Discovery Park Undergraduate Research Internship Program

"Motion detection using Microsoft Kinect"

About the Project

Project Time & Type:
Fall 2016 - DURI
Research area(s):
Data acquisition, motion detection
Project Description:
Accurate prediction of a human being's intention of motion is challenging. This project is to develop a cost-effective motion-detection approach that can be used for future research on accurately predicting of a human being's intention of motion. In this project, the detection of motion will be achieved by acquiring image and skeletal data from Microsoft Kinect. Kinect is a natural interaction device with an RGB camera, 3-D depth sensor, and 4-channel microphone.
Expected Student Contributions:
The intern would contribute to this project through the acquisition and analyses of image and skeletal data from Microsoft Kinect by writing his or her own Matlab programs, and potentially through scholarly output such as posters or publications.
Related Website(s):
Desired Qualifications:
Highly motivated junior or senior in Engineering, Science, or Technology interested in data acquisition and motion detection. 3.0 or higher GPA. Proficient with Matlab programming
Estimated Weekly Hours:
Department awards independent research credits for this project?

Professor in Charge

Diao, Xiumin
school of engineering technology

Student Supervisor

Xiumin Diao
Assistant Professor

Cooperating Faculty

Xiaoming, Wang
Mechanical Engineering Technology