Digital Image Processing
Statistical color models with application to skin detection
International Journal of Computer Vision
Robust classification of hand postures against complex backgrounds
FG '96 Proceedings of the 2nd International Conference on Automatic Face and Gesture Recognition (FG '96)
A Real-Time Continuous Gesture Recognition System for Sign Language
FG '98 Proceedings of the 3rd. International Conference on Face & Gesture Recognition
Comparison of Five Color Models in Skin Pixel Classification
RATFG-RTS '99 Proceedings of the International Workshop on Recognition, Analysis, and Tracking of Faces and Gestures in Real-Time Systems
A Comparative Assessment of Three Approaches to Pixel-Level Human Skin-Detection
ICPR '00 Proceedings of the International Conference on Pattern Recognition - Volume 1
Smart Camera Phones: Limits and Applications
IEEE Pervasive Computing
Both Hands' Fingers' Angle Calculation from Live Video
International Journal of Computer Vision and Image Processing
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The need to improve communication between humans and computers has been instrumental in defining new communication models, and accordingly, new ways of interacting with machines. The use of gestures as a means of communication has been a challenging task. The latest generation of smartphones boasts powerful processors and built-in video cameras, making them capable of executing complex and computationally demanding applications. Thus, the integration of gesture recognition systems in smartphone applications might be a close reality. In this paper, we present studies of a gesture recognition prototype system for smartphones. We use a number of tasks typically employed in gesture recognition systems which permit to assess the current feasibility of smartphones to implement this kind of systems. Based on both the execution time and classification performance, we conclude that the latest smartphone generation is capable of executing complex image processing applications, with the most penalizing factor being camera performance regarding capture rates with the current J2ME support.