Abstract
This work presents an analytical approach to design a gesture vocabulary (GV) using multiobjectives for psycho-physiological and gesture recognition factors. Previous works dealt only with selection of hand gestures vocabularies using rule based or ad-hoc methods. The analytical formulation in our research is a demonstration of the future need defined by previous research. A meta-heuristic approach is taken by decomposing the problem into two sub-problems: (i) finding the subsets of gestures that meet a minimal accuracy requirement, and (ii) matching gestures to commands to maximize the human factors objective. The result is a set of solutions from which a Pareto optimal subset is selected. An example solution from the Pareto set is exhibited using prioritized objectives.
| Original language | English |
|---|---|
| Pages (from-to) | 57-68 |
| Number of pages | 12 |
| Journal | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
| Volume | 5085 LNAI |
| DOIs | |
| State | Published - 23 Feb 2009 |
| Event | 7th International Gesture Workshop, GW 2007 - Lisbon, Portugal Duration: 23 May 2007 → 25 May 2007 |
Keywords
- Feature selection
- Fuzzy c-means
- Gesture interfaces
- Hand gesture recognition
- Hand gesture vocabulary design
- Human-computer interaction
- Multiobjective optimization
ASJC Scopus subject areas
- Theoretical Computer Science
- General Computer Science