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Journal articles on the topic 'Mouse (Computer)'

Author: Grafiati

Published: 4 June 2021

Last updated: 11 February 2022

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1

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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2

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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3

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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4

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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5

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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6

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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7

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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8

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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10

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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11

Davie, Charles, Haider Katifi, Alan Ridley, and Michael Swash. ""Mouse"-trap or personal computer palsy." Lancet 338, no. 8770 (September 1991): 832. http://dx.doi.org/10.1016/0140-6736(91)90730-d.

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12

Gai, Zhi Wu, Hong Lin, and Teng Zeng. "Design and Analysis of Anti-Radiation Computer Mouse and Keyboard." Applied Mechanics and Materials 333-335 (July 2013): 2093–96. http://dx.doi.org/10.4028/www.scientific.net/amm.333-335.2093.

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In order to solve the electromagnetic radiation problem of traditional computer mouse and computer keyboard, we disclose sets of new anti-radiation computer mouse and computer keyboard. These anti-radiation computer mouse and keyboard are specially designed in frame and enclosure. The mouse shell is divided into front and rear part, or segregated two enclosures by shielding board in mouse shell. The circuit of mouse is set in front part of the mouse. Left and right push-button and manual rollers are set in rear part of mouse. The control circuit of keyboard is detached from it and set in a card that can be plug in expansion slot of computer. Circuit is the source of electromagnetic radiation. Thus, the sources of electromagnetic radiation are far from your hand during your operation. Furthermore, by taking shielding and absorbing precautions, these new anti-radiation mouse and keyboard have hardly any radiation at all, no secret information will leak out, and will not do harm to your health. They have all the advantages of traditional computer mouse and keyboard, and much more than this, they are anti-radiation. These anti-radiation computer mouse and keyboard are green products, have no radiation to computer users.

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13

Kluth, Karsten, and Erwin Keller. "Rollerbar mouse as an ergonomic alternative to a standard computer mouse." Occupational Ergonomics 12, no. 1,2 (July 6, 2015): 33–48. http://dx.doi.org/10.3233/oer-150219.

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14

Chen, Yung-Sheng, and Kun-Li Lin. "CUBot: Computer Vision on the Eye–Hand Coordination with a Computer-Using Robot and its Implementation." International Journal of Pattern Recognition and Artificial Intelligence 32, no. 04 (December 13, 2017): 1855005. http://dx.doi.org/10.1142/s0218001418550054.

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Eye–hand coordination (EHC) is of great importance in the research areas of human visual perception, computer vision and robotic vision. A computer-using robot (CUBot) is designed for investigating the EHC mechanism and its implementation is presented in this paper. The CUBot possesses the ability of operating a computer with a mouse like a human being. Based on the three phases of people using computer with a mouse, i.e. watching the screen, recognizing the graphical objects on the screen as well as controlling the mouse to let the cursor approach to the target, our CUBot can also perceive information merely through its vision and control the mouse by its robotic hand without any physical data communication connected to the operated computer. The CUBot is mainly composed of “Mouse-Hand” for operating the mouse, “mind” for realizing the object perception, cursor tracking, and EHC. Two experiments used for testing the ability of our EHC algorithm and the perception of CUBot confirm the feasibility of the proposed approach.

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15

Putra, Andika Bagus Nur Rahma, M. Ihwanudin, Erwin Komara Mindarta, Poppy Puspitasari, and M. Mirza Abdillah Pratama. "Occupational Health And Safety (OHS) management for employees on the risk of diseases due to the intensity of computer use in the workplace/industry." MATEC Web of Conferences 204 (2018): 01016. http://dx.doi.org/10.1051/matecconf/201820401016.

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The research objectives of this study are: (1) urgent problems faced by employees when using computers; (2) computer components at risk of causing physical illness; and (3) mapping of disease experienced by OHS related employees on the computer. The subjects of this study are employees in three places of work / industry how many in Malang that work with computers with a duration of at least nine hours per day. The results of this study include: 1) the urgent problems experienced by the employees of the computer user include comfort (60%), position / feet distance (60%), monitor position at the work table (55%), mouse position (55%), (70%), rest breaks (75%), sitting position (70%), work desk condition (15%), room condition (25%), and rest break time (35%); 2) components on the computer that are at risk of causing computer-related OHS diseases that are computer CPU box (5%), computer monitor (25%), computer keyboard (10%), computer mouse (20%), computer cables (10%), and computer desk-chairs (30%); and 3) high-risk diseases suffered by employees of computer users include sicca-syndrome (55%), astenopia (70%), headache-comp (85%), Repetitive Strain Injuries (RSI) syndrom (55%), and Carpal tunnel syndrome (30%).

