"Physiological synchrony," a phenomenon that the physiological signals of individuals synchronize, is attracting attention in psychology, neuroscience, and cognitive science. However, while physiological synchrony in a remote environment is an essential and interesting topic under the growing needs of remote communication, there has been limited research investigating it. To stimulate research in this field, we developed OpenRBSync, an open-source toolkit to acquire and save time-synchronized biosignals in remote environments. We plan to conduct a user study exploring how visualizing synchrony affects communication.
I was responsible for coding the Python programs. I wrote a client program that provides a user interface to input parameters, receives biosignals from multiple types and channels of sensors, saves them to CSV files, and send them to a server program. I also coded a server program that provides a user interface to input parameters, receives signals from two client programs, calculates the synchrony of signals in real time, and visualizes raw data or the synchrony.