Gesture Recognition Technology
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Gesture recognition technology interprets human gestures through mathematical algorithms, enabling natural communication between humans and machines. It utilizes various input devices like depth-aware cameras, stereo cameras, and wired gloves for gesture detection, which is useful in applications such as sign language recognition, robotics, and gaming. However, it faces challenges like user fatigue from prolonged use and limitations in detecting gestures when limbs are obscured.
Gesture Recognition Technology
- 3. Introduction Gesture recognition is a topic in computer science and language technology which interpret human gestures via mathematical algorithms. Gestures can originate from any bodily motion or state but commonly originate from the face or hand. Gesture recognition enables humans to communicate with the machine (HMI) and interact naturally without any mechanical devices.
- 4. How it Works? In Gesture Recognition Technology, a camera reads the movement of human body and communicates the data to a computer that uses the gestures as input to control devices. Gesture recognition can be conducted with techniques from computer vision and image processing.
- 5. Computer Vision Image Processing Computer vision is a field that includes methods for processing, analyzing, and understanding images Image processing is processing of images using mathematical operations by using any form of signal processing for which the input is an image.
- 6. Input Devices Wired gloves This uses fiber optic cables running down the back of the hand. Light pulses are created and when the fingers are bent, light leaks through small cracks and the loss is registered, giving an approximation of the hand pose.
- 8. Input Devices Depth-aware Cameras These cameras are used for detection of hand gestures due to their short range capabilities.
- 10. Input Devices Stereo Cameras Using two cameras whose relations to one another are known, gesture detection is possible.
- 11. Input Devices Controller-based Gestures These controllers act as an extension of the body so that when gestures are performed, some of their motion can be conveniently captured by software.
- 13. Input Devices Single Camera A standard 2D camera can be used for gesture recognition.
- 14. Uses Sign Language Recognition Robotics Game Technology Remote Control Automated Homes
- 15. Draw Backs Gorilla arm Gorilla arm was a side-effect of vertically oriented touch-screen or light-pen use. In periods of prolonged use, users' arms began to feel fatigue and/or discomfort. This effect contributed to the decline of touch-screen input despite initial popularity in the 1980s. Fails to detect when the legs and hands of human are completely covered .
- 16. Conclusion Gesture Recognition Technology interpret human gestures and actions via mathematical algorithms. Cameras detect gestures and computer do process to interpret them. This technology is very useful in robotic and gaming zone and makes the control more easier.
Editor's Notes
- #4: HMI: human–machine interface
- #7: This uses fiber optic cables running down the back of the hand. Light pulses are created and when the fingers are bent, light leaks through small cracks and the loss is registered, giving an approximation of the hand pose.
- #9: time-of-flight cameras, detection of hand gestures due to their short range capabilities
- #11: Using two cameras whose relations to one another are known
- #12: These controllers act as an extension of the body so that when gestures are performed, some of their motion can be conveniently captured by software.
- #14: . A standard 2D camera can be used for gesture recognition