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16

Wu, Yingnian, Guojun Yang, and Lin Zhang. "Mouse simulation in human–machine interface using kinect and 3 gear systems." International Journal of Modeling, Simulation, and Scientific Computing 05, no. 04 (September 29, 2014): 1450015. http://dx.doi.org/10.1142/s1793962314500159.

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We never stop finding better ways to communicate with machines. To interact with computers we tried several ways, from punched tape and tape reader to QWERTY keyboards and command lines, from graphic user interface and mouse to multi-touch screens. The way we communicate with computers or devices are getting more direct and easier. In this paper, we give gesture mouse simulation in human–computer interface based on 3 Gear Systems using two Kinect sensors. The Kinect sensor is the perfect device to achieve dynamic gesture tracking and pose recognition. We hope the 3 Gear Systems can work as a mouse, to be more specific, use gestures to do click, double click and scroll. We use Coordinate Converting Matrix and Kalman Filter to reduce the shaking caused by errors and makes the interface create a better user experience. Finally the future of human–computer interface is discussed.

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17

Aneela, Banda. "Implementing a Real Time Virtual Mouse System and Fingertip Detection based on Artificial Intelligence." International Journal for Research in Applied Science and Engineering Technology 9, no. VI (June 25, 2021): 2265–70. http://dx.doi.org/10.22214/ijraset.2021.35485.

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Artificial intelligence refers to the simulation of human intelligence in computers that have been trained to think and act like humans. It is a broad branch of computer science devoted to the creation of intelligent machines capable of doing activities that would normally need human intelligence. Despite the fact that Artificial intelligence is a heterogeneous science with several techniques, developments in machine learning and deep learning are driving a paradigm shift in practically every business. Human-computer interaction requires the identification of hand gestures utilizing vision-based technology. The keyboard and mouse have grown more significant in human-computer interaction in recent decades. This involves the progression of touch technology over buttons, as well as a variety of other gesture control modalities. A normal camera may be used to construct a hand tracking-based virtual mouse application. We combine camera and computer vision technologies, such as finger- tip identification and gesture recognition, into the proposed system to handle mouse operations (volume control, right click, left click), and show how it can execute all that existing mouse devices can.

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18

McFarland, Dennis J., Dean J. Krusienski, William A. Sarnacki, and Jonathan R. Wolpaw. "Emulation of computer mouse control with a noninvasive brain–computer interface." Journal of Neural Engineering 5, no. 2 (March 5, 2008): 101–10. http://dx.doi.org/10.1088/1741-2560/5/2/001.

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19

Berezutsky, V. I. "Computer mouse, keyboard and carpal tunnel syndrome." Medicni perspektivi (Medical perspectives) 23, no. 3(part1) (October 26, 2018): 23–33. http://dx.doi.org/10.26641/2307-0404.2018.3(part1).142330.

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20

Faraji, Ali, and Morteza Rohani Farahmand. "An Ergonomic Computer Mouse for Professional Designers." Applied Mechanics and Materials 440 (October 2013): 194–98. http://dx.doi.org/10.4028/www.scientific.net/amm.440.194.

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Some criteria for designing an ergonomic mouse for professional computer users via scenario-based design are presented in order to decrease Work-Related Musculoskeletal Disorders (WMSDs) especially in upper limbs. Library research studies performed based on 5W-H approach extremely tend to medical, ergonomics and functional affairs. Since this study was user-centered design (interaction design), practical research studies performed for better comprehension of users needs by making use of questionnaire, interview and observation procedures in three field of design: ergonomics, functional and aesthetics. First, target group divided into three categories by using AHP method: A-users who work professionally with design, graphic and animation softwares; B-users who work professionally or unprofessionally with other softwares; and C-users who work professionally with engineering softwares. Then, 56 questionnaires are presented to this group and also they interviewed and 15 ones observed during interaction with computer mouse. Finally, 23 design criteria achieved and final idea designed based on these criteria. The most important notes that considered in final design are neutral position of wrist, ulnar deviation prevention and preventing from static and powerful grips.

