SIGMA-ASL is a multimodal dataset with 93,545 word-level ASL clips from Kinect RGB-D, mmWave radar, and dual IMUs, plus benchmarking protocols for single- and multi-modal recognition.
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2026 2verdicts
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CanonSLR uses frontal-view teacher-student distillation and temporal motion enhancement to boost multi-view continuous sign language recognition, backed by new seven-view benchmarks PT14-MV and CSL-MV created from existing single-view datasets.
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SIGMA-ASL: Sensor-Integrated Multimodal Dataset for Sign Language Recognition
SIGMA-ASL is a multimodal dataset with 93,545 word-level ASL clips from Kinect RGB-D, mmWave radar, and dual IMUs, plus benchmarking protocols for single- and multi-modal recognition.
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CanonSLR: Canonical-View Guided Multi-View Continuous Sign Language Recognition
CanonSLR uses frontal-view teacher-student distillation and temporal motion enhancement to boost multi-view continuous sign language recognition, backed by new seven-view benchmarks PT14-MV and CSL-MV created from existing single-view datasets.