Run_or_walk_information
OpenML dataset with id 40922
Author name not available (Why is that?)
Full work available at URL: https://api.openml.org/data/v1/download/16788738/Run_or_walk_information.arff
Upload date: 26 September 2017
Dataset Characteristics
Number of classes: 2
Number of features: 7 (numeric: 6, symbolic: 1 and in total binary: 1 )
Number of instances: 88,588
Number of instances with missing values: 0
Number of missing values: 0
Author: Viktor Malyi Source: Kaggle Please cite:
Run or walk This dataset is gather to detect whether a person is running or walking based on deep neural networks and sensor data collected from iOS devices.
The dataset represents 88588 sensor data samples collected from the accelerometer and gyroscope from iPhone 5c in 10 seconds intervals and ~5.4/second frequency.
Attribute information
This data is represented by following columns (each column contains sensor data for one of the sensor's axes):
acceleration_x acceleration_y acceleration_z gyro_x gyro_y gyro_z
There is an activity type represented by "activity" column which acts as label and reflects following activities:
"0": walking "1": running
The original data also contains a "wrist" column which represents the wrist where the device was placed, and "date", "time" and "username" columns which provide information about the exact date, time and user which collected these measurements.
This page was built for dataset: Run_or_walk_information
