Algorithm 2: Multipath Convolutional Neural Network
1	Task 1: Learning S-CNN model
2	Input: Raw sensor signals
3	Output: State transition probabilities
4	Step 1: Quantization
5	Step 2: Symbolization
6	Step 3: LZW coding
7	Step 4: PFSA construction
8	Step 5: Obtain state transition probabilities
9	Step 6: S-CNN model training
10	End
11
12	Task 2: Learning D-CNN model
13	Input: Raw sensor signals
14	Output: Classification results
15	Step 1: Feature extraction, gravity and body features
16	Step 2: GMM-GMR model learning
17	Step 3: Data partition and channel fitting
18	Step 4: D-CNN model learning
19	End
20
21	Task 3: Learning MP-CNN
22	Input: Raw sensor signals
23	Output: Classification results
24	Step 1: Model setup (as depicted in Figure 4)
25	Step 2: Exploiting S-CNN and D-CNN as pre-train weights
26	Step 3: MP-CNN training
27	End