, Yun, and Thomas S. Huang. "hMouse: Head Tracking Driven Virtual Computer Mouse." In 2007 IEEE Workshop on Applications of Computer Vision. IEEE, 2007. http://dx.doi.org/10.1109/wacv.2007.29.

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