Datasets
Standard Dataset
Activity Detection
- Citation Author(s):
- Submitted by:
- Vahideh Shirmoh...
- Last updated:
- Tue, 05/17/2022 - 22:18
- DOI:
- 10.21227/qjnr-re50
- Research Article Link:
- License:
- Categories:
Abstract
Wearable sensors can efficiently detect human body movements with the ability to be extended to an Internet-of-Things (IoT) platform. In this platform, integration of wearable sensors, smartphones, and activity recognition takes place on a web-based application. A SensorTile kit from STMicroelectronics is an IoT module that packs powerful processing capabilities and is mostly used for activity detection. It consists of a 3-axis accelerometer, 3-axis gyroscope, 3-axis Magnetometer and Pressure, Temperature, and Humidity sensors. We have conducted the Data acquisition using this specific module once the person was running, walking, standing, sitting, and so on.
This is a guide to open and read the data and Matlab codes for activity detection based on accelerometers.
The Matlab Code makes use of built-in algorithms in Matlab.
Requirement: 2020b The MathWorks, Inc.
1- Unzip both 'data' and 'code' files into one folder.
2- Run 'MainCode' and read the instructions.
3- 'MainCode' calls three Matlab functions, which was created to aviod any complexity in the main code: Acceleration, FeatureExtraction, and normalization.
4- To build a specific Model, enable the determined lines in the 'Training' section.
5- For more visualization or algorithms you may add your code lines appropriately.
Enjoy!
Dataset Files
- WearableData.zip (2.07 MB)
- MainCode.m (5.71 kB)
- Acceleration.m (147 bytes)
- normalization.m (153 bytes)
- _FeatureExtraction.m (459 bytes)
Documentation
Attachment | Size |
---|---|
Readme.txt | 653 bytes |
Comments
STMicroelectronics