Organised by IFSTs Sensory Science Group (SSG)

Speaker:  Gabriela Daniels, Programme Director – Science; University of the Arts, London (UAL)

Gabriela Daniels has an MSc in Science and Technology of Cosmetics and Essential Oils from University of Food Technologies in Bulgaria and has worked in the cosmetic industry in Bulgaria and the UK in a variety of roles, such as applications chemist and technical adviser. She also holds an MBA and is a Senior Fellow of the Higher Education Academy (UK). She teaches cosmetic science related topics at the UAL and is an Honorary Lecturer at University College London. Her research interests lie in multidisciplinary research projects focused on exploring the consumer experience of hair fibre and assembly properties. She is also a member of the European Hair Research Society.

Abstract: Each hair fibre is a complex composite material. At any point of time, 80,000 to 100,000 of fibres grow out of our scalp and collectively generate visual hair assembly characteristics unique for each individual. Artificial Intelligence (AI) provides us with the tools to analyse hair image data and to generate predictive models about how the cosmetic products augment visually hair assembly. This study compares the sensitivity of human perception with that of classification algorithms for machine learning. Several key points will be discussed:
•    Developing algorithm training data using images of hair tresses;
•    The results of different sensory tests conducted on the same hair;
•    Comparisons between the classification tests and the sensory tests

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Published by Institute of Food Science Technology