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Real-Time Sign Language Detection using Human Pose Estimation

arXiv 2008.04637 ↗First posted 11 Aug 2020cs.CV cs.CLcited by 28

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Abstract (arXiv)

We propose a lightweight real-time sign language detection model, as we identify the need for such a case in videoconferencing. We extract optical flow features based on human pose estimation and, using a linear classifier, show these features are meaningful with an accuracy of 80%, evaluated on the DGS Corpus. Using a recurrent model directly on the input, we see improvements of up to 91% accuracy, while still working under 4ms. We describe a demo application to sign language detection in the browser in order to demonstrate its usage possibility in videoconferencing applications.

Key facts. Cited by 28 papers in the map (data through 7 Oct 2026). First posted on arXiv 11 Aug 2020.

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2021: 7; 2022: 3; 2023: 7; 2024: 3; 2025: 5; 2026: 3.

28 papers.

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  1. 2021Including Signed Languages in Natural Language Processingcited by 67
  2. 2023Sign Language Translation from Instructional Videoscited by 39
  3. 2021Sign Language Production: A Reviewcited by 26
  4. 2021Aligning Subtitles in Sign Language Videoscited by 26
  5. 2021Evaluating the Immediate Applicability of Pose Estimation for Sign Language Recognitioncited by 25
  6. 2022Machine Translation between Spoken Languages and Signed Languages Represented in SignWritingcited by 17
  7. 2023Linguistically Motivated Sign Language Segmentationcited by 11
  8. 2021Sign Segmentation with Changepoint-Modulated Pseudo-Labellingcited by 10
  9. 2023HOD: A Benchmark Dataset for Harmful Object Detectioncited by 10
  10. 2022Heatmap Distribution Matching for Human Pose Estimationcited by 9
  11. 2023Motion Capture Dataset for Practical Use of AI-based Motion Editing and Stylizationcited by 9
  12. 2021Fingerspelling Detection in American Sign Languagecited by 7
16 more
  1. 2025Deep Understanding of Sign Language for Sign to Subtitle Alignmentcited by 6
  2. 2025Lost in Translation, Found in Embeddings: Sign Language Translation and Alignmentcited by 6
  3. 2021Phonology Recognition in American Sign Languagecited by 5
  4. 2022WLASL-LEX: a Dataset for Recognising Phonological Properties in American Sign Languagecited by 5
  5. 2024WheelPose: Data Synthesis Techniques to Improve Pose Estimation Performance on Wheelchair Userscited by 5
  6. 2024iSign: A Benchmark for Indian Sign Language Processingcited by 5
  7. 2025SignX: Continuous Sign Recognition in Compact Pose-Rich Latent Spacecited by 3
  8. 2023On the Importance of Signer Overlap for Sign Language Detectioncited by 2
  9. 2026SignSparK: Efficient Multilingual Sign Language Production via Sparse Keyframe Learningcited by 2
  10. 2023ISLTranslate: Dataset for Translating Indian Sign Languagecited by 1
  11. 2025POSESTITCH-SLT: Linguistically Inspired Pose-Stitching for End-to-End Sign Language Translationcited by 1
  12. 2023Aikyam: A Video Conferencing Utility for Deaf and Dumbcited by 0
  13. 2024An Open-Source American Sign Language Fingerspell Recognition and Semantic Pose Retrieval Interfacecited by 0
  14. 2025iLSU-T: an Open Dataset for Uruguayan Sign Language Translationcited by 0
  15. 2026Evaluation of Pose Estimation Systems for Sign Language Translationcited by 0
  16. 2026Toward Signing Activity Projection in Sign Language Interactioncited by 0