Add Malaia et al. 2024 on radar-based sign language corpora#142
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AmitMY
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| where the goal is to determine the spatial configuration of the body at each point in time. | ||
| Although high-quality pose estimation can be achieved using motion capture equipment, such methods are often expensive and intrusive. | ||
| As a result, estimating pose from videos has become the preferred method in recent years [@pose:pishchulin2012articulated;@pose:chen2017adversarial;@pose:cao2018openpose;@pose:alp2018densepose]. | ||
| As a non-intrusive alternative, @malaia-etal-2024-capturing argue that radar sensing can capture 3D articulator motion at high spatial and temporal resolution, preserving depth information lost in 2D video while only recording kinematic parameters and thus inherently protecting signer identity. |
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add a new representation: ###### Radar Sensing
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Cites the SignLang 2024 position paper proposing radar sensing as a non-intrusive, privacy-preserving alternative to motion capture and 2D video for capturing 3D articulator motion in sign language corpora. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
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