Apollo Smart Walker Dataset
Description
APOLLO SMART WALKER DATASET Gait monitoring of elderly people who use walkers. This dataset collects data from the accelerometer, gyroscope and magnetometer sensors of the smartphone positioned in the center of a walker. ADL 1 Forward: Starting the walk on the sidewalk, passing through the grass to the end point. Backward: Starting the walk on the grass, going to the sidewalk. ADL 2 Forward: Starting the walk from an internal environment of the house and going to the external environment. Backward: Starting the walk from an external environment of the house and going to the internal environment. ADL 3 Forward: Starting the walk in the living room, going through the hallway and entering the bathroom. Backward: Starting the walk in the bathroom, going through the hallway and entering the living room. See the records of this dataset: ADL 1 https://www.youtube.com/playlist?list=PLRHcq8YHj4-aHt03LLV-tvM9IP90869dU ADL 2 https://www.youtube.com/playlist?list=PLRHcq8YHj4-YaOt1KNg5KhCxcO1wuF_F_ ADL 3 https://www.youtube.com/playlist?list=PLRHcq8YHj4-YEc2PifRcFp0Aw1AJFIuXC Number of samples: 180 Number of Instance: 482031 Data Set Characteristics: Sequential Data, Time Series Data, Multivariate Data, Correlation Area: Elderly Health, Applied Computing Attribute Characteristics: Integer, Double Number of Attributes: 5 The coordinate-system is defined relative to the screen of the phone in its default orientation. The axes are not swapped when the device's screen orientation changes. The X axis is horizontal and points to the right, the Y axis is vertical and points up and the Z axis points towards the outside of the front face of the screen. In this system, coordinates behind the screen have negative Z values. Source: https://developer.android.com/reference/android/hardware/SensorEvent Apollo Smart Walker Collector github repository: https://github.com/hartmannjean/Apollo-Smart-Walker-Collector Relevant Information: 1. The dataset collects data from an Android smartphone which is positioned in the center of the walker; 2. The data sensors collected are accelerometer, gyroscope and magnetometer; 3. The sampling frequency of the sensors is DELAY_FASTEST - 20 milliseconds; 4. Data format: CSV. Dataset information: 1. Dataset was recorded in video; 2. The dataset was recorded in three different scenarios. Each scenario has two turns, going forward and coming back. 3. Each scenario was recorded 20 times. 4. Each recording generated three files: i. Accelerometer; ii. Gyroscope; iii. And magnetometer; 5. Each file contains the following information; i. Timestamp, Id, x axis, y axis, z axis. This dataset is part of this article paper: Hartmann, Jean; Tavares, João (2022). Apollo Smart Walker: A Model Based on IoT and Artificial Intelligence for Monitoring the Gait of Elderly People Using Walkers. Universidade do Vale do Rio dos Sinos.
Files
Steps to reproduce
1 - Download the .zip file; 2 - Unzip the file; 3 - Each ADL folder has 3 .hea files, showing the header of each file generated by the application; 4 - Each ADL folder has a readme file, explaining the scenario of each ADL; 5 - Inside each ADL there will be two folders, "Forward" and "Backward"; 5.1 - Inside "Forward" there will be another 10 folders, referring to the number of times that scenario was recorded; 5.2 - The same goes for the "Backward" folder; 5.3 - Inside each folder that are inside "Forward" and "Backward" there is a .MP4 file that is the video recording of the dataset.