Sign Language Recognition
By H. Cooper, Brian Holt, Richard Bowden. Visual Analysis of Humans, 2011
425 citations recorded by the source corpus.
Subfields: Cognitive Neuroscience, Developmental and Educational Psychology, Human-Computer Interaction
View Paper: https://www.semanticscholar.org/paper/258fc3e47f36d0ba3a7f6bcdf6f97bc2f293255d
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Cognitive Neuroscience
- Oscar Koller
- Meredith Ringel Morris
- Richard Bowden
- Hernisa Kacorri
- Simon Hadfield
- Naomi K. Caselli
- Necati Cihan Camgöz
In Developmental and Educational Psychology
- Oscar Koller
- Necati Cihan Camgöz
- Richard Bowden
- Simon Hadfield
- Hermann Ney
- Christian Vogler
- Naomi K. Caselli
- Hamid Reza Vaezi Joze
In Human-Computer Interaction
- Oscar Koller
- Necati Cihan Camgöz
- Richard Bowden
- Simon Hadfield
- Hermann Ney
- Meredith Ringel Morris
- Hernisa Kacorri
- Hamid Reza Vaezi Joze
Citations in the corpus
- Multi-layered gesture recognition with Kinect (2015, methodology): “Keywords: gesture recognition, Kinect, linguistic characters, multi-layered classification, principle motion, dynamic time warping”
- SubUNets: End-to-End Hand Shape and Continuous Sign Language Recognition (2017, background): “This is due to its multi-channel nature [11], and the large amounts of expert linguistic knowledge available.”
- Sign Language Transformers: Joint End-to-End Sign Language Recognition and Translation (2020, background): “The end goal of computational sign language research is to build translation and production systems [16], that are capable of translating sign language videos to spoken language sentences and vice versa, to ease the daily lives of the Deaf [15, 6].”
- Sign Language Recognition, Generation, and Translation: An Interdisciplinary Perspective (2019, background): “d circuit [48]. Since then, many other systems have been built for “intrusive sign recognition,” where signers are required to wear gloves, clothing, or other sensors to facilitate recognition (e.g., [23,40,81,91,27]). Non-intrusive vision-based sign language recognition is the current dominant appr”
- Continuous sign language recognition: Towards large vocabulary statistical recognition systems handling multiple signers (2015, background): “[6] Cooper, H.”
- Neural Sign Language Translation (2018, background): “Therefore, the numerous advances in SLR [15] and even the move to the challenging Continuous SLR (CSLR) [33, 36] problem, do not allow us to provide meaningful interpretations”