| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 10321702 | Entertainment Computing | 2013 | 14 Pages |
Abstract
⺠Compared gesture recognition accuracy among five machine learning algorithms. ⺠Tested Decision Trees, Bayesian Networks, Linear Classifier, Support Vector Machines, and an AdaBoost-based Classifier. ⺠Conducted a user study with 27 participants, resulting in a database of 17,890 gesture samples. ⺠Investigated how recognition accuracy results translate to a video game environment. ⺠Suggest strategies for game developers who want to use 3D gestures in video games.
Keywords
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
Salman Cheema, Michael Hoffman, Joseph J. Jr.,