Inspicio is a series that reflects on inspiration as a paradoxical force—one that is sought for elevation yet, in its discovery, becomes the agent that elevates us. It explores inspiration not as a fleeting spark but as a continuous ecosystem where emotion, perception, and cognition intertwine, revealing the mind as a fertile garden where ideas take shape.
Rooted in the ancient symbolism of floriography and guided by contemporary machine learning, Inspicio transforms the psyche’s secret impulses into visible matter. Through the capture and classification of EEG data, each neural signature is processed into one of seven cardinal emotions—Surprise, Happiness, Anger, Disgust, Sadness, Harmony, and Fear—each associated with flowers whose meanings resonate through Hanakotoba’s ancestral logic.
In this space, inspiration emerges as a dialogue between the biological and the artificial. A custom KNN model interprets brain activity, generating three-dimensional emotional sculptures that serve as the latent seeds for generative AI. TouchDesigner becomes the vessel through which these forms bloom in real time, while the Sares dataset provides the symbolic textures that flesh out the inner state.
The result is a system where thought becomes image, emotion becomes geometry, and consciousness becomes a garden in motion. Inspicio is neither tool nor artifact but the unfolding of inspiration itself—an invitation to witness how the human mind blossoms when given the chance to make the invisible visible.
Inspicio
