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GitHub / XUNIK8 / Human-Activity-Recognition-Based-on-Machine-Learning

机器学习实现基于手机六轴数据的人体动作识别和计数功能。并利用云服务器和微信小程序在手机上实现。 Use machine learning to achieve human activity recognition and counting function based on cell phone six-axis data. Achieve it on phone using ECS and WeChat mini-program.

JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/XUNIK8%2FHuman-Activity-Recognition-Based-on-Machine-Learning

Stars: 11
Forks: 0
Open issues: 0

License: apache-2.0
Language: Jupyter Notebook
Size: 16.9 MB
Dependencies parsed at: Pending

Created at: almost 5 years ago
Updated at: over 2 years ago
Pushed at: over 2 years ago
Last synced at: about 2 years ago

Topics: classification-algorithm, ecs-service, flask-application, human-action-recognition, machine-learning, wechat-mini-program

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