Hand Gesture of Recognition Pattern Analysis by Image Treatment Techniques

• Published in: Computational and mathematical methods in medicine Vol. 2022; pp. 1 - 10
• Main Authors: Alhamazani, Khalid Twarish, Alshudukhi, Jalawi, Aljaloud, Saud, Abebaw, Solomon
• Format: Journal Article
• Language: English
• Published: United States Hindawi 11.01.2022
• Subjects: Computational Biology; Gestures; Hand - physiology; Humans; Image Processing, Computer-Assisted - methods; Image Processing, Computer-Assisted - statistics & numerical data; Imaging, Three-Dimensional - methods; Imaging, Three-Dimensional - statistics & numerical data; Movement - physiology; Pattern Recognition, Automated - methods; Pattern Recognition, Automated - statistics & numerical data; User-Computer Interface; Video Recording - methods; Video Recording - statistics & numerical data
• ISSN: 1748-670X; 1748-6718; 1748-6718
• DOI: 10.1155/2022/1905151

The goal of this project is to write a program in the C++ language that can recognize motions made by a subject in front of a camera. To do this, in the first place, a sequence of distance images has been obtained using a depth camera. Later, these images are processed through a series of blocks into which the program has been divided; each of them will yield a numerical or logical result, which will be used later by the following blocks. The blocks into which the program has been divided are three; the first detects the subject’s hands, the second detects if there has been movement (and therefore a gesture has been made), and the last detects the type of gesture that has been made accomplished. On the other hand, it intends to present to the reader three unique techniques for acquiring 3D images: stereovision, structured light, and flight time, in addition to exposing some of the most used techniques in image processing, such as morphology and segmentation.