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[HTML][HTML] Artificial intelligence technologies for sign language
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 …
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
Due to the ever-growing powers in sensing, computing, communicating and storing, mobile
devices (eg, smartphone, smartwatch, smart glasses) become ubiquitous and an …
devices (eg, smartphone, smartwatch, smart glasses) become ubiquitous and an …
Llms are good sign language translators
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 …
videos into spoken language. Inspired by the strong translation capabilities of large …
Towards generalized mmwave-based human pose estimation through signal augmentation
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 …
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
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 …
field. With the rapid development in the field of Computer Vision, gesture based recognition …
Human activity recognition using smartphones with WiFi signals
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 …
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
Sign language recognition (SLR) bridges the communication gap between the hearing-
impaired and the ordinary people. However, existing SLR systems either cannot provide …
impaired and the ordinary people. However, existing SLR systems either cannot provide …
mmasl: Environment-independent asl gesture recognition using 60 ghz millimeter-wave signals
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 …
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
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 …
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 …
with able-bodied individuals. The diversity of multiple modalities can be utilized to improve …