Intro
Preface
Organization
Contents
About the Editors
Smart Environment
Reinforcement Learning Model in Automated Greenhouse Control
1 Introduction
2 Related Work
3 Reinforcement Learning Using Predictive Control in the Greenhouse
4 Internet of Things and User-Centered Design for the RL Model
5 Application in an Automated Greenhouse
6 Conclusions
References
Performance Evaluation of Face Detection Algorithms for an Emotion Recognition Application in a School in the Department of Nariño
Colombia
1 Introduction
2 Related Work

3 Configuration of the Working Space and Capture of Images
4 Performance Evaluation of Face-Detection Algorithms
5 Conclusions
References
An Open Framework for Nonverbal Communication in Human-Robot Interaction
1 Introduction
2 Nonverbal Human-Robot Interaction
2.1 Types of Nonverbal Interactions in HRI
2.2 Design Scenarios
3 Architecture of the Nonverbal HRI Framework
3.1 The Eva Social Robot
3.2 MQTT Broker
3.3 Wearable and Environmental Sensors
3.4 Rhasspy
3.5 EvaNotebook
3.6 Data Analysis Models
4 Implementation of Scenarios

4.1 Scenario 1: Gaze and Proxemics to Initiate an Interaction
4.2 Scenario 2: Suggesting a Cooking Recipe
5 Conclusion
References
A First Approach to the Generation of Linguistic Summaries from Glucose Sensors Using GPT-4
1 Introduction
2 Chatgpt
3 Generation of Linguistic Summaries
4 Linguistic Summaries Using ChatGPT
4.1 Methodology
4.2 Description of the Problem
4.3 Simplification Process
5 Experimentation
6 Evaluation
7 Conclusion
References
Efficient and Accountable Industry 5.0 Production Scheduling Mechanism for Mass Customization Scenarios

1 Introduction
2 Industry 5.0 Technologies and Mass Customization Solutions
3 Efficient and Accountable Industry 5.0 Production Scheduling
3.1 Prosumer Environment and Price Calculation
3.2 Transparent and Accountable Blockchain-Enabled Marketplace
3.3 Efficient Production Scheduling
4 Experimental Validation: Simulation and Results
5 Conclusions and Future Work
References
Non-invasive Synthesis from Vision Sensors for the Generation of 3D Body Landmarks, Locations and Identification in Smart Environments
1 Introduction
2 Materials and Methods

2.1 Sensor, Deployment and Setup
2.2 Body Segmentation and 3D Landmark Body Estimation
2.3 Computing 2D Location of Inhabitants
2.4 Non-supervised Deep Learning Tracking in Multi-occupancy
2.5 Face-Based Identification
2.6 Representing Data in a Virtual Environment
3 Case Study
3.1 Results
3.2 Limitations of the Study
4 Conclusions and Ongoing Works
References
A Model to Support the Prediction of Indicators in the Diagnosis and Intervention of Autism Spectrum Disorder
1 Introduction
2 Case Study
3 Conclusions
References