Using random forest to recognize human activity.
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Updated
Sep 19, 2018 - HTML
Using random forest to recognize human activity.
Human Activity Recognition Using Smartphones: Getting and Cleaning Data Course Project
Human Activity Recognition Using Smartphones Dataset
This is a "Practical Machine Learning" course project
Human Activity Recognition Using Smartphones
PUBLIC | FCTUC DEI/LEI 2021/2022 - Licenciatura em Engenharia Informática | ATD - Análise e Transformação de Dados | Projeto: "Smartphone-based Recognition Of Human Activities And Postural Transitions"
Script for Human Activity detection that is based on Kaggle's Human Activity Recognition Dataset Using different methods
A human activity recognition module, which tracks the specific activities of a goalkeeper while training. The extracted data is used for feedback generation.
Human Activity Recognition(HAR) - Case Study : Wearable Computing: Accelerometers’ Data Classification of Body Postures and Movements, using Random forests classifier to quantify and predict best way to do exercise.
Mini-project based on activity detection dataset at UCIML. Checkout branches for latest push.
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