Abstract

Synplant is an installation consisting of multiple hybrid plant sensing units. By analyzing biosignals, it can interpret the natural environment from the perspective of plants and translate their experiences into audiovisual expressions that can be experienced by humans. This work is based on a supervised learning system that analyzes the changes in biosignals when plants receive environmental stimuli. The analysis results are used to control acoustic-lighting devices to generate variable cymatics patterns. Through the utilization of wind and rain as vehicles to bridge different sensing units, it creates an immersive audiovisual field that represents the trajectories of the invisible interaction between plants and different elements in the natural environment. This work combines an intelligent machine with botanical perception to extend our understanding of the natural environment and to connect with the land from a non-human perspective.

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