Paper Info
Title
Utilizing Depth Based Sensors and Customizable Software Frameworks for Experiential Application.
Abstract
Using depth sensor cameras such as the Kinect and highly customizable software development frameworks in conjunction with artificial intelligence methodologies offer significant opportunities in a variety of applications, such as undergraduate science, technology, engineering, and math (STEM) education, professional or military training simulation, and individually-tailored cultural and media arts immersion. Designing a participatory educational experience where users are able to actively interface and experience given subject matter in a practical experiential manner can enhance the user's ability to learn and retain presented information. Such natural gesture user interfaces have potential for broad application in disciplines ranging from systems engineering education to process simulation. This paper will discuss progress on the development of testing environments for interactive educational methods in conjunction with artificial intelligent systems that have the ability to adjust the educational user experience based on individual user identification. This will be achieved through depth sensor skeletal tracking, allowing experience adaptation based on the nature and effectiveness of the interactive educational experience.
Year
DOI
Venue
2012
10.1016/j.procs.2012.09.054
Procedia Computer Science
Keywords
Field
DocType
Kinect,Natural Gesture Interfaces,STEM education,Process Simulator,Depth Sensors,Skeletal Tracking,Artificial Intelligence
Experiential learning,User experience design,Computer science,Gesture,Human–computer interaction,Citizen journalism,User interface,Multimedia,Software development,Software framework,Training simulation
Journal
Volume
ISSN
Citations 
12
1877-0509
1
PageRank 
References 
Authors
0.34
5
6
Name
Order
Citations
PageRank
Brian Moriarty110.34
Elizabeth Lennon271.10
Frank DiCola310.34
Kyle Buzby410.34
Morisa Manzella510.68
Emily Hromada610.34