https://github.com/matchy233/mham
🏃2023 spring Mobile Health and Activity Monitoring
https://github.com/matchy233/mham
activity-recognition device-location step-counter wearable-devices
Last synced: 4 days ago
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🏃2023 spring Mobile Health and Activity Monitoring
- Host: GitHub
- URL: https://github.com/matchy233/mham
- Owner: matchy233
- Created: 2023-03-14T20:43:34.000Z (about 3 years ago)
- Default Branch: master
- Last Pushed: 2023-05-20T18:56:15.000Z (about 3 years ago)
- Last Synced: 2025-02-17T18:50:10.401Z (over 1 year ago)
- Topics: activity-recognition, device-location, step-counter, wearable-devices
- Language: Jupyter Notebook
- Homepage: https://teaching.siplab.org/mobile_health_activity_monitoring/2023/course
- Size: 37.6 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# Mobile Health and Activity Monitoring
## File structure
```python
/
├── docs # Documents
│ └── mhealth23_exercise.pdf ### Exercise description
├── img # Images used in this README
├── submission # Notebooks and py file for submission
│ ├── group24_pathdetection.ipynb
│ └── group24_stepcount.ipynb
├── task2 # Task2 related files
│ ├── .gitignore
│ ├── README.md ### Instructions for task2 submission
│ └── trace_postproc.py ### Trace postprocessing script
├── mapzurich.png
├── example.ipynb
├── path_detection.ipynb # Path detection script (workspace!)
├── step_count.ipynb # Step count notebook (workspace)
└── README.md
```
## Things to notice for collaboration
* Mind your commit message format
* This repo adopts the [Conventional Commits](https://www.conventionalcommits.org/en/v1.0.0/) format
* The commit message should be meaningful and informative (describing what you have done)
* The `master` branch is **protected**, you **should not** (and **cannot**) push to it directly
* ALWAYS create a new branch for your work
* Make a pull request to merge your branch to `master`
* You need at least one approval from your teammates to merge your branch to `master`
* After merging, delete your branch
## Working on Kaggle
The following docs from Kaggle are useful. Note that Kaggle can only import
*a certain file* instead of the whole repo from GitHub.
* [Import GitHub code from GitHub to Kaggle](https://www.kaggle.com/product-feedback/221448)
* [Save Notebooks (and commit directly) from Kaggle to GitHub](https://www.kaggle.com/product-feedback/295170)
Before you import the notebooks from GitHub, always bear in mind that
**the `master` branch is protected**. You cannot push to it directly. Thus,
to save and sync your work on Kaggle to GitHub, it is recommended to create a
new branch first and make edits on that branch.
**Note**: It is not recommended to modify the notebooks in `submission` directory
because they are used for submission. The recommended workspace notebooks are
the ones located directly in the root directory. For subtask 1, use `step_count.ipynb`.
For subtask 3, use `path_detection.ipynb`.
Note that Kaggle might automatically change the underscore (`_`) in the file name into
minus(`-`), which results in two almost identical files appearing on GitHub.
You can also use `example.ipynb` as a starting point since it is the workspace
provided by the TAs.
In order to add data, the **Add Data** button is located in the notebook
settings (which is hidden in at the bottom right cornor of the page, see the
screenshot below).
### Special instructions for Subtask 1
After importing the notebook you wish to work on, add the
"**Mobile Health 2023 - Step Count**" dataset and (if you want to use our
self-recorded step count dataset) the "**pigwalk**" dataset to your Kaggle
notebook.
### Special instructions for Subtask 3
After importing the notebook you wish to work on, add the
"**Mobile Health 2023 - Path detection Submission**" dataset and the "**mham_task2_submission**" dataset to your Kaggle notebook.
## Useful links
- [Course webpage](https://teaching.siplab.org/mobile_health_activity_monitoring/2023/course)
- Kaggle competitions
- [Task 1: Step count](https://www.kaggle.com/competitions/mobile-health-2023-step-count)
- [Task 3: Path detection](https://www.kaggle.com/competitions/mobile-health-2023-path-detection)
- [Resource GitLab link](https://gitlab.ethz.ch/siplab/mobile-health-and-activity-monitoring-2023-exercise/-/tree/main/)
- Polybox submission links
- [Task 1](https://polybox.ethz.ch/index.php/s/7dpXGqbWceT2ybe)
- [Task 2](https://polybox.ethz.ch/index.php/s/aJoQiMqgwtYpPAB)
- [Task 3](https://polybox.ethz.ch/index.php/s/Z9HGYp0hfmjTVlL)