{"id":13583949,"url":"https://github.com/aqibsaeed/Human-Activity-Recognition-using-CNN","last_synced_at":"2025-04-06T21:33:32.679Z","repository":{"id":50661535,"uuid":"72857207","full_name":"aqibsaeed/Human-Activity-Recognition-using-CNN","owner":"aqibsaeed","description":"Convolutional Neural Network for Human Activity Recognition in Tensorflow","archived":false,"fork":false,"pushed_at":"2022-11-16T15:41:05.000Z","size":37883,"stargazers_count":474,"open_issues_count":1,"forks_count":220,"subscribers_count":14,"default_branch":"master","last_synced_at":"2025-04-05T00:08:39.696Z","etag":null,"topics":["android","cnn","convolutional-neural-networks","deep-learning","human-activity-recognition","notebook","tensorflow"],"latest_commit_sha":null,"homepage":"","language":"Jupyter Notebook","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"apache-2.0","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/aqibsaeed.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null}},"created_at":"2016-11-04T14:55:05.000Z","updated_at":"2025-03-21T16:06:11.000Z","dependencies_parsed_at":"2023-01-23T11:15:16.213Z","dependency_job_id":null,"html_url":"https://github.com/aqibsaeed/Human-Activity-Recognition-using-CNN","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/aqibsaeed%2FHuman-Activity-Recognition-using-CNN","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/aqibsaeed%2FHuman-Activity-Recognition-using-CNN/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/aqibsaeed%2FHuman-Activity-Recognition-using-CNN/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/aqibsaeed%2FHuman-Activity-Recognition-using-CNN/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/aqibsaeed","download_url":"https://codeload.github.com/aqibsaeed/Human-Activity-Recognition-using-CNN/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":247556850,"owners_count":20958034,"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":["android","cnn","convolutional-neural-networks","deep-learning","human-activity-recognition","notebook","tensorflow"],"created_at":"2024-08-01T15:03:55.203Z","updated_at":"2025-04-06T21:33:32.665Z","avatar_url":"https://github.com/aqibsaeed.png","language":"Jupyter Notebook","funding_links":[],"categories":["Jupyter Notebook"],"sub_categories":[],"readme":"## CNN for Human Activity Recognition\n\n\u003cp\u003e\n\u003ca href=\"https://github.com/aqibsaeed/Human-Activity-Recognition-using-CNN/blob/master/Activity%20Detection.ipynb\"\u003ePython notebook\u003c/a\u003e for blog post \u003ca href=\"http://aqibsaeed.github.io/2016-11-04-human-activity-recognition-cnn/\"\u003eImplementing a CNN for Human Activity Recognition in Tensorflow\u003c/a\u003e.\n\u003c/p\u003e\n\n### Tools Required\n\nPython 2.7 is used during development and following libraries are required to run the code provided in the notebook:\n* Tensorflow\n* Numpy\n* Matplotlib\n* Pandas\n\n### Dataset\n\nThe WISDM Actitracker dataset used for model training, can be downloaded from the following [[link]](http://www.cis.fordham.edu/wisdm/dataset.php)\n\n### Related Problem\n\nUser identification from walking activity. Accelerometer dataset from 22 indivduals can be downloaded from the following [[link]](http://archive.ics.uci.edu/ml/datasets/User+Identification+From+Walking+Activity)\n\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Faqibsaeed%2FHuman-Activity-Recognition-using-CNN","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Faqibsaeed%2FHuman-Activity-Recognition-using-CNN","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Faqibsaeed%2FHuman-Activity-Recognition-using-CNN/lists"}