• Journal of Korea Multimedia Society
• /
• v.20 no.4
• /
• pp.671-685
• /
• 2017

We propose a finger detection algorithm for computer mouse control to control the most commonly actions of a computer mouse(left, right and double click, scroll up and down then we add open and close, minimize and maximize a window, control the mouse.) We use a built-in web camera to control the mouse tasks. We detected, segment, then recognize the hand in our previous papers [1, 2]. The user will be able to interact with the computer with the number of fingers detected.

• The Journal of the Institute of Internet, Broadcasting and Communication
• /
• v.15 no.2
• /
• pp.167-173
• /
• 2015

Extraction of Finger-end points is one of the most process for user multi-commands in the Hand-Gesture interface technology. However, most of previous works use the geometric and morphological method for extracting a finger-end points. Therefore, this paper proposes the method of user finger-end points extraction that is motivated a ultrared diffused illumination, which is used for the user commands in the multi-touch display device. Proposed air-mouse is worked by the quantity state and moving direction of extracted finger-end points. Also, our system includes a basic mouse event, as well as the continuous command function for expending a user multi-gesture. In order to evaluate the performance of the our proposed method, after applying to the web browser application as a command device. As a result, the proposed method showed the average 90% success-rate for the various user-commands.

• Journal of the Korea Institute of Information and Communication Engineering
• /
• v.15 no.4
• /
• pp.935-942
• /
• 2011

This study aims to design and implement the finger gesture recognizing system that automatically recognizes finger gestures input through a camera and controls the computer. Common CCD cameras were redesigned as infrared light cameras to acquire the images. The recorded images go through the pre-process to find the hand features, the finger gestures are read accordingly, and an event takes place for the follow-up mouse controlling and presentation, and finally the way to control computers is suggested. The finger gesture recognizing system presented in this study has been verified as the next-generation interface to replace the mouse and keyboard for the future information-based units.

• Journal of Korea Multimedia Society
• /
• v.15 no.11
• /
• pp.1377-1383
• /
• 2012

This paper proposes a human mouse system that replaces mouse input by human hand movement. As the resolution of monitors increases, it is not quite possible, due to the resolution difference between web cameras and monitors, to place the cursor in the entire range of a monitor by simply moving the pointer which recognizes the position of the hand from the web camera. In this regard, we propose an effective method of placing the position of the mouse, without repeating the returning hand movements, in the corners of the monitor in which the user wants it to be. We also proposes the recognition method of finger movements in terms of using thumb and index finger. The measurement that we conducted shows the successful recognition rate of 97% that corroborates the effectiveness of our method.

• The Journal of the Institute of Internet, Broadcasting and Communication
• /
• v.11 no.2
• /
• pp.57-62
• /
• 2011

Recently, various interaction was demanded from rapid development and use of portable device. So, operation of touch interface in tablet and smart phone needs many requirements and proactivity. In this paper, for variety of users and convenient interaction, It is aimed to realize virtual reality mouse of portable device. It reflected similar interaction of an existing mouse and it used infrared image without intensity of illumination. Also, It analyzed finger point information of middle and index finger of users and it designed virtual mouse without proactivity and constraint of space.

• Journal of the Ergonomics Society of Korea
• /
• v.27 no.4
• /
• pp.109-117
• /
• 2008

Compared to the existing PC which uses a mouse and a keyboard, the touchscreen-based portable PC allows the user to use fingers, requiring new operation methods. However, current touchscreen-based web browser operations in many cases involve merely having fingers move simply like a mouse and click, or not corresponding well to the user's sensitivity and the structure of one's index finger, making itself difficult to be used during walking. Therefore, the goal of this study is to develop finger gestures which facilitate the interaction between the interface and the user, and make the operation easier. First, based on the frequency of usage in the web browser and preference, top eight functions were extracted. Then, the users' structural knowledge was visualized through sketch maps, and the finger gestures which were applicable in touchscreens were derived through the Meaning in Mediated Action method. For the front/back page, and up/down scroll functions, directional gestures were derived, and for the window closure, refresh, home and print functions, letter-type and icon-type gestures were drawn. A validation experiment was performed to compare the performance between existing operation methods and the proposed one in terms of execution time, error rate, and preference, and as a result, directional gestures and letter-type gestures showed better performance than the existing methods. These results suggest that not only during the operation of touchscreen-based web browser in portable PC but also during the operation of telematics-related functions in automobile, PDA and so on, the new gestures can be used to make operation easier and faster.

