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http://dspace.cityu.edu.hk/handle/2031/9433
Title: | Facial Anti-aging Game based on Deep Learning |
Authors: | Joo, Sungjae |
Department: | Department of Electrical Engineering |
Issue Date: | 2021 |
Supervisor: | Supervisor: Dr. Po, L M; Assessor: Dr. Wong, Eric W M |
Abstract: | Aging is one of the natural phenomenons for all earth living creatures including human and animal. We cannot halt the aging of ourselves, but we could postpone the aging by using several scientific techniques. And this again is closely related to the modern standard of beauty. Nowadays, Beauty is one of the hottest topics among the new generation and even for old generation as well. The old generation wants to be younger and the young generation wants to be prettier. As a result, many cosmetics and plastic surgery fields are developing quite rapidly just like the development of our science technology. If we apply advance technology like deep learning to these beauty fields, we could achieve tremendous advantages and profits. The project objective is using camera from Smartphone and applying deep learning technology to develop a facial exercise game to instruct the user in the way that minimize the Anti- aging of human face. This app will try to maximize the facial anti-aging of the user by instructing them about facial exercises through recognizing their faces and guiding them the right way to exercise using deep learning technology. |
Appears in Collections: | Electrical Engineering - Undergraduate Final Year Projects |
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