Yale University
Visual artists can consult a digital color wheel to test relationships between different shades. Audio engineers can alter soundwave frequencies to create complex tones and harmonies. But no digital tools exist that can predict how people will perceive the blend of scents wafting from a steaming cup of coffee or a freshly baked apple pie.
In new Yale-led study, researchers developed a machine learning method to accurately predict how people perceive different scent combinations. The advance is an important step toward creating a quantitative framework for understanding our perceptions of complex odors, which the researchers say could someday lead to applications relevant to human health.
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