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21

Ray, D., P. B. Pitts, C. A. Hogarth, L. S. Whitmore, M. D. Griswold, and P. Ye. "Computer simulations of the mouse spermatogenic cycle." Biology Open 4, no. 1 (December 12, 2014): 1–12. http://dx.doi.org/10.1242/bio.20149068.

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22

Rodrigue, Gendusa Tulonge, and Eung-Joo Lee. "Finger Detection Algorithm For Computer Mouse Control." Journal of Korea Multimedia Society 20, no. 4 (April 30, 2017): 671–85. http://dx.doi.org/10.9717/kmms.2017.20.4.671.

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23

Lee, David L., Hugh McLoone, and Jack T. Dennerlein. "Observed finger behaviour during computer mouse use." Applied Ergonomics 39, no. 1 (January 2008): 107–13. http://dx.doi.org/10.1016/j.apergo.2006.12.008.

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24

RUDNIEVA, Iryna, and Lina MAIEVSKA. "Leave the computer mouse – grab the book." Humanities science current issues 2, no. 39 (2021): 307–12. http://dx.doi.org/10.24919/2308-4863/39-2-49.

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25

Straker, Leon, Clare Pollock, Anthony Frosh, Arne Aarås, and Marvin Dainoff. "An Ergonomic Field Comparison of a Traditional Computer Mouse and a Vertical Computer Mouse in Uninjured Office Workers." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 44, no. 33 (July 2000): 6–356. http://dx.doi.org/10.1177/154193120004403376.

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26

Viljoen, S., T. Hanekom, and P. J. Cilliers. "Eye-blink controlled computer mouse: design and evaluation." Suid-Afrikaanse Tydskrif vir Natuurwetenskap en Tegnologie 23, no. 1/2 (September 23, 2004): 7–12. http://dx.doi.org/10.4102/satnt.v23i1/2.187.

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Physically disabled people who do not have the use of their limbs have difficulty operating a computer, since they cannot use a mouse. In this article the design, implementation and evaluation of an eye-blink controlled computer mouse to be used by handicapped people are described. Detection of voluntary blinks is established by the reflection of infrared light from the skin on the side of the eye, while involuntary blinks are ignored. This enables people who do not have the use of their limbs to operate a computer. All the functions of a PS2 mouse are emulated.

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27

Sanchez, Cristina, Vanina Costa, Rodrigo Garcia-Carmona, Eloy Urendes, Javier Tejedor, and Rafael Raya. "Evaluation of Child–Computer Interaction Using Fitts’ Law: A Comparison between a Standard Computer Mouse and a Head Mouse." Sensors 21, no. 11 (May 31, 2021): 3826. http://dx.doi.org/10.3390/s21113826.

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This study evaluates and compares the suitability for child–computer interaction (CCI, the branch within human–computer interaction focused on interactive computer systems for children) of two devices: a standard computer mouse and the ENLAZA interface, a head mouse that measures the user’s head posture using an inertial sensor. A multidirectional pointing task was used to assess the motor performance and the users’ ability to learn such a task. The evaluation was based on the interpretation of the metrics derived from Fitts’ law. Ten children aged between 6 and 8 participated in this study. Participants performed a series of pre- and post-training tests for both input devices. After the experiments, data were analyzed and statistically compared. The results show that Fitts’ law can be used to detect changes in the learning process and assess the level of psychomotor development (by comparing the performance of adults and children). In addition, meaningful differences between the fine motor control (hand) and the gross motor control (head) were found by comparing the results of the interaction using the two devices. These findings suggest that Fitts’ law metrics offer a reliable and objective way of measuring the progress of physical training or therapy.

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Brenner, Eli, Myriam L. de Graaf, Marielle J. Stam, Margreet Schonwetter, Jeroen B. J. Smeets, and Robert J. van Beers. "When Is Moving a Cursor With a Computer Mouse Intuitive?" Perception 49, no. 4 (April 2020): 484–87. http://dx.doi.org/10.1177/0301006620915152.

