학술논문

A Dataglove Hardware Design and Real-Time Sign Gesture Interpretation
Document Type
Conference
Source
2018 Joint 10th International Conference on Soft Computing and Intelligent Systems (SCIS) and 19th International Symposium on Advanced Intelligent Systems (ISIS) Soft Computing and Intelligent Systems (SCIS) and 19th International Symposium on Advanced Intelligent Systems (ISIS), 2018 Joint 10th International Conference on. :946-949 Dec, 2018
Subject
Communication, Networking and Broadcast Technologies
Computing and Processing
Robotics and Control Systems
Signal Processing and Analysis
Gesture recognition
Assistive technology
Microcontrollers
Accelerometers
Sensor arrays
Hardware
sign language recognition, arduino, gesture, dataglove
Language
Abstract
In this work, we attempt to design a dataglove to assist sign language users communicate with non-users. We focus our work on designing a low cost dataglove using open source hardware and software. We run algorithms on the micro controller to interpret basic gestures and phrases. The interpretation results are sent wirelessly to a bluetooth enabled smartphone to be displayed on screen. We benchmark the interpretation accuracy on three different users. Our results show that most basic sign gestures can be interpreted rather accurately using only simple algorithms.