ACRAS

The data set is originally used and collected for the Master's thesis `Temporal Segmentation using Support Vector Machines in the context of Human Activity Recognition` by Roemer Vlasveld. DESCRIPTION ----------- This data set contains recording of performed human activities in a real-world setting. The subjects wore a smartphone (in the right front pocket), which was tracking the inertial sensors with an Android application. Among those sensors are - Accelerometer - Magnetic Field - Gyroscope The subjects were recorded with a video camera during the performance. The video recordings were used to annotate activity change points in the inertial data streams. They can be consulted in case of ambiguity. The focus of this data set is on the change points between activities. Although an activity labeling is provided, we advise to not use it directly for activity classification. CONTENTS -------- This package contains the following directories: - */…