---
# System prepended metadata

title: 2020/03/03 Minutes of Meeting
tags: [IOT]

---

# 2020/03/03 Minutes of Meeting
###### tags: `IOT`

## Daily Report
### Peter
1. **To-do from last week**:
    experiment with the C_LSTM
3. **Experiment setup**:
    training set : testing set = 5 : 1
    ![](https://i.imgur.com/ShOoNPU.png)
    Set 5 seconds (2500 sample points) as the window width.
    If there is only normal signal or noisy signal in one sample  window, this sample window will be saved for training.
    If there are both noisy signal and normal signal in one sample window, this sample window will be dropped out.
5. **Results**:
confusion matrix 還沒有畫好
7. **Discussion:**
confusion matrix 畫出來
把實驗流程也放出來做一整份 slide 

### Yoyo 
1. **To-do from last week**: 
    Improve landmark detection algorithm or change method.
2. **Experiment setup**:X
3. **Results:** 
    Decided to try regression method.
4. **Discussion:** 
    - Prepare (1)Code and (2)Data for AIforTCM class.
    - Lab server is down, cannot retrieve previous data on server for now, asking other lab students for copy of the code.

### 鎧元
1. **To-do from last week**:將論文送潤稿
2. **Experiment setup**: 無
3. **Results**:根據潤稿的結果修改至論文第四章了
4. **Disscuison**:電腦燒掉的問題已經請廠商修理，結果要等廠商評估後才知道
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## Weekly Report
### Harry
1. **To-do from last week**:
    * 尋找Moving Average Filter的Window Size設置之相關文獻
    * 跟蕭老師借用PSG以確認15秒的呼吸訊號
2. **Experiment setup**:
3. **Results**:
4. **Discussion**:

### 李謙
1. **To-do from last week**:
    * 找方法判別老師(楊老師)與學生(ROY)之間的差異
    * 學習ML的相關知識
2. **Experiment setup**:
3. **Results**:
    * 觀察肩膀、盆骨角速度與角度之變化圖差異不明顯
4. **Discussion:**:
    * 老師與學生動作差異在落跨，即學生的腳較大幅度移動
    =>針對這點重新自己做實驗測試差異性
        

### Daniel
1. **To-do from last week**:
    * 了解camera與Pixhawk連接、通訊控制方式、更新架構圖
2. **Experiment setup**:
    * 查文章及資料
3. **Results**:
    * 繪製車子內部規劃圖
4. **Discussion:**:
    * 相機的位置可能會出現照不到環境，需納入考慮項目
    * 信號是否出現遮蔽
    * GPS要修改位置
    * 儘快找元件組裝車子、元件照片

### Cathy
1. **To-do from last week**:
    * 搜尋相關RR interval的ML文獻並且彙整成表
    * 修改論文
    * 準備口試Slide
2. **Experiment setup**:
3. **Results**:
    * Acc>99%共有三篇，Model分別為convPool-CNN、BLSTM-Attention、LSTM-Inception
4. **Disscuison**:
    * 決定先使用LSTM-LSTM-Inception
