An Exploration into Human–Computer Interaction: Hand Gesture Recognition Management in a Challenging Environment

• Published in: SN computer science Vol. 4; no. 5; p. 441
• Main Authors: Chang, Victor, Eniola, Rahman Olamide, Golightly, Lewis, Xu, Qianwen Ariel
• Format: Journal Article
• Language: English
• Published: Singapore Springer Nature Singapore 01.01.2023; Springer Nature B.V
• Subjects: Algorithms; Artificial neural networks; Classification; Color; Computer Imaging; Computer Science; Computer Systems Organization and Communication Networks; Computers; Data collection; Data Structures and Information Theory; Deep learning; Emerging Technologies and Services for post-COViD-19; Ethics; Gesture recognition; Image segmentation; Information Systems and Communication Service; Machine learning; Natural language processing; Original Research; Pattern Recognition and Graphics; Pixels; Sensors; Software Engineering/Programming and Operating Systems; Speech; Usability; User interface; Vision; Convolutional neural network (CNN); Machine learning; Hand recognition; Human–computer interaction

Scientists are developing hand gesture recognition systems to improve authentic, efficient, and effortless human–computer interactions without additional gadgets, particularly for the speech-impaired community, which relies on hand gestures as their only mode of communication. Unfortunately, the spe...