Recent advances of deep learning for sign language recognition

L Zheng, B Liang, A Jiang - 2017 International Conference on …, 2017 - ieeexplore.ieee.org
To assist the social interaction of deaf and hearing impaired people, efficient interactive
communication tools is expected. With the growing research interest in action and gesture …

Sign Language Recognition with Multimodal Sensors and Deep Learning Methods

C Lu, M Kozakai, L Jing - Electronics, 2023 - mdpi.com
Sign language recognition is essential in hearing-impaired people's communication.
Wearable data gloves and computer vision are partially complementary solutions. However …

A sensing data and deep learning-based sign language recognition approach

W Hao, C Hou, Z Zhang, X Zhai, L Wang… - Computers and Electrical …, 2024 - Elsevier
Correct sign language recognition helps deaf people communicate normally with hearing
people. However, existing sign language recognition techniques have low recognition …

Recognizing Complex Activities by Combining Sequences of Basic Motions

C Lu, WC Hsu, L Jing - Electronics, 2024 - mdpi.com
For daily motion recognition, each researcher builds their own method to recognize their
own specific target actions. However, for other types of target motions, they cannot use their …

Design of a lightweight and easy‐to‐wear hand glove with multi‐modal tactile perception for digital human

Z Pan, H Ren, C Liu, M Chen… - … Animation and Virtual …, 2024 - Wiley Online Library
Within the field of human–computer interaction, data gloves play an essential role in
establishing a connection between virtual and physical environments for the realization of …

PenSLR: Persian end-to-end Sign Language Recognition Using Ensembling

A Salmankhah, A Rajabi, N Kheirmand… - arXiv preprint arXiv …, 2024 - arxiv.org
Sign Language Recognition (SLR) is a fast-growing field that aims to fill the communication
gaps between the hearing-impaired and people without hearing loss. Existing solutions for …

Performance Evaluation of EfficientNetB0, EfficientNetV2, and MobileNetV3 for American Sign Language Classification

J Hartanto, SM Wijaya… - 2023 8th International …, 2023 - ieeexplore.ieee.org
Sign language is a type of communication system that involves the gestures of our hands
and our facial expressions to communicate with people who are deaf. Unfortunately, it is …

The use of artificial intelligence for sign language recognition in education: from a literature overview to the ISENSE project

J Taborri, P Fornai, E Yeguas-Bolivar… - … on Metrology for …, 2023 - ieeexplore.ieee.org
Common strategies to guarantee the inclusion of d/Deaf students in university are still
absent. Recent studies have demonstrated how innovative technologies, such as artificial …

Development of a Flexible and User-Friendly UI to Visualize the Invisible Pressure Distribution

K Minakawa, K Sato, L Jing - 2024 IEEE Gaming …, 2024 - ieeexplore.ieee.org
In this study, we propose a method to facilitate the observation and analysis of pressure
data. In modern times, research utilizing pressure is advancing in various fields. However …

Human Motion Evaluations Based on Energy Consumption and Joint Angle Similarity

Z Zhang, M Zhai - … on Image Processing and Computer Vision …, 2023 - ieeexplore.ieee.org
This paper presents an evaluation of human motion in handling tasks. A human skeleton
model is built based on the joint nodes recognized with the Azure Kinect DK depth camera …