18548585. METHODS AND DEVICES FOR GESTURE RECOGNITION simplified abstract (Intel Corporation)
Contents
- 1 METHODS AND DEVICES FOR GESTURE RECOGNITION
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 METHODS AND DEVICES FOR GESTURE RECOGNITION - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Potential Applications
- 1.6 Problems Solved
- 1.7 Benefits
- 1.8 Potential Commercial Applications
- 1.9 Possible Prior Art
- 1.10 Unanswered Questions
- 1.11 Original Abstract Submitted
METHODS AND DEVICES FOR GESTURE RECOGNITION
Organization Name
Inventor(s)
Sangeeta Manepalli of Chandler AZ (US)
METHODS AND DEVICES FOR GESTURE RECOGNITION - A simplified explanation of the abstract
This abstract first appeared for US patent application 18548585 titled 'METHODS AND DEVICES FOR GESTURE RECOGNITION
Simplified Explanation
The gesture recognition device described in the abstract is a system that can recognize gestures performed by a body part in a sequence of images captured from a camera viewpoint. Here is a simplified explanation of the patent application:
- The device receives a sequence of images showing a body part performing a gesture.
- It generates a sequence of motion-compensated images by compensating for the movement of the camera viewpoint.
- The gesture is estimated from the sequence of motion-compensated images.
Potential Applications
This technology could be used in:
- Virtual reality systems for gesture-based interactions.
- Sign language recognition for communication devices.
- Gaming consoles for motion-controlled gameplay.
Problems Solved
- Accurate gesture recognition from image sequences.
- Compensation for camera movement to improve recognition accuracy.
Benefits
- Enhanced user experience in virtual reality and gaming.
- Improved accessibility for individuals using sign language.
- Efficient and accurate gesture recognition for various applications.
Potential Commercial Applications
- Gesture-controlled devices for smart homes.
- Interactive kiosks for public spaces.
- Healthcare applications for rehabilitation exercises.
Possible Prior Art
One possible prior art could be the use of motion sensors for gesture recognition in gaming consoles, which may not provide the same level of accuracy as the described technology.
Unanswered Questions
How does the device handle variations in lighting conditions that may affect gesture recognition accuracy?
The patent application does not specify how the device adjusts for changes in lighting that could impact gesture recognition performance.
What is the processing time required for the device to recognize a gesture from a sequence of images?
The abstract does not mention the speed at which the device can analyze and identify gestures, which could be crucial for real-time applications like gaming.
Original Abstract Submitted
Disclosed herein is a gesture recognition device that includes an input interface configured to receive a sequence of images, each image showing a body part with which a gesture is performed from a viewpoint of a camera. The gesture recognition device also generates a sequence of motion-compensated images from the sequence comprising generating a motion-compensated image for an image of the sequence by compensating the movement of the camera viewpoint from a reference camera viewpoint to the viewpoint from which the image shows the body part based on the image and a motion-compensated image of the sequence generated for a preceding image of the sequence which precedes the image in the sequence and estimate the gesture from the sequence of motion-compensated images.
