Affiliation:
1. Mathematical Institute , University of Miskolc 3515 Miskolc-Egyetemváros , Miskolc , Hungary
Abstract
Abstract
The efficient human-machine interaction is an essential and current problem of computer science. The paper presents a gesture recognition method which applies optical flow calculation and an aggregation for obtaining a heatmap-like representation of the motion trajectories. After the overview of the image processing workflow, the paper introduces six symbols for providing some measurements. The described experiments show the robustness of the method against color, shape and time variance.
Reference15 articles.
1. [1] Arcangel, R., et al. (2017), Robust Mouse Control based on Dynamic Template Matching of Hand Gestures, The International Congress for global Science and Technology.
2. [2] Baker, Simon, and Iain Matthews. (2004), Lucas-kanade 20 years on: A unifying framework, International journal of computer vision 56.3, pp. 221-255.
3. [3] Biswas, K. K., & Basu, S. K. (2011, December). Gesture recognition using microsoft kinect®. In The 5th international conference on automation, robotics and applications, pp. 100-103.
4. [4] Joseph, V., Talpade, A., Suvarna, N., & Mendonca, Z. (2018, June), Visual gesture recognition for text writing in air. In 2018 Second International Conference on Intelligent Computing and Control Systems (ICICCS), pp. 23-26).
5. [5] Kumar, S., Tanwar, M., Kumar, A., Rani, G., & Chamoli, P. (2019). Hand Gesture Recognition Based Calculator.