Signbuddy: from sign language research to scalable co-created solutions

No abstract is available for this paper.

• Publication year

  2026

• Venue

  Universal Access in the Information Society

• Publication date

  2026-02-20

• Fields of study

  Not labeled

• Identifiers
  DOI 10.1007/s10209-026-01310-1
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

• Co-creation for Sign Language Processing and Machine Translation

  2025cited by this paper
• Co-Creation for Sign Language Processing and Translation Technology

  2025cited by this paper
• The EASIER Mobile Application and Avatar End-User Evaluation Methodology

  2024cited by this paper
• Lessons in co-creation: the inconvenient truths of inclusive sign language technology development

  2024cited by this paper
• Hamba: Single-view 3D Hand Reconstruction with Graph-guided Bi-Scanning Mamba

  2024cited by this paper
• Sign2GPT: Leveraging Large Language Models for Gloss-Free Sign Language Translation

  2024cited by this paper
• Systemic Biases in Sign Language AI Research: A Deaf-Led Call to Reevaluate Research Agendas

  2024cited by this paper
• ASL Citizen: A Community-Sourced Dataset for Advancing Isolated Sign Language Recognition

  2023cited by this paper
• PopSign ASL v1.0: An Isolated American Sign Language Dataset Collected via Smartphones

  2023cited by this paper
• From Scarcity to Understanding: Transfer Learning for the Extremely Low Resource Irish Sign Language

  2023cited by this paper
• Reconstructing Hands in 3D with Transformers

  2023cited by this paper
• Best practices for sign language technology research

  2023cited by this paper
• Sign Language-to-Text Dictionary with Lightweight Transformer Models

  2023cited by this paper
• Querying A Sign Language Dictionary with Videos Using Dense Vector Search

  2023influential reference
• Towards the extraction of robust sign embeddings for low resource sign language recognition

  2023cited by this paper
• Sign Language Recognition via Deformable 3D Convolutions and Modulated Graph Convolutional Networks

  2023cited by this paper
• SignBERT+: Hand-Model-Aware Self-Supervised Pre-Training for Sign Language Understanding

  2023cited by this paper
• Machine translation from signed to spoken languages: state of the art and challenges

  2022cited by this paper
• Two-Stream Network for Sign Language Recognition and Translation

  2022cited by this paper
• A Simple Multi-Modality Transfer Learning Baseline for Sign Language Translation

  2022cited by this paper
• Moving towards a Functional Approach in the Flemish Sign Language Dictionary Making Process

  2022cited by this paper
• Teaching Chinese Sign Language with a Smartphone

  2021cited by this paper
• Evaluating the Immediate Applicability of Pose Estimation for Sign Language Recognition

  2021cited by this paper
• Cornerstone network with feature extractor: a metric-based few-shot model for chinese natural sign language

  2021cited by this paper
• CopyCat: Using Sign Language Recognition to Help Deaf Children Acquire Language Skills

  2021cited by this paper
• Is “good enough” good enough? Ethical and responsible development of sign language technologies

  2021cited by this paper
• Effect of Sign-recognition Performance on the Usability of Sign-language Dictionary Search

  2021cited by this paper
• Do deaf communities actually want sign language gloves?

  2020cited by this paper
• Sign Language Recognition, Generation, and Translation: An Interdisciplinary Perspective

  2019cited by this paper
• Recognizing American Sign Language Gestures from Within Continuous Videos

  2018cited by this paper
• Signbank: Software to Support Web Based Dictionaries of Sign Language

  2018cited by this paper
• Looking back while moving forward : the impact of societal and technological developments on Flemish sign language lexicographic practices

  2018cited by this paper
• Neural Sign Language Translation

  2018cited by this paper
• Attention is All you Need

  2017cited by this paper
• Re-Sign: Re-Aligned End-to-End Sequence Modelling with Deep Recurrent CNN-HMMs

  2017cited by this paper
• Realtime Multi-person 2D Pose Estimation Using Part Affinity Fields

  2016cited by this paper
• Deep Sign: Hybrid CNN-HMM for Continuous Sign Language Recognition

  2016cited by this paper
• Het Corpus VGT. Een digitaal open access corpus van videos and annotaties van Vlaamse Gebarentaal, ontwikkeld aan de Universiteit Gent ism KU Leuven.

  2015influential reference
• Neural Machine Translation by Jointly Learning to Align and Translate

  2014cited by this paper
• CopyCat: An American Sign Language game for deaf children

  2011cited by this paper
• SMILE: an immersive learning game for deaf and hearing children

  2007cited by this paper
• University

  2006cited by this paper
• One-shot learning of object categories

  2006cited by this paper
• How Do Profoundly Deaf Children Learn to Read?

  2001cited by this paper
• Lexical Borrowing in American Sign Language

  1978cited by this paper
• Sign language structure: an outline of the visual communication systems of the American deaf. 1960.

  1961cited by this paper

• No citing papers are available for this paper.