• BMB Reports
• /
• v.40 no.2
• /
• pp.270-276
• /
• 2007

We have cloned a novel mouse zinc finger protein gene Znf313 by rapid amplification of cDNA ends (RACE) according to the homologue of human ZNF313 gene. The cDNA is 2,163 base pairs (bp) in length and encodes a 229 amino acids (aa) protein with a $C_3HC_4$ ring finger domain and three $C_2H_2$ domains. 89% and 93% nucleotide (nt) and aa sequence identity is observed with its human homologue. Revealed by Northern blot and RT-PCR, full mRNA consists of 2.16 kb and widely expresses in tissues as a single transcript, most abundantly in heart, liver, kidney and testis. The expression of Znf313 in testis is detected in all development stages. Western blot analysis also reveals that Znf313 is expressed in the tissues. Immunohistochemical staining and subcellular localization demonstrate that Znf313 is expressed both in the cytoplasm and nucleus whereas predominantly localized in the nucleus. Present data suggests that Znf313 gene might play a fundamental role in gene transcription and regulation in organism and relates to spermatogenesis.

• Journal of the Institute of Electronics Engineers of Korea SC
• /
• v.47 no.4
• /
• pp.47-54
• /
• 2010

We propose a smart human-computer interface replacing conventional mouse interface. The interface is able to control cursor and command action with only hand performing without object. Four finger motions(left click, right click, hold, drag) for command action are enough to express all mouse function. Also we materialize cursor movement control using image processing. The measure what we use for inference is entropy of EMG signal, gaussian modeling and maximum likelihood estimation. In image processing for cursor control, we use color recognition to get the center point of finger tip from marker, and map the point onto cursor. Accuracy of finger movement inference is over 95% and cursor control works naturally without delay. we materialize whole system to check its performance and utility.

• Journal of Korean Physical Therapy Science
• /
• v.19 no.1
• /
• pp.47-54
• /
• 2012

Purpose : This study is to know the effect on muscle activity when people use mouse aid or not in computer working environment. Method : 11 people of both sex in their twentieth were tested. As a independent variable, the condition without mouse aid and the condition with movable mouse aid were selected, and as a dependent variable, MVC(%) on four muscles and inconvenience degree(RPE scale) on three body part(wrist, forearm, shoulder) were measured. Result : Analyzing the research, MVC(%) of extensor muscle of finger had notably higher muscle activity than other muscles, and there wasn't notable difference in muscle activity before and after using mouse aid. In case of using mouse aid, we tested by giving RPE questionnaire which segmentalized mental fatigue degree into hand, forearm, and shoulder, and resultingly, there wasn't notable differences perspectively. However, people felt less tiredness subjectively after they use the mouse aid. Conclusion : The usage of mouse aid seems to give comfort to computer users.

• Journal of IKEEE
• /
• v.18 no.4
• /
• pp.478-484
• /
• 2014

In this paper, we propose new algorithm for positioning of mouse cursor using fingertip direction on kinect depth camera. The proposed algorithm uses center of parm points from distance transform when fingertip point toward screen. Otherwise, algorithm use fingertip points. After image preprocessing, the center of parm points is calculated from distance transform results. If the direction of the finger towards the camera becomes close to the distance between the fingertip point and center of parm point, it is possible to improve the accuracy of positioning by using the center of parm point. After remove arm on image, the fingertip points is obtained by using a pixel on the long distance from the center of the image. To calculate accuracy of mouse positioning, we selected any 5 points. Also, we calculated error rate between reference points and mouse points by performed 500 times. The error rate results could be confirmed the accuracy of our algorithm indicated an average error rate of less than 11%.