A lightweight algorithm for synchronized multimodal data acquisition using temporal sample alignment
Jacek Piatkowski1, Lukasz Karbowiak2, Filip Depta1
1Faculty of Computer Science and Artificial Intelligence, Czestochowa University of Technology, Czestochowa, 42-201, Poland.
None:
The use of many different types of data sensors makes it possible to better represent and understand a given phenomenon. However, the problem becomes the synchronization and fusion of this data. Our goal was to develop a lightweight and flexible system for synchronized data acquisition from various sensors. We created the Synchronized Data Acquisition System (SDAS), which uses our Edge Control Protocol (ECP) and Temporal Sample Alignment (TSA) algorithm to ensure that the data collected from all the sensors connected to the SDAS is in sync. This process can therefore be referred to as a software-based synchronization method. We also conducted tests to validate our solution.
More Related Videos
06:32Author Spotlight: Automated Deep Brain Stimulation for Parkinson's Disease - Exploring the Possibilities and Challenges of Home Monitoring
Published on: July 14, 2023
07:13Author Spotlight: An Efficient and Robust Software for Automated Fusion of Multiple Preclinical Imaging Modalities
Published on: October 27, 2023
Related Concept Videos
Sampling Methods: Overview
In analytical chemistry, the choice of...
Sampling Continuous Time Signal
In the...
Aliasing
If the sampling frequency is below the Nyquist rate, these replicas overlap, preventing the original...
Cluster Sampling Method
To choose a cluster sample, divide the population into clusters (groups) and then randomly select some of the clusters. All the members from these clusters are in the cluster sample. For example, if you randomly sample four departments from your...
