In this project, I built a system that can recognize words communicated using the American Sign Language (ASL). I was provided a preprocessed dataset of tracked hand and nose positions extracted from video. My goal was to train a set of Hidden Markov Models (HMMs) using part of this datase...
Deaf signers who wish to communicate in their native language frequently share videos on the Web. However, videos cannot preserve privacy—as is often desirable for discussion of sensitive topics—since both hands and face convey critical linguistic information and therefore cannot be obscured without ...
摘要: Sign language recognition (SLR) has long been plagued by insufficient model representation capabilities. Although current pre-training approaches have alleviated this dilemma to some extent and yie...关键词: Semantics Sign language Task analysis Assistive technologies Feature extraction Self-...
Sign Language Recognition is a breakthrough for communication among deaf-mute society and has been a critical research topic for years. Although some of the previous studies have successfully recognized sign language, it requires many costly instruments
Pose-Guided Sign Language Video GAN with Dynamic Lambda We propose a novel approach for the synthesis of sign language videos using GANs. We extend the previous work of Stoll et al. by using the human semantic parser of the Soft-Gated Warping-GAN from to produce photorealistic videos guided ...
Real-Time American Sign Language Recognition Using Desk and Wearable Computer Based Video. IEEE Trans. Pattern Anal. Mach. Intell. 1998, 20, 1371–1375. [Google Scholar] [CrossRef] Stokoe, W.C. Sign Language Structure: An Outline of the Visual Communication Systems of the American Deaf; ...
The proposed network architecture consists of a generator that recognizes sign language glosses by extracting spatial and temporal features from video sequences, as well as a discriminator that evaluates the quality of generator predictions by modeling textual information at the level of sentences and ...
https://github.com/harvitronix/five-video-classification-methods Oscar Koller from RWTH Aachen provided an excellent overview of state-of-the-art research on sign language recognition, including his paper on Sign Language Translation (2018) https://www-i6.informatik.rwth-aachen.de/publications/downl...
Video remote interpreting for deaf sign language users "It's good for them but not so for me": Inside the sign language interpreting call centreA stakeholder advisory group was established with representatives from key stakeholder groups including NABS, Deaf Australia (the representative body for Aus...
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