Neural Sign Language Translation Based on Human Keypoint Estimation [PDF]
Applied Sciences, 2019 We propose a sign language translation system based on human keypoint estimation. It is well-known that many problems in the field of computer vision require a massive dataset to train deep neural network models. The situation is even worse when it comes
Sang-Ki Ko +3 more
doaj +4 more sources
American Sign Language Translation Using Wearable Inertial and Electromyography Sensors for Tracking Hand Movements and Facial Expressions [PDF]
Frontiers in Neuroscience, 2022 A sign language translation system can break the communication barrier between hearing-impaired people and others. In this paper, a novel American sign language (ASL) translation method based on wearable sensors was proposed.
Yutong Gu +3 more
doaj +2 more sources
Neural Sign Language Translation [PDF]
2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2018 Sign Language Recognition (SLR) has been an active research field for the last two decades. However, most research to date has considered SLR as a naive gesture recognition problem. SLR seeks to recognize a sequence of continuous signs but neglects the underlying rich grammatical and linguistic structures of sign language that differ from spoken ...
Necati Cihan Camgöz +4 more
openaire +6 more sources
Preprocessing for Keypoint-Based Sign Language Translation without Glosses [PDF]
Sensors, 2023 While machine translation for spoken language has advanced significantly, research on sign language translation (SLT) for deaf individuals remains limited. Obtaining annotations, such as gloss, can be expensive and time-consuming.
Youngmin Kim, Hyeongboo Baek
doaj +2 more sources
Leveraging Frozen Pretrained Written Language Models for Neural Sign Language Translation
Information, 2022 We consider neural sign language translation: machine translation from signed to written languages using encoder–decoder neural networks. Translating sign language videos to written language text is especially complex because of the difference in ...
Mathieu De Coster, Joni Dambre
doaj +3 more sources
A large scale multimodal dataset for healthcare domain Ghanaian sign language translation and retrieval based synthesis [PDF]
Scientific ReportsDespite rapid advancements in AI-driven language processing tools, sign languages across Africa, including Ghanaian Sign Language (GhSL), remain critically underrepresented.
Emmanuel Ahene +10 more
doaj +2 more sources
A dynamic Malaysian sign language dataset for sign language recognition and translationZenodoZenodo [PDF]
Data in BriefSign languages all around the world are unique and diverse. Each sign language shows the differences in cultural nuances of its origin locale giving it is distinctive nature.
Yuan Ting Chong +6 more
doaj +2 more sources
A survey on Sign Language machine translation
Expert Systems With Applications, 2023 Sign Languages (SLs) are employed by deaf and hard-of-hearing (DHH) people to communicate on a daily basis. However, the communication with hearing people still faces some barriers, mainly because of the scarce knowledge about SLs among hearing people.
Olatz Perez De Viñaspre +2 more
exaly +3 more sources
ADAT novel time-series-aware adaptive transformer architecture for sign language translation [PDF]
Scientific ReportsCurrent sign language machine translation systems rely on recognizing hand movements, facial expressions, and body postures, and natural language processing, to convert signs into text.
Nada Shahin, Leila Ismail
doaj +2 more sources
Towards a Lightweight Arabic Sign Language Translation System [PDF]
SensorsThere is a pressing need to build a sign-to-text translation system to simplify communication between deaf and non-deaf people. This study investigates the building of a high-performance, lightweight sign language translation system suitable for real ...
Mohammed Algabri +3 more
doaj +2 more sources