Research modules for undergraduates in machine learning for automatic gesture classification
Document Type
Conference Proceeding
Publication Date
8-20-2012
Abstract
In this paper we describe ongoing undergraduate research projects that allow us to shift emphasis from teaching to a more active form of student participation. More specifically our projects are on automatic gesture recognition using the Kinect 3D sensor from Microsoft Research and machine learning systems. We have observed the following benefits for our undergraduate students: learning a topic area in AI relatively early; developing proficiency in laboratory practice, specifically, systematic data collection and programming on multiple platforms; learning to use appropriate methodology; applying knowledge to a real situation; learning to analyze data and transform it to various representations; appreciation of scientific experiments and learning what scientific research actually entails. Copyright © 2012, Association for the Advancement of Artificial Intelligence. All rights reserved.
Recommended Citation
Bhattacharya, Sambit; Czejdo, Bogdan Denny; and Perez, Nick, "Research modules for undergraduates in machine learning for automatic gesture classification" (2012). College of Health, Science, and Technology. 163.
https://digitalcommons.uncfsu.edu/college_health_science_technology/163