Human Computer Interaction with detection of Hand Gesture to improve Artistic creativity
DOI:
https://doi.org/10.32628/IJSRST523103122Keywords:
Artistic Creativity, Human Computer Interaction, Motion Acknowledgement, Hand Gesture and Color detection.Abstract
This research purpose is to improve the interest of artistic creativity for school or college’s students. Find new ways to use virtual reality technology to improve art professional education. Drawing using hand gestures is where we can draw by just capturing the motion of a colored marker with a camera. Discuss how computer vision can play an important role in art education. Using this we have created a simulation for art students or users which helps them to increase their interest to use modern technology which is going to help them to improve their artistic creativity. The Virtual Paint is where students or users can draw by just capturing the motion of a colored marker using a Camera.
References
- Sahoo, Jaya Prakash, et al. "Real-time hand gesture recognition using fine-tuned convolutional neural network." Sensors 22.3 (2022): 706.
- Julia Arnardottir , “Real-Time Hand Gesture Recognition using a Convolutional Neural Network”, 2019.
- Xu, Pei. "A real-time hand gesture recognition and human-computer interaction system." arXiv preprint arXiv:1704.07296 (2017).
- Köpüklü, Okan, et al. "Real-time hand gesture detection and classification using convolutional neural networks." 2019 14th IEEE international conference on automatic face & gesture recognition (FG 2019). IEEE, 2019.
- Kim, Hark-Joon, et al. "AR pen and hand gestures: a new tool for pen drawings." CHI'13 Extended Abstracts on Human Factors in Computing Systems. 2013. 943-948.
- Wang, Wei-Ying, Li-Chu Tien, and Yu-Qi Du. "Based on VR Technology the Influence of School Organizational Innovation Atmos Phere Artistic Creativity of University Students: Mediating Role of Flow Experience." Int. J. Inf. Educ. Technol. 12.2 (2022): 123-131.
- Chandan, G., Ayush Jain, and Harsh Jain. "Real time object detection and tracking using Deep Learning and OpenCV." 2018 International Conference on inventive research in computing applications (ICIRCA). IEEE, 2018.
- Guennouni, Souhail, Ali Ahaitouf, and Anass Mansouri. "Multiple object detection using OpenCV on an embedded platform." 2014 Third IEEE International Colloquium in Information Science and Technology (CIST). IEEE, 2014.
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