This is an example of human activity recognition using UCI HAR dataset.
The model was built with Inception structures.
Input
|
|
Conv
/ | \
/ | \
Conv Conv Maxpool
\ | /
\ | /
Concat
|
Conv
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Dense
|
Dense
|
Softmax
The example implementation is based on RT-THREAD.
You will need to download the dataset before doing the test.
Linux user:
- run data/download_dataset.py to download the UCI HAR dataset
Windows user:
- download dataset from [here](https://archive.ics.uci.edu/ml/machine-learning-databases/00240/UCI HAR Dataset.zip)
- unzip the file to this folder. Which will looks like
data/UCI HAR Dataset/...
Copy all scripts from nnom/scripts/*
into this folder.
Dependancy:
In RT-Thread, you must open the support for Y-modem.