{"id":28167992,"url":"https://github.com/ibrahimcanerdogan/posedetectionapp-mlkit","last_synced_at":"2026-05-01T06:34:19.305Z","repository":{"id":183044934,"uuid":"669516979","full_name":"ibrahimcanerdogan/PoseDetectionApp-MLKit","owner":"ibrahimcanerdogan","description":"Detect Posture in image with ML Kit on Android","archived":false,"fork":false,"pushed_at":"2023-07-22T15:39:04.000Z","size":177,"stargazers_count":1,"open_issues_count":0,"forks_count":1,"subscribers_count":1,"default_branch":"master","last_synced_at":"2025-05-07T19:49:53.138Z","etag":null,"topics":["android","android-aplication","detection","kotlin","mlkit","pose","pose-detection"],"latest_commit_sha":null,"homepage":"https://medium.com/@ibrahimcanerdogan","language":"Kotlin","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/ibrahimcanerdogan.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE.md","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null}},"created_at":"2023-07-22T14:34:09.000Z","updated_at":"2024-04-16T08:47:10.000Z","dependencies_parsed_at":"2023-07-22T15:53:11.239Z","dependency_job_id":null,"html_url":"https://github.com/ibrahimcanerdogan/PoseDetectionApp-MLKit","commit_stats":null,"previous_names":["icanerdogan/posedetectionapp-mlkit","ibrahimcanerdogan/posedetectionapp-mlkit"],"tags_count":1,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ibrahimcanerdogan%2FPoseDetectionApp-MLKit","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ibrahimcanerdogan%2FPoseDetectionApp-MLKit/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ibrahimcanerdogan%2FPoseDetectionApp-MLKit/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ibrahimcanerdogan%2FPoseDetectionApp-MLKit/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/ibrahimcanerdogan","download_url":"https://codeload.github.com/ibrahimcanerdogan/PoseDetectionApp-MLKit/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":254359464,"owners_count":22058116,"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","android-aplication","detection","kotlin","mlkit","pose","pose-detection"],"created_at":"2025-05-15T14:33:38.541Z","updated_at":"2026-05-01T06:34:19.277Z","avatar_url":"https://github.com/ibrahimcanerdogan.png","language":"Kotlin","funding_links":[],"categories":[],"sub_categories":[],"readme":"\u003ch1\u003ePose Detection App\u003c/h1\u003e\n\n\u003cp\u003eWelcome to PoseSnap, your ultimate tool for achieving a perfect posture and a healthier you! Our cutting-edge Posture Detect AI technology brings advanced pose analysis right to your fingertips. With PoseSnap, you can effortlessly assess your body posture from any image in your gallery, gain valuable insights about body angles, and visualize your progress towards a confident and aligned stance.\u003c/p\u003e\n\n\u003ca href=\"https://play.google.com/store/apps/details?id=com.ibrahimcanerdogan.posedetectionapp\"\u003e\u003cimg width=\"90\" height=\"90\" src=\"https://img.icons8.com/?size=512\u0026id=L1ws9zn2uD01\u0026format=png\"/\u003e\u003c/a\u003e\n\n\u003cp\u003eThe ML Kit Pose Detection API is a lightweight versatile solution for app developers to detect the pose of a subject's body in real time from a continuous video or static image. A pose describes the body's position at one moment in time with a set of skeletal landmark points. The landmarks correspond to different body parts such as the shoulders and hips. The relative positions of landmarks can be used to distinguish one pose from another.\u003c/p\u003e\n\n\u003cp\u003eML Kit Pose Detection produces a full-body 33 point skeletal match that includes facial landmarks (ears, eyes, mouth, and nose) and points on the hands and feet. Figure 1 below shows the landmarks looking through the camera at the user, so it's a mirror image. The user's right side appears on the left of the image:\u003c/p\u003e\n\n\u003cimg src=\"https://github.com/icanerdogan/PoseDetectionApp-MLKit/assets/52867508/c1466a8f-ca78-4fc0-869c-253134d9ca5b\"\u003e\n\n\u003cp\u003eML Kit Pose Detection doesn't require specialized equipment or ML expertise in order to achieve great results. With this technology developers can create one of a kind experiences for their users with only a few lines of code.\u003c/p\u003e\n\n\u003cp\u003eThe user's face must be present in order to detect a pose. Pose detection works best when the subject’s entire body is visible in the frame, but it also detects a partial body pose. In that case the landmarks that are not recognized are assigned coordinates outside of the image.\u003c/p\u003e\n\n\u003ch2\u003e Key capabilities \u003c/h2\u003e\n\u003cul\u003e\n\u003cli\u003eCross-platform support Enjoy the same experience on both Android and iOS.\u003c/li\u003e\n\u003cli\u003eFull body tracking The model returns 33 key skeletal landmark points, including the positions of the hands and feet.\u003c/li\u003e\n\u003cli\u003eInFrameLikelihood score For each landmark, a measure that indicates the probability that the landmark is within the image frame. The score has a range of 0.0 to 1.0, where 1.0 indicates high confidence.\u003c/li\u003e\n\u003cli\u003eTwo optimized SDKs The base SDK runs in real time on modern phones like the Pixel 4 and iPhone X. It returns results at the rate of ~30 and ~45 fps respectively. However, the precision of the landmark coordinates may vary. The accurate SDK returns results at a slower framerate, but produces more accurate coordinate values.\u003c/li\u003e\n\u003cli\u003eZ Coordinate for depth analysis This value can help determine whether parts of the users body are in front or behind the users' hips. For more information, see the Z Coordinate section below.\u003c/li\u003e\n\u003c/ul\u003e\n\n\u003ch2\u003e Pose Detection App Preview \u003c/h2\u003e\n\nMain Screen        |  Posture Screen       |  Angle Screen\n:-------------------------:|:-------------------------:|:-------------------------:\n![](https://github.com/icanerdogan/PoseDetectionApp-MLKit/assets/52867508/0eb424c5-e2fe-4663-a466-6ea3759d2b11)  |  ![](https://github.com/icanerdogan/PoseDetectionApp-MLKit/assets/52867508/c50996a5-ef32-4048-95ce-90d7952d27aa) | ![](https://github.com/icanerdogan/PoseDetectionApp-MLKit/assets/52867508/2550b77f-e15b-466c-bd5f-f4fee496ed78)\n\n\u003ch2\u003e LICENSE \u003c/h2\u003e\n\n````\nMIT License\n\nCopyright (c) 2023 İbrahim Can Erdoğan\n\nPermission is hereby granted, free of charge, to any person obtaining a copy\nof this software and associated documentation files (the \"Software\"), to deal\nin the Software without restriction, including without limitation the rights\nto use, copy, modify, merge, publish, distribute, sublicense, and/or sell\ncopies of the Software, and to permit persons to whom the Software is\nfurnished to do so, subject to the following conditions:\n\nThe above copyright notice and this permission notice shall be included in all\ncopies or substantial portions of the Software.\n\nTHE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\nIMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\nFITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE\nAUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\nLIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,\nOUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE\nSOFTWARE.\n```\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fibrahimcanerdogan%2Fposedetectionapp-mlkit","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fibrahimcanerdogan%2Fposedetectionapp-mlkit","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fibrahimcanerdogan%2Fposedetectionapp-mlkit/lists"}