CSI-Net：Unified Human Body Characterization and Pose Recognition
建立一種用於WiFi的CSI序列的人體感知的深度學習網絡框架，可以完成：兩種body characterization問題：生物特徵識別（biametrics estimate，包括體脂、肌肉、水和骨骼率）和人員識別（person recognition）和兩種activity recognition：手勢識別和跌倒檢測 網絡結構 網絡分爲三個部分：生成階段、特徵提取階段和任務階段 輸入：網絡的輸
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相關文章
- 1. PoseGait：A model-based gait recognition method with body pose and human prior knowledge
- 2. VIBE: Video Inference for Human Body Pose and Shape Estimation
- 3. Whole-Body Human Pose Estimation in the Wild
- 4. Human Pose Estimation using Global and Local Normalization
- 5. (20) Recurrent Human Pose Estimation
- 6. Simple Baselines for Human Pose Estimation and Tracking
- 7. UniPose: Unified Human Pose Estimation in Single Images and Videos
- 8. Paper Reading:Real-time human pose recognition in parts from single depth images
- 9. Fast Human Pose Estimation
- 10. 3D Human Pose Estimation = 2D Pose Estimation + Matching(2017)