Computer vision based mouse

2002-01-01
Erdem, Aykut
Erdem, Erkut
Yardimci, Yasemin
Atalay, Mehmet Volkan
Cetin, A. Enis
We describe a computer vision based mouse, which can control and command the cursor of a computer or a computerized system using a camera. In order to move the cursor on the computer screen the user simply moves the mouse shaped passive device placed on a surface within the viewing area of the camera. The video generated by the camera is analyzed using computer vision techniques and the computer moves the cursor according to mouse movements. The computer vision based mouse has regions corresponding to buttons for clicking. To click a button the user simply covers one of these regions with his/her finger.
ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings

Suggestions

Computer vision based unistroke keyboard system and mouse for the handicapped
Erdem, ME; Erdem, IA; Atalay, Mehmet Volkan; Cetin, AE (2003-07-09)
In this paper, a unistroke keyboard based on computer vision is described for the handicapped. The keyboard can be made of paper or fabric containing an image of a keyboard, which has an upside down U-shape. It can even be displayed on a computer screen. Each character is represented by a non-overlapping rectangular region on the keyboard image and the user enters a character by illuminating a character region with a laser pointer. The keyboard image is monitored by a camera and illuminated key locations ar...
Vision-based human-computer interaction using laser pointer
Erdem, İbrahim Aykut; Atalay, Mehmet Volkan; Department of Computer Engineering (2003)
By the availability of today̕s inexpensive powerful hardware, it becomes possible to design real-time computer vision systems even in personal computers. Therefore, computer vision becomes a powerful tool for human-computer interaction (HCI). In this study, three different vision-based HCI systems are described. As in all vision-based HCI systems, the developed systems requires a camera (a webcam) to monitor the actions of the users. For pointing tasks, laser pointer is used as the pointing device. The firs...
Computer vision based unistroke keyboards
Erdem, A; Erdem, E; Atalay, Mehmet Volkan; Cetin, AE (2002-10-30)
In this paper we present a unistroke keyboard based on computer vision. The keyboard can be made of paper containing an image of the keyboard which has an upside down U-shape. Each character is represented by a nonoverlapping rectangular region. The user enters a character to the computer by covering the character region with a stylus. The actions of the user are captured by a camera and the covered key is recognized. During the text entry process the user need not have to raise the stylus from the keyboard...
Human motion analysis via axis based representations
Erdem, Sezen; Tarı, Zehra Sibel; Department of Computer Engineering (2007)
Visual analysis of human motion is one of the active research areas in computer vision. The trend shifts from computing motion fields to understanding actions. In this thesis, an action coding scheme based on trajectories of the features calculated with respect to a part based coordinate system is presented. The part based coordinate system is formed using an axis based representation. The features are extracted from images segmented in the form of silhouettes. We present some preliminary experiments that d...
Analysis and classification of spelling paradigm EEG data and an attempt for optimization of channels used
Yıldırım, Asil; Halıcı, Uğur; Department of Electrical and Electronics Engineering (2010)
Brain Computer Interfaces (BCIs) are systems developed in order to control devices by using only brain signals. In BCI systems, different mental activities to be performed by the users are associated with different actions on the device to be controlled. Spelling Paradigm is a BCI application which aims to construct the words by finding letters using P300 signals recorded via channel electrodes attached to the diverse points of the scalp. Reducing the letter detection error rates and increasing the speed of...
Citation Formats
A. Erdem, E. Erdem, Y. Yardimci, M. V. Atalay, and A. E. Cetin, “Computer vision based mouse,” ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, pp. 4178–4178, 2002, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/56715.