A lightweight algorithm for synchronized multimodal data acquisition using temporal sample alignment.

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.