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People have a good intuition of how to move a computer mouse to place a cursor at a desired position on a screen. This is surprising because the hand and the mouse are at different locations and they generally move in different directions and over different distances. But using a computer mouse is not always intuitive: try positioning a cursor after turning the mouse by 90° in your hand. To examine when using a computer mouse is intuitive, we asked participants to move a cursor to targets on a screen by moving a mouse along a surface. We varied the orientation of this surface in space and that of the mouse in the hand. Participants performed best when the mapping between hand and cursor motion was close to what we are accustomed to, either in space or relative to the forearm.

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29

Simpson, Tyler, Michel Gauthier, and Arthur Prochazka. "Evaluation of Tooth-Click Triggering and Speech Recognition in Assistive Technology for Computer Access." Neurorehabilitation and Neural Repair 24, no. 2 (August 13, 2009): 188–94. http://dx.doi.org/10.1177/1545968309341647.

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Background. Computer access can play an important role in employment and leisure activities following spinal cord injury. The authors’ prior work has shown that a tooth-click detecting device, when paired with an optical head mouse, may be used by people with tetraplegia for controlling cursor movement and mouse button clicks. Objective. To compare the efficacy of tooth clicks to speech recognition and that of an optical head mouse to a gyrometer head mouse for cursor and mouse button control of a computer. Methods. Six able-bodied and 3 tetraplegic subjects used the devices listed above to produce cursor movements and mouse clicks in response to a series of prompts displayed on a computer. The time taken to move to and click on each target was recorded. Results. The use of tooth clicks in combination with either an optical head mouse or a gyrometer head mouse can provide hands-free cursor movement and mouse button control at a speed of up to 22% of that of a standard mouse. Tooth clicks were significantly faster at generating mouse button clicks than speech recognition when paired with either type of head mouse device. Conclusions. Tooth-click detection performed better than speech recognition when paired with both the optical head mouse and the gyrometer head mouse. Such a system may improve computer access for people with tetraplegia.

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30

Teixido, Merce, Tomás Palleja, Marcel Tresanchez, Davinia Font, Javier Moreno, Alicia Fernández, Jordi Palacín, and Carlos Rebate. "Optimization of the virtual mouse HeadMouse to foster its classroom use by children with physical disabilities." ADCAIJ: Advances in Distributed Computing and Artificial Intelligence Journal 2, no. 4 (December 12, 2013): 01–08. http://dx.doi.org/10.14201/adcaij20131718.

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This paper presents the optimization of a virtual mouse called HeadMouse in order to foster its classroom use by children with physical disabilities. HeadMouse is an absolute virtual mouse that converts head movements in cursor displacement and facial gestures in click actions. The virtual mouse combines different image processing algorithms: face detection, pattern matching and optical flow in order to emulate the behaviour of a conventional computer mouse. The original implementation of HeadMouse requires large computational power and this paper proposes specific optimizations in order to enable its use by children with disabilities in standard low cost classroom computers.

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31

Shih, Ching Tien, and Ching Hsiang Shih. "An Adjustable Integrated Pointing Device Driver to Help People with Disabilities Improve their Computer Pointing Efficiency." Applied Mechanics and Materials 563 (May 2014): 407–10. http://dx.doi.org/10.4028/www.scientific.net/amm.563.407.

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In this paper we propose a novel Adjustable Integrating Pointing device Driver (AIPDD) using software technology to redesign mouse driver to integrate the functions of commercial pointing devices to help them to effectively utilize commercial pointing devices to operate computers. In contrast with the latest studies, the software-based AIPDD has the following benefits. (a) It does not require additional hardware cost and circuit preservation. (b) It supports all commercial pointing devices with standard interfaces of a computer, including PS/2, USB and wireless interfaces. (c) It can integrate unlimited devices simultaneously. (d) It is adjustable in real time. In summary, the AIPDD has the benefits of flexibility, low cost, high efficiency and high device compatibility. Keywords: Disabled, Computer pointing device, Mouse Integrate pointing device driver

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32

Lee, David L., Jack T. Dennerlein, and Nancy A. Baker. "Inter-Rater Reliability of the Mouse-Personal Computer Style Instrument (M-PeCS)." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 53, no. 14 (October 2009): 917–21. http://dx.doi.org/10.1177/154193120905301413.

