Machine Learning-Based Gesture Recognition Glove: Design and Implementation.

ABSTRACT: In the evolving field of human-computer interaction (HCI), gesture recognition has emerged as a critical focus, with smart gloves equipped with sensors playing one of the most important roles. Despite the significance of dynamic gesture recognition, most research on data gloves has concentrated on static gestures, with only a small percentage addressing dynamic gestures or both. This study explores the development of a low-cost smart glove prototype designed to capture and classify dynamic hand gestures for game control and presents a prototype of data gloves equipped with five flex sensors, five force sensors, and one inertial measurement unit (IMU) sensor. To classify dynamic gestures, we developed a neural network-based classifier, utilizing a convolutional neural network (CNN) with thr

SUBMITTER: Filipowska A 

PROVIDER: S-EPMC11435472 | biostudies-literature | 2024 Sep

REPOSITORIES: biostudies-literature