Dataset for Deep Gesture Recognition under Data Loss
收藏IEEE2026-04-17 收录
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https://ieee-dataport.org/documents/dataset-deep-gesture-recognition-under-data-loss
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资源简介：
This dataset was collected using the AWR1843BOOST mmWave radar and the DCA1000 raw data acquisition board. It contains 11,161 samples, including 12 gesture classes and 7 human action classes. Data were recorded with multiple participants, repeated approximately 10 times, and captured across eight diverse environments\u2014laboratories, corridors, and outdoor locations. The dataset includes both static and dynamic secondary targets to reflect realistic conditions and support robust gesture-recognition research under data-loss scenarios.
提供机构：
Amin Kajbaf
