Objective Cosmetic Gel Evaluation: A Deep Learning Approach Utilizing Time-Series Friction Analysis
Objective Cosmetic Gel Evaluation: A Deep Learning Approach Utilizing Time-Series Friction Analysis The evaluation of cosmetic gels, and topical products in general, traditionally relies on subjective sensory panels. However, inherent variability in human perception, influenced by factors such as age, race, and individual sensory differences, introduces limitations to this methodology. This study presents a novel approach leveraging deep learning to objectively analyze and classify cosmetic gels based on their physical properties. The core of this methodology involves the acquisition of…