diff --git a/src/index.md b/src/index.md index 21ead94..2289bdc 100644 --- a/src/index.md +++ b/src/index.md @@ -192,6 +192,10 @@ As a result, estimating pose from videos has become the preferred method in rece Compared to video representations, accurate skeletal poses have a lower complexity and provide a semi-anonymized representation of the human body, while observing relatively low information loss. However, they remain a continuous, multidimensional representation that is not adapted to most NLP models. +###### Radar Sensing {-} +captures 3D articulator motion through electromagnetic returns rather than visual frames, recording only kinematic parameters and thus inherently protecting signer identity. +@malaia-etal-2024-capturing argue that radar can capture sign language motion at high spatial and temporal resolution, preserving depth information lost in 2D video as a non-intrusive alternative to motion capture. + ###### Written notation systems {-} represent signs as discrete visual features. Some systems are written linearly, and others use graphemes in two dimensions. While various universal [@writing:sutton1990lessons;@writing:prillwitz1990hamburg] and language-specific notation systems [@writing:stokoe1960sign;@writing:kakumasu1968urubu;@writing:bergman1977tecknad] have been proposed, diff --git a/src/references.bib b/src/references.bib index 226750a..ce148e3 100644 --- a/src/references.bib +++ b/src/references.bib @@ -4711,3 +4711,23 @@ @inproceedings{schulder-etal-2024-signs url = {https://aclanthology.org/2024.signlang-1.38}, year = {2024} } + +@inproceedings{malaia-etal-2024-capturing, + title = "Capturing Motion: Using Radar to Build Better Sign Language Corpora", + author = "Malaia, Evie and + Borneman, Joshua and + Gurbuz, Sevgi", + editor = "Efthimiou, Eleni and + Fotinea, Stavroula-Evita and + Hanke, Thomas and + Hochgesang, Julie A. and + Mesch, Johanna and + Schulder, Marc", + booktitle = "Proceedings of the LREC-COLING 2024 11th Workshop on the Representation and Processing of Sign Languages: Evaluation of Sign Language Resources", + month = may, + year = "2024", + address = "Torino, Italia", + publisher = "ELRA and ICCL", + url = "https://aclanthology.org/2024.signlang-1.23/", + pages = "213--218" +}