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The purpose of this study was to test the inter-rater reliability of an observational instrument, the Mouse-Personal Computer Style instrument (M-PeCS), which assesses the stereotypical postures and movements of the upper body and upper extremity associated with computer mouse use. Two trained raters independently rated the video clips of 10 computer users completing three mouse tasks (pointing, steering, and dragging) for a total of 30 video clips to determine the inter-rater reliability. All but two items on the M-PeCS had good to excellent reliability (ICC=0.75 to 1.00). These results suggest that most items on the M-PeCS can be used to reliably document computer mouse use style between trained raters. Potential applications of this study include identifying and quantifying the exposure to postural risk factors that may contribute to hand and forearm musculoskeletal pain associated with intensive computer mouse use.

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33

Grätzel, C., T. Fong, S. Grange, and C. Baur. "A non-contact mouse for surgeon-computer interaction." Technology and Health Care 12, no. 3 (August 18, 2004): 245–57. http://dx.doi.org/10.3233/thc-2004-12304.

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34

Li Weixian, 李伟仙, 周富强 Zhou Fuqiang, 张鲁闽 Zhang Luming, and 杨晓科 Yang Xiaoke. "Calibration Approach to Single-Camera Virtual Computer Mouse." Acta Optica Sinica 29, no. 10 (2009): 2832–36. http://dx.doi.org/10.3788/aos20092910.2832.

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35

Mun, Goo-Hyun, and Soo-Hyang Lee. "Aseptic Mouse Handling for Efficient Surgeon-Computer Interaction." Annals of Plastic Surgery 57, no. 2 (August 2006): 238–39. http://dx.doi.org/10.1097/01.sap.0000228308.52481.4b.

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36

Zaron, Edward D. "Laser Doppler velocimetry using a modified computer mouse." American Journal of Physics 84, no. 10 (October 2016): 810–13. http://dx.doi.org/10.1119/1.4960466.

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37

Walker, Neff, Jeff Millians, and Aileen Worden. "Mouse Accelerations and Performance of Older Computer Users." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 40, no. 3 (October 1996): 151–54. http://dx.doi.org/10.1177/154193129604000310.

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In general, as people age, their movement control performance gets worse. Older adults take longer than younger adults to make similar movements. In this study we compared older and younger experienced computer users on their ability to use a mouse to position a cursor. The distance of the movements and the size of the targets were varied to represent a broad range of cursor control tasks that would be used on a computer. We also investigated the effects that dynamic gain adjustment had on performance for both age groups. Our results showed that older adults are both slower and less accurate when using the mouse. There was evidence that the age-related difference in performance was greater when the target size was smaller. Some of the difference in age-related performance could be ameliorated by using a specific dynamic gain function. The results are used to discuss possible age-related computer interface design guidelines

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38

., Mahammad Rafi. "CONTROL MOUSE AND COMPUTER SYSTEM USING VOICE COMMANDS." International Journal of Research in Engineering and Technology 05, no. 03 (March 25, 2016): 425–28. http://dx.doi.org/10.15623/ijret.2016.0503077.

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39

Vermeer, Maarten H., and Derk P. Bruynzeel. "Mouse fingers, a new computer-related skin disorder." Journal of the American Academy of Dermatology 45, no. 3 (September 2001): 477. http://dx.doi.org/10.1067/mjd.2001.114567.

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40

Baldock, Richard, Jonathan Bard, Matt Kaufman, and Duncan Davidson. "What's New? A real mouse for your computer." BioEssays 14, no. 7 (July 1992): 501–2. http://dx.doi.org/10.1002/bies.950140713.

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41

Smeets, Jeroen, and Eli Brenner. "Fast corrections of movements with a computer mouse." Spatial Vision 16, no. 3 (2003): 365–76. http://dx.doi.org/10.1163/156856803322467581.

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42

Donker, Afke, and Pieter Reitsma. "Young children’s ability to use a computer mouse." Computers & Education 48, no. 4 (May 2007): 602–17. http://dx.doi.org/10.1016/j.compedu.2005.05.001.

