finger tracking
ABSTRACT
For a long time research on human-computer interaction (HCI) has been restricted to techniques based on the use of monitor, keyboard and mouse. Recently this paradigm has changed. Techniques such as vision, sound, speech recognition, projective displays and location aware devices allow for a much richer, multi-modal interaction between man and machine. Finger-tracking is usage of bare hand to operate a computer in order to make human-computer interaction much quicker and easier.
Fingertip finding deals with extraction of information from hand features and positions. In this method we use the position and direction of the fingers in order to get the required segmented region of interest. We present a flexible system to track the movements of a bare finger on a flat surface. The proposed system is able to discriminate whether the user is touching or just pointing at the surface. The system works using two webcams and a fast scan line-based algorithm. The initial setup of the two webcams is easy and fast. No markers, gloves, or other hand-held devices are required. Since the system is independent from the nature of the pointing surface, it is possible to use a screen or a projected wall as a virtual touchscreen. The complexity of the algorithms used by the system grows less than linearly with resolution, making the software layer very lightweight and suitable also for low-powered devices like embedded controllers.
Introduction
History
Working process
Technology & usage
Finger mouse
Advantages
Disadvantages
Conclusion
INTRODUCTION
Finger pointing systems aim to replace pointing and clicking devices like the mouse with the bare hand. These applications require a robust localization of the fingertip plus the recognition of a limited number of hand postures for “clicking-commands”.
Finger-tracking systems are considered as specialized type of hand posture/gesture recognition system.
WORKING PROCESS
Sign language
For a long time research on human-computer interaction (HCI) has been restricted to techniques based on the use of monitor, keyboard and mouse. Recently this paradigm has changed. Techniques such as vision, sound, speech recognition, projective displays and location aware devices allow for a much richer, multi-modal interaction between man and machine. Finger-tracking is usage of bare hand to operate a computer in order to make human-computer interaction much quicker and easier.
Fingertip finding deals with extraction of information from hand features and positions. In this method we use the position and direction of the fingers in order to get the required segmented region of interest. We present a flexible system to track the movements of a bare finger on a flat surface. The proposed system is able to discriminate whether the user is touching or just pointing at the surface. The system works using two webcams and a fast scan line-based algorithm. The initial setup of the two webcams is easy and fast. No markers, gloves, or other hand-held devices are required. Since the system is independent from the nature of the pointing surface, it is possible to use a screen or a projected wall as a virtual touchscreen. The complexity of the algorithms used by the system grows less than linearly with resolution, making the software layer very lightweight and suitable also for low-powered devices like embedded controllers.
Introduction
History
Working process
Technology & usage
Finger mouse
Advantages
Disadvantages
Conclusion
INTRODUCTION
Finger pointing systems aim to replace pointing and clicking devices like the mouse with the bare hand. These applications require a robust localization of the fingertip plus the recognition of a limited number of hand postures for “clicking-commands”.
Finger-tracking systems are considered as specialized type of hand posture/gesture recognition system.
WORKING PROCESS
Sign language