{"id":19595257,"url":"https://github.com/matchy233/mham","last_synced_at":"2026-06-09T01:04:56.769Z","repository":{"id":174410835,"uuid":"614071443","full_name":"matchy233/mham","owner":"matchy233","description":"🏃2023 spring Mobile Health and Activity Monitoring","archived":false,"fork":false,"pushed_at":"2023-05-20T18:56:15.000Z","size":39465,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"master","last_synced_at":"2025-02-17T18:50:10.401Z","etag":null,"topics":["activity-recognition","device-location","step-counter","wearable-devices"],"latest_commit_sha":null,"homepage":"https://teaching.siplab.org/mobile_health_activity_monitoring/2023/course","language":"Jupyter Notebook","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/matchy233.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2023-03-14T20:43:34.000Z","updated_at":"2023-06-11T10:48:01.000Z","dependencies_parsed_at":"2023-07-26T19:30:20.250Z","dependency_job_id":null,"html_url":"https://github.com/matchy233/mham","commit_stats":null,"previous_names":["matchy233/mham"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/matchy233%2Fmham","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/matchy233%2Fmham/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/matchy233%2Fmham/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/matchy233%2Fmham/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/matchy233","download_url":"https://codeload.github.com/matchy233/mham/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":240868330,"owners_count":19870586,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["activity-recognition","device-location","step-counter","wearable-devices"],"created_at":"2024-11-11T08:46:19.194Z","updated_at":"2026-06-09T01:04:51.729Z","avatar_url":"https://github.com/matchy233.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Mobile Health and Activity Monitoring\n\n## File structure\n\n```python\n/\n├── docs                           # Documents\n│   └── mhealth23_exercise.pdf     ### Exercise description\n├── img                            # Images used in this README\n├── submission                     # Notebooks and py file for submission\n│   ├── group24_pathdetection.ipynb\n│   └── group24_stepcount.ipynb\n├── task2                          # Task2 related files\n│   ├── .gitignore\n│   ├── README.md                  ### Instructions for task2 submission\n│   └── trace_postproc.py          ### Trace postprocessing script\n├── mapzurich.png\n├── example.ipynb\n├── path_detection.ipynb              # Path detection script (workspace!)\n├── step_count.ipynb               # Step count notebook (workspace)\n└── README.md\n```\n\n## Things to notice for collaboration\n\n* Mind your commit message format\n  * This repo adopts the [Conventional Commits](https://www.conventionalcommits.org/en/v1.0.0/) format\n  * The commit message should be meaningful and informative (describing what you have done)\n* The `master` branch is **protected**, you **should not** (and **cannot**) push to it directly\n  * ALWAYS create a new branch for your work\n  * Make a pull request to merge your branch to `master`\n  * You need at least one approval from your teammates to merge your branch to `master`\n  * After merging, delete your branch\n\n## Working on Kaggle\n\nThe following docs from Kaggle are useful. Note that Kaggle can only import\n*a certain file* instead of the whole repo from GitHub.\n\n* [Import GitHub code from GitHub to Kaggle](https://www.kaggle.com/product-feedback/221448)\n* [Save Notebooks (and commit directly) from Kaggle to GitHub](https://www.kaggle.com/product-feedback/295170)\n\nBefore you import the notebooks from GitHub, always bear in mind that\n**the `master` branch is protected**. You cannot push to it directly. Thus,\nto save and sync your work on Kaggle to GitHub, it is recommended to create a\n new branch first and make edits on that branch.\n\n**Note**: It is not recommended to modify the notebooks in `submission` directory\nbecause they are used for submission. The recommended workspace notebooks are\n the ones located directly in the root directory. For subtask 1, use `step_count.ipynb`.\nFor subtask 3, use `path_detection.ipynb`.\n\nNote that Kaggle might automatically change the underscore (`_`) in the file name into\n minus(`-`), which results in two almost identical files appearing on GitHub.\n\nYou can also use `example.ipynb` as a starting point since it is the workspace\n provided by the TAs.\n\nIn order to add data, the **Add Data** button is located in the notebook\n settings (which is hidden in at the bottom right cornor of the page, see the\n screenshot below).\n\n![Where to find Kaggle notebook settings](img/where-to-find-kaggle-notebook-settings.png)\n\n### Special instructions for Subtask 1\n\nAfter importing the notebook you wish to work on, add the\n\"**Mobile Health 2023 - Step Count**\" dataset and (if you want to use our\n self-recorded step count dataset) the \"**pigwalk**\" dataset to your Kaggle\n notebook.\n\n### Special instructions for Subtask 3\n\nAfter importing the notebook you wish to work on, add the\n\"**Mobile Health 2023 - Path detection Submission**\" dataset and the \"**mham_task2_submission**\" dataset to your Kaggle  notebook.\n\n## Useful links\n\n- [Course webpage](https://teaching.siplab.org/mobile_health_activity_monitoring/2023/course)\n- Kaggle competitions\n  - [Task 1: Step count](https://www.kaggle.com/competitions/mobile-health-2023-step-count)\n  - [Task 3: Path detection](https://www.kaggle.com/competitions/mobile-health-2023-path-detection)\n- [Resource GitLab link](https://gitlab.ethz.ch/siplab/mobile-health-and-activity-monitoring-2023-exercise/-/tree/main/)\n- Polybox submission links\n  - [Task 1](https://polybox.ethz.ch/index.php/s/7dpXGqbWceT2ybe)\n  - [Task 2](https://polybox.ethz.ch/index.php/s/aJoQiMqgwtYpPAB)\n  - [Task 3](https://polybox.ethz.ch/index.php/s/Z9HGYp0hfmjTVlL)\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmatchy233%2Fmham","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fmatchy233%2Fmham","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmatchy233%2Fmham/lists"}