Proceedings of the International Gesture Workshop on Gesture and Sign Language in Human-Computer Interaction
Computer vision for computer games
FG '96 Proceedings of the 2nd International Conference on Automatic Face and Gesture Recognition (FG '96)
Real-time American Sign Language recognition from video using hidden Markov models
ISCV '95 Proceedings of the International Symposium on Computer Vision
Interaction with Hand Gesture for a Back-Projection Wall
CGI '04 Proceedings of the Computer Graphics International
Principle and mechanical analysis of a pneumatic underactuated bionic hand
ROBIO'09 Proceedings of the 2009 international conference on Robotics and biomimetics
Vision-based remote control system by motion detection and open finger counting
IEEE Transactions on Consumer Electronics
Visual recognition of continuous hand postures
IEEE Transactions on Neural Networks
Robust Kinect-based guidance and positioning of a multidirectional robot by Log-ab recognition
Expert Systems with Applications: An International Journal
| Hi-index | 0.00 |
The shape of human hand is such that it can perform many tedious tasks easily. It can reach narrow places and can perform difficult operations. It can bend its fingers at different angles to pick or hold different objects and apply force via fingers or palm area. It is very helpful in many difficult applications. However, there is risk of injury to the human hand, or even life in dangerous operations. It is not advisable to gamble of human body parts for applications like land mine removal. Hence, there is a need of a robotic hand which can perform the same operation as a human hand does in real time. This paper discusses a vision-based technique of controlling a robotic hand which has human hand like joints in fingers. The user has to show a gesture to the system with bare hand without any limitation on hand direction and the robotic hand would mimic that gesture. The positions of human hand fingers were calculated using supervised Artificial Neural Network. The preprocessing made the whole algorithm faster by cropping the region of interest from input image frame. The gesture was extracted from the input image and fingertips, centre of palm were detected. The animated simulation of robotic hand is done in Blender(R) software.