The Research on Scent and Fragrance in Memory with Machine Learning

The latest research from Rockefeller University in the United States in 2014 found that humans can smell one trillion fragrances, and smell is one of the best ways to wake up memory. HERMES's exclusive perfumer, Elena, mentioned in his book "Perfume Master's Diary" that in life,...

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Bibliographic Details
Main Authors: Chen, Wei-Yu, Huang, Chu-Ching, Lo, Tzu-Min, Yuan, Wei-Chun, Tsai, Hsin-Yu, Cheng, Ting-Fang, Chang, Fang-Ling
Format: Conference Proceeding
Language:English
Subjects:
Brain modeling
Computers
Data models
Internet
Oils
Olfactory
Proteins
Online Access:Request full text
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Summary:The latest research from Rockefeller University in the United States in 2014 found that humans can smell one trillion fragrances, and smell is one of the best ways to wake up memory. HERMES's exclusive perfumer, Elena, mentioned in his book "Perfume Master's Diary" that in life, smell is everywhere. Fruit vendors in the market, food from exotic restaurants, and so on, may all evoke the waves of imagination and become inspiration for making fragrance. As for the method of remembering scent, Elena used drawing to visually assist olfactory association in the diary to help herself remember the scent. In this research, we applied the GPT-2 algorithm in natural language learning in deep learning to allow computers to learn the method of perfumery by crawling the Internet. Let the computer learn how to scent and produce a formula. Although the computer does not have a sense of smell, it can still summarize and infer through various documents to produce the fragrance in memory for subsequent related research.
ISSN:2575-8284
DOI:10.1109/ICCE-Taiwan49838.2020.9257990