A Deep Learning Facial Expression Recognition based Scoring System for Restaurants

Recently, the popularity of automated and unmanned restaurants has increased. Due to the absence of staff, there is no direct perception of the customers' impressions in order to find out what their experiences with the restaurant concept are like. For this purpose, this paper presents a rating system based on facial expression recognition with pre-trained convolutional neural network (CNN) models. It is composed of an Android mobile application, a web server, and a pre-trained AI-server. Both the food and the environment are supposed to be rated. Currently, three expressions (satisfied, neutral and disappointed) are provided by the scoring system.

• Publication year

  2019

• Venue

  Digital Signal Processing and Signal Processing Education Workshop

• Publication date

  2019-02-01

• Fields of study

  Computer Science

• Identifiers
  DOI 10.1109/ICAIIC.2019.8668998
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

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