ai-posture-monitor

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0.0.16 ai_posture_monitor-0.0.16-py3-none-any.whl

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Project: ai-posture-monitor
Version: 0.0.16
Filename: ai_posture_monitor-0.0.16-py3-none-any.whl
Download: [link]
Size: 33921
MD5: e7555d28d1bce7c589c3da1a363b160e
SHA256: 626b948a16c1c158987904f3760c206f050543ef1771872e9a03b7b4844b2a6b
Uploaded: 2024-12-16 09:08:12 +0000

dist-info

METADATA

Metadata-Version: 2.1
Name: ai_posture_monitor
Version: 0.0.16
Summary: A package designed to predict static pose and detect falls with 2D RGB Camera in well lit indoor environments.
Author: Patrick Ogbuitepu
Author-Email: pat2echo[at]gmail.com
Keywords: Fall Detection,Human Motion Classification,Pose Estimation,Elderly Care,Computer Vision,Machine Learning,Real-time Monitoring,Occlusion Handling,Finite State Machine,Activity Recognition,Elderly Care Technology,Pose Estimation Models,Real-Time Motion Tracking,Occlusion Handling,Static Pose Classification,Fuzzy Logic Systems,Temporal Pose Analysis,Human Pose Detection,Motion Detection Algorithms,Inactivity Monitoring,Rehabilitation Monitoring,Bounding Box Analysis,Multi-Camera Systems,Pose Transition Detection,Computational Intelligence Applications,Human-Centric AI,Assistive Technologies,Vision-Based Health Monitoring,Sensorless Activity Recognition,Human-Computer Interaction (HCI),Machine Learning in Elderly Care,AI for Healthcare Monitoring,Zero False Alarm Systems,Dim Light Pose Recognition,Occlusion Robustness,Home Monitoring Systems
Requires-Dist: numpy
Requires-Dist: opencv-python
Requires-Dist: mediapipe
Requires-Dist: pandas
Requires-Dist: scikit-learn
Requires-Dist: matplotlib
Description-Content-Type: text/markdown
License-File: LICENSE
[Description omitted; length: 996 characters]

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top_level.txt

ai_posture_monitor