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43

Shoemaker, Allen L., and Daniel M. Bolt. "Computer Measurement of the Autokinetic Effect." Perceptual and Motor Skills 75, no. 3 (December 1992): 771–77. http://dx.doi.org/10.2466/pms.1992.75.3.771.

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Previous methods for measurement of the autokinetic effect have several drawbacks, including limited accuracy and limited information. A new computer technique for measurement of the autokinetic effect is presented. A computer and computer mouse record tracing movements every tenth of a second, yielding a permanent record that can be analyzed further. The method is flexible, sensitive, and stable, as shown by test-retest correlations using 26 subjects. Correlations and medians for latency, total distance traveled, number of stops, straight line distance from origin to end-point, maximum speed, maximum acceleration, percent of time in motion, and speed and percent of motion in each of eight compass directions were computed. The results are similar to previously reported values.

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44

Lalitha, Anusha, and Nitish V. Thakor. "Design of an Accelerometer-Controlled Myoelectric Human Computer Interface." Advanced Materials Research 403-408 (November 2011): 3973–79. http://dx.doi.org/10.4028/www.scientific.net/amr.403-408.3973.

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The purpose of this study is to develop an alternate in-air input device which is intended to make interaction with computers easier for amputees. This paper proposes the design and utility of accelerometer controlled Myoelectric Human Computer Interface (HCI). This device can function as a PC mouse. The two dimensional position control of the mouse cursor is done by an accelerometer-based method. The left click and right click and other extra functions of this device are controlled by the Electromyographic (EMG) signals. Artificial Neural Networks (ANNs) are used to decode the intended movements during run-time. ANN is a pattern recognition based classification. An amputee can control it using phantom wrist gestures or finger movements.

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SU, MU-CHUN, KUO-CHUNG WANG, and GWO-DONG CHEN. "AN EYE TRACKING SYSTEM AND ITS APPLICATION IN AIDS FOR PEOPLE WITH SEVERE DISABILITIES." Biomedical Engineering: Applications, Basis and Communications 18, no. 06 (December 25, 2006): 319–27. http://dx.doi.org/10.4015/s1016237206000476.

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The object of this paper is to present a set of techniques integrated into a low-lost eye tracking system. Eye tracking systems have many potential applications such as learning emotion monitoring systems, drivers' fatigue detection systems, etc. In this paper, we report how we use an eye tracking system to implement an "eye mouse" to provide computer access for people with severe disabilities. The proposed eye mouse allows people with severe disabilities to use their eye movements to manipulate computers. It requires only one low-cost Web camera and a personal computer. A five-stage algorithm is developed to estimate the directions of eye movements and then use the direction information to manipulate the computer. Several experiments were conducted to test the performance of the eye tracking system.

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Chen, Hsin-Chuan, Chiou-Jye Huang, Wei-Ru Tsai, and Che-Lin Hsieh. "A Computer Mouse Using Blowing Sensors Intended for People with Disabilities." Sensors 19, no. 21 (October 25, 2019): 4638. http://dx.doi.org/10.3390/s19214638.

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The computer is an important medium that allows people to connect to the internet. However, people with disabilities are unable to use a computer mouse and thus cannot enjoy internet benefits. Nowadays, there are various types of assistive technologies for controlling a computer mouse, but they all have some operational inconveniences. In this paper, we propose an innovative blowing-controlled mouse assistive tool to replace the conventional hand-controlled mouse. Its main contribution is that it uses microphones to induce small signals through the principle of airflow vibration, and it then converts the received signal into the corresponding pulse width. The co-design of software programming enables various mouse functions to be implemented by the identification of the blowing pulse width of multiple microphones. The proposed tool is evaluated experimentally, and the experimental results show that the average identification rate of the proposed mouse is over 85%. Additionally, compared with the other mouse assistive tools, the proposed mouse has the benefits of low cost and humanized operation. Therefore, the proposed blowing control method can not only improve the life quality of people with disabilities but also overcome the disadvantages of existing assistive tools.

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Fakki, Altamash, Salahaldein Ahmed, Jongwon Park, and Chang-Soo Kim. "Versatile Optochemical Quantification with Optical Mouse." Journal of Sensors 2017 (2017): 1–7. http://dx.doi.org/10.1155/2017/1243754.

