Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Factorial Design02:01

Factorial Design

13.3K
Factorial Analysis is an experimental design that applies Analysis of Variance (ANOVA) statistical procedures to examine a change in a dependent variable due to more than one independent variable, also known as factors. Changes in worker productivity can be reasoned, for example, to be influenced by salary and other conditions, such as skill level. One way to test this hypothesis is by categorizing salary into three levels (low, moderate, and high) and skills sets into two levels (entry level...
13.3K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Pattern Recognition Algorithms in Pharmacogenomics and Drug Repurposing-Case Study: Ribavirin and Lopinavir.

Pharmaceuticals (Basel, Switzerland)·2025
Same author

Integrating Computational Analysis of In Vivo Investigation of Modulatory Effect of <i>Fagonia cretica</i> Plant Extract on Letrozole-Induced Polycystic Ovary Syndrome in Female Rats.

Biology·2025
Same author

Improving Depth Estimation by Embedding Semantic Segmentation: A Hybrid CNN Model.

Sensors (Basel, Switzerland)·2022
Same author

A Hebbian Approach to Non-Spatial Prelinguistic Reasoning.

Brain sciences·2022
Same author

Wind Booster Optimization for On-Site Energy Generation Using Vertical-Axis Wind Turbines.

Sensors (Basel, Switzerland)·2021
Same author

Evolutionary Optimization of Ensemble Learning to Determine Sentiment Polarity in an Unbalanced Multiclass Corpus.

Entropy (Basel, Switzerland)·2020

Related Experiment Video

Updated: Oct 7, 2025

Photorealistic Learned Landscapes for Augmented Reality
06:54

Photorealistic Learned Landscapes for Augmented Reality

Published on: June 27, 2025

254

Deep-Learning-Based Adaptive Advertising with Augmented Reality.

Marco A Moreno-Armendáriz1, Hiram Calvo1, Carlos A Duchanoy2

  • 1Centro de Investigación en Computación, Instituto Politécnico Nacional, Ciudad de Mexico 07738, Mexico.

Sensors (Basel, Switzerland)
|January 11, 2022
PubMed
Summary

This study presents a deep learning system analyzing facial characteristics and ambient temperature to generate personalized beverage recommendations. The portable solution achieves over 80% accuracy, displaying targeted digital posters for individual customers.

Keywords:
augmented realitycomputer visiondeep learningemotion-based recommendationtargeted advertising

More Related Videos

Loneliness Assuaged: Eye-Tracking an Audience Watching Barrage Videos
06:45

Loneliness Assuaged: Eye-Tracking an Audience Watching Barrage Videos

Published on: May 29, 2020

4.3K
Usability Evaluation of Augmented Reality: A Neuro-Information-Systems Study
05:43

Usability Evaluation of Augmented Reality: A Neuro-Information-Systems Study

Published on: November 30, 2022

2.5K

Related Experiment Videos

Last Updated: Oct 7, 2025

Photorealistic Learned Landscapes for Augmented Reality
06:54

Photorealistic Learned Landscapes for Augmented Reality

Published on: June 27, 2025

254
Loneliness Assuaged: Eye-Tracking an Audience Watching Barrage Videos
06:45

Loneliness Assuaged: Eye-Tracking an Audience Watching Barrage Videos

Published on: May 29, 2020

4.3K
Usability Evaluation of Augmented Reality: A Neuro-Information-Systems Study
05:43

Usability Evaluation of Augmented Reality: A Neuro-Information-Systems Study

Published on: November 30, 2022

2.5K

Area of Science:

  • Artificial Intelligence
  • Computer Vision
  • Human-Computer Interaction

Background:

  • Personalized marketing enhances customer engagement.
  • Digital signage offers dynamic advertising opportunities.
  • Facial analysis technology is advancing for commercial applications.

Purpose of the Study:

  • To develop a deep learning system for personalized customer recommendations in retail environments.
  • To integrate facial analysis (age, gender, personality) and environmental data (temperature) for tailored advertising.
  • To implement a portable solution for real-time digital poster generation.

Main Methods:

  • Utilized deep neural networks for facial characteristic analysis (age, gender, personality via Big Five test).
  • Integrated augmented reality for displaying personalized digital posters.
  • Developed a system to process ambient temperature alongside facial data.
  • Ensured individual deep neural network precision exceeded 80%.

Main Results:

  • The system accurately analyzes facial features and environmental conditions.
  • Personalized recommendations are generated and displayed via digital posters.
  • The solution is portable and capable of processing multiple individuals simultaneously.
  • Achieved high precision (>80%) for all analyzed characteristics.

Conclusions:

  • Deep learning enables effective personalized marketing through facial and environmental analysis.
  • The developed system offers a novel approach to dynamic and targeted advertising.
  • The portable solution demonstrates practical application in beverage establishments and beyond.