human behavior recognition using WiFi CSI: challenges and opportunities
西北大學陳曉江老師團隊發表在2017 IEEE Communications Magazine的文章。他們團隊最近幾年在無線感知領域和普適九計算領域取得很多優秀成果。下面是我對這篇論文的一個簡單理解和總結。 本文把基於WiFi信號的人體動作識別歸爲兩類：基於fingerprint，基於模型。這兩類的區分就是是否需要提前訓練。前者不需要訓練，後者需要大量數據進行訓練。 ***************
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相關文章
- 1. Deep learning for sensor-based human activity recognition: overview, challenges and opportunities
- 2. CSI-Net：Unified Human Body Characterization and Pose Recognition
- 3. 閱讀筆記：Understanding and Modeling of WiFi Signal Based Human Activity Recognition
- 4. Human Activities and Phase of CSI
- 5. Automatic Extraction of Personality from Text Challenges and Opportunities 閱讀筆記
- 6. E-eyes: Device-free Location-oriented Activity Identification Using Fine-grained WiFi Signatures 筆記
- 7. Image Recognition Using Edge Detection
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- 10. Human Action Recognition Using a Modified Convolutional Neural Network(經典文獻閱讀)