ADANet GestureMotion: Human Accelerometer Dataset for Real-Time Gesture Recognition
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下载链接：
https://ieee-dataport.org/documents/adanet-gesturemotion-human-accelerometer-dataset-real-time-gesture-recognition
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资源简介：
This dataset comprises high-resolution 3-axis accelerometer recordings collected from human participants performing distinct hand gestures, intended for training gesture-based assistive interfaces. Each participant’s raw motion signals are individually organized, enabling both user-specific and generalizable model development. The dataset includes time-series accelerometer data, along with a feature-augmented version containing extracted statistical and temporal descriptors such as RMS, Jerk, Entropy, and SMA.
提供机构：
Haque, MD Ettashamul; Hasan, Md Mehedi; Tajwar, Atique
