[HTML][HTML] Artificial intelligence technologies for sign language

I Papastratis, C Chatzikonstantinou, D Konstantinidis… - Sensors, 2021 - mdpi.com
AI technologies can play an important role in breaking down the communication barriers of
deaf or hearing-impaired people with other communities, contributing significantly to their …

A systematic review of human activity recognition based on mobile devices: overview, progress and trends

Y Yin, L **e, Z Jiang, F **ao, J Cao… - … Surveys & Tutorials, 2024 - ieeexplore.ieee.org
Due to the ever-growing powers in sensing, computing, communicating and storing, mobile
devices (eg, smartphone, smartwatch, smart glasses) become ubiquitous and an …

Llms are good sign language translators

J Gong, LG Foo, Y He… - Proceedings of the …, 2024 - openaccess.thecvf.com
Abstract Sign Language Translation (SLT) is a challenging task that aims to translate sign
videos into spoken language. Inspired by the strong translation capabilities of large …

Towards generalized mmwave-based human pose estimation through signal augmentation

H Xue, Q Cao, C Miao, Y Ju, H Hu, A Zhang… - Proceedings of the 29th …, 2023 - dl.acm.org
The unprecedented advance of wireless human sensing is enabled by the proliferation of
the deep learning techniques, which, however, rely heavily on the completeness and …

Gesture recognition of RGB and RGB-D static images using convolutional neural networks

RG Crespo, E Verdú, M Khari, AK Garg - IJIMAI, 2019 - dialnet.unirioja.es
In this era, the interaction between Human and Computers has always been a fascinating
field. With the rapid development in the field of Computer Vision, gesture based recognition …

Human activity recognition using smartphones with WiFi signals

G Lin, W Jiang, S Xu, X Zhou, X Guo… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
In this article, we present a work using a smartphone with an off-the-shelf WiFi router for
human activity recognition with various scales. The router serves as a hotspot for …

Hear sign language: A real-time end-to-end sign language recognition system

Z Wang, T Zhao, J Ma, H Chen, K Liu… - IEEE Transactions …, 2020 - ieeexplore.ieee.org
Sign language recognition (SLR) bridges the communication gap between the hearing-
impaired and the ordinary people. However, existing SLR systems either cannot provide …

mmasl: Environment-independent asl gesture recognition using 60 ghz millimeter-wave signals

PS Santhalingam, AA Hosain, D Zhang… - Proceedings of the …, 2020 - dl.acm.org
Home assistant devices such as Amazon Echo and Google Home have become
tremendously popular in the last couple of years. However, due to their voice-controlled …

Signring: Continuous american sign language recognition using imu rings and virtual imu data

J Li, L Huang, S Shah, SJ Jones, Y **… - Proceedings of the …, 2023 - dl.acm.org
Sign language is a natural language widely used by Deaf and hard of hearing (DHH)
individuals. Advanced wearables are developed to recognize sign language automatically …

Multimodal fusion framework based on statistical attention and contrastive attention for sign language recognition

J Zhang, Q Wang, Q Wang… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Sign language recognition (SLR) enables hearing-impaired people to better communicate
with able-bodied individuals. The diversity of multiple modalities can be utilized to improve …