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There is an ever increasing need for simple, low-cost instruments for ubiquitous medical and environmental measurements in conjunction with networks and Internet-of-things. This work demonstrates that the optical mouse, one of the most common optoelectronic computer peripherals, can be used for chemical quantification. Particularly, we explore the feasibility of using the preassembled optical platform of mouse for oxygen and pH quantification. The image sensor and the light-emitting diode (LED) serve as photodetector and excitation/illumination light source, respectively, while the preinstalled microoptics (e.g., lens and waveguide) provide a fixed optical arrangement convenient for sample analysis. This novel, cost-effective approach demonstrates the potential application of optical mouse for bioanalytical devices in conjunction with commercial sensor strips or simple microfluidic elements. This is one viable option for seamless integration of bioanalytical capability into existing personal computers and associate networks without significant additional hardware.

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A, Mr Venkateshwar. "Hand Gesture Recognition System as Virtual Mouse for HCI." International Journal for Research in Applied Science and Engineering Technology 9, no. 8 (August 31, 2021): 1098–101. http://dx.doi.org/10.22214/ijraset.2021.37503.

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Abstract: The technique of interaction between human and computer is evolving since the invention of computer technology. The mouse is one of the invention in HCI (human computer interaction) technology. Though wireless are Bluetooth mouse technology is invented still, that technology is not completely device free. A Bluetooth mouse has the requirement of battery power it requires extra power supply. Presence of extra devices in a mouse increases the difficulty level of more hardware components. The proposed mouse system is outside this limitation. This paper proposes a virtual mouse system using colored hand glove based on HCI using computer vision and hand gestures. Gestures captured with a webcam on processed with color segmentation, detection technique and feature extraction. The user will be allowed to control some of the computer cursor functions with a colored glove on the hand. Primarily, a user can perform with their fingers, scrolling up or down using their hands in different gestures. This system captures frames using a webcam or built-in cam it is based on the camera quality. So the usage of colored glove mouse system eliminates device dependency in order to use a mouse. Keywords: HCI(human computer interaction), colored hand glove , gestures

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Banholzer, Nicolas, Stefan Feuerriegel, Elgar Fleisch, Georg Friedrich Bauer, and Tobias Kowatsch. "Computer Mouse Movements as an Indicator of Work Stress: Longitudinal Observational Field Study." Journal of Medical Internet Research 23, no. 4 (April 2, 2021): e27121. http://dx.doi.org/10.2196/27121.

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Background Work stress affects individual health and well-being. These negative effects could be mitigated through regular monitoring of employees’ stress. Such monitoring becomes even more important as the digital transformation of the economy implies profound changes in working conditions. Objective The goal of this study was to investigate the association between computer mouse movements and work stress in the field. Methods We hypothesized that stress is associated with a speed-accuracy trade-off in computer mouse movements. To test this hypothesis, we conducted a longitudinal field study at a large business organization, where computer mouse movements from regular work activities were monitored over 7 weeks; the study included 70 subjects and 1829 observations. A Bayesian regression model was used to estimate whether self-reported acute work stress was associated with a speed-accuracy trade-off in computer mouse movements. Results There was a negative association between stress and the two-way interaction term of mouse speed and accuracy (mean −0.32, 95% highest posterior density interval −0.58 to −0.08), which means that stress was associated with a speed-accuracy trade-off. The estimated association was not sensitive to different processing of the data and remained negative after controlling for the demographics, health, and personality traits of subjects. Conclusions Self-reported acute stress is associated with computer mouse movements, specifically in the form of a speed-accuracy trade-off. This finding suggests that the regular analysis of computer mouse movements could indicate work stress.

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HAYTHAM M. EL-HAFEZ, Ph.D., RAGHDA A. M. IBRAHIM, M. Sc ;., and RANIA N. KARKOSHA, Ph D. ;. SAMY HASSANEN, M.D. "Effect of Grasping Computer Mouse on Median Nerve Conduction Velocity in Computer Users." Medical Journal of Cairo University 86, December (December 1, 2018): 3565–71. http://dx.doi.org/10.21608/mjcu.2018.60598.

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