Product Description
Contour Model-Based Hand-Gesture Recognition Using the Kinect Sensor
Abstract— Contour Model-Based Hand-Gesture Recognition Using the Kinect Sensor. In RGB-D sensor-based pose estimation, training data collection is often a challenging task. We propose a new hand motion capture procedure for establishing the real gesture data set. A 14-patch hand partition scheme is designed for color-based < Final Year Projects 2016 > semiautomatic labeling. This method is integrated into a vision-based hand gesture recognition framework for developing desktop applications. We use the Kinect sensor to achieve more reliable and accurate tracking under unconstrained conditions. Moreover, a hand contour model is proposed to simplify the gesture matching process, which can reduce the computational complexity of gesture matching. This framework allows tracking hand gestures in 3-D space and matching gestures with simple contour model, and thus supports complex real–time interactions.
Including Packages
Our Specialization
Support Service
Statistical Report
![Contour Model-Based Hand-Gesture Recognition Using The Kinect Sensor 5 110](https://myprojectbazaar.com/wp-content/uploads/2013/12/110.jpg)
satisfied customers
3,589![Contour Model-Based Hand-Gesture Recognition Using The Kinect Sensor 6 25](https://myprojectbazaar.com/wp-content/uploads/2013/12/25.jpg)
Freelance projects
983![Contour Model-Based Hand-Gesture Recognition Using The Kinect Sensor 7 311](https://myprojectbazaar.com/wp-content/uploads/2013/12/311.jpg)
sales on Site
11,021![Contour Model-Based Hand-Gesture Recognition Using The Kinect Sensor 8 41](https://myprojectbazaar.com/wp-content/uploads/2013/12/41.jpg)
developers
175+
There are no reviews yet