9 дек. 2012 г. · Human Activity Recognition database built from the recordings of 30 subjects performing activities of daily living (ADL) while carrying a waist-mounted ...

Human Activity Recognition Project on UCI-HAR dataset. This model predicts human activities such as Walking, Walking_Upstairs, Walking_Downstairs, Sitting, ...

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The Human Activity Recognition Dataset has been collected from 30 subjects performing six different activities (Walking, Walking Upstairs, Walking Downstairs, ...

This data is an addition to an existing dataset on UCI. We collected more data to improve the accuracy of our human activity recognition ...

UCIHAR is one of the most widely used datasets to evaluate performance on time series data. It contains three different sensors namely, accelerometer, ...

The system, tested with data collected in a living space, achieved high accuracy in classifying ADL-related behaviors in continuous events and successfully ...

Human Activity Recognition (HAR) based on inertial data is an increasingly diffused task on embedded devices, from smartphones to ultra low-power sensors. Due ...

31 мая 2014 г. · UCI HAR dataset on “Human Activity Recognition Using Smartphones”“ · download and unzip files · plotting average acceleration for first subject.