The RPPDI Gestures Dataset was evaluated with the Convexity Approach model, which can be found at the end of this page.
Fig. 3. (a) Applying the Convexity Approach on LCS (b) produces a new output vector. (c) Applying the Convexity Approach on SURF (d) produces a new output vector.
This dataset contains seven dynamic gestures with several examples per gesture. Each gesture is composed of 14 frames as described below:
This corpus is distributed under the Creative Commons CC BY-NC-SA 3.0 DE license. If you use this corpus, you have to agree with the following items:
- To cite our reference in any of your papers that make any use of the database. The references are provided at the end of this page.
- To use the corpus for research purpose only.
- To not provide the corpus to any second parties.
Cite this paper when using this dataset:
- Barros, P., Maciel-Junior, N. T., Fernandes, B. J., Bezerra, B. L., & Fernandes, S. M. (2017). A dynamic gesture recognition and prediction system using the convexity approach. Computer Vision and Image Understanding, 155, 139-149.