Computer vision based unistroke keyboard system and mouse for the handicapped

Erdem, ME
Erdem, IA
Atalay, Mehmet Volkan
Cetin, AE
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 are recognized. During the text entry process the user neither have to tum the laser light off nor raise the laser light from the keyboard. A disabled person who bas difficulty using hisiher hands may attach the laser pointer to an eyeglass and easily enter text by moving hisher head to point the laser beam on a character location. In addition, a mouse-like device can be developed based on the same principle. The user can move the cursor by moving the laser light on the computer screen which is monitored by a camera.


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...
Computer vision based mouse
Erdem, Aykut; Erdem, Erkut; Yardimci, Yasemin; Atalay, Mehmet Volkan; Cetin, A. Enis (2002-01-01)
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 butto...
Shape descriptors based on intersection consistency and global binary patterns
Sivri, Erdal; Kalkan, Sinan; Department of Computer Engineering (2012)
Shape description is an important problem in computer vision because most vision tasks that require comparing or matching visual entities rely on shape descriptors. In this thesis, two novel shape descriptors are proposed, namely Intersection Consistency Histogram (ICH) and Global Binary Patterns (GBP). The former is based on a local regularity measure called Intersection Consistency (IC), which determines whether edge pixels in an image patch point towards the center or not. The second method, called Globa...
Face detection in active robot vision
Önder, Murat; Halıcı, Uğur; Department of Electrical and Electronics Engineering (2004)
The main task in this thesis is to design a robot vision system with face detection and tracking capability. Hence there are two main works in the thesis: Firstly, the detection of the face on an image that is taken from the camera on the robot must be achieved. Hence this is a serious real time image processing task and time constraints are very important because of this reason. A processing rate of 1 frame/second is tried to be achieved and hence a fast face detection algorithm had to be used. The Eigenfa...
Object recognition and segmentation via shape models
Altınoklu, Metin Burak; Ulusoy, İlkay; Tarı, Zehra Sibel; Department of Electrical and Electronics Engineering (2016)
In this thesis, the problem of object detection, recognition and segmentation in computer vision is addressed with shape based methods. An efficient object detection method based on a sparse skeleton has been proposed. The proposed method is an improved chamfer template matching method for recognition of articulated objects. Using a probabilistic graphical model structure, shape variation is represented in a skeletal shape model, where nodes correspond to parts consisting of lines and edges correspond to pa...
Citation Formats
M. Erdem, I. Erdem, M. V. Atalay, and A. Cetin, “Computer vision based unistroke keyboard system and mouse for the handicapped,” 2003, Accessed: 00, 2020. [Online]. Available: