Papers by Javier Izquierdo Reyes
2022 International Symposium on Electromobility (ISEM)

2019 International Conference on Mechatronics, Electronics and Automotive Engineering (ICMEAE)
Facial expression recognition has been an active research area, with an increasing number of appl... more Facial expression recognition has been an active research area, with an increasing number of applications like avatar animation, cyber security, and neuromarketing. The use of neural networks and data science are having a strong growth in research centers and universities; the field of machine learning is booming because it is a strong tool and it has an immense amount of applications. The purpose of this paper is the development of a Live Emotions Predictor using Convolutional Neural Networks, this was developed in different sections, the part of data processing and its own training using a Convolutional Neural Network (CNN) that generates accurate and precise predictions of the 5 main emotions in a graphical way. For the processing part it is important to have data that can be trained, preprocessing, and thus be able to have better results. The data generated by iMotion® are CSV files and the first part was to be able to have a clean database for its training. In the training part, the challenge was to generate a sufficiently robust CNN so we can obtain highly reliable "accuracy's" (percentages greater than 88%), determining the main architecture and all its layers to obtain these results.

Education Sciences
Automotive engineering is an area of great value and development. Lately, it has evolved rapidly ... more Automotive engineering is an area of great value and development. Lately, it has evolved rapidly because of autonomous vehicles. The development of smart mobility will be crucial in the coming years. Related research and companies related to intelligent transportation require trained and capable engineers. It is essential to generate an updated and specialized academic program that provides state-of-the-art technologies and related areas with smart mobility. This paper presents a novel two-year graduate academic program focused on smart electromobility. Programs around the globe were analyzed to find opportunity areas related to autonomous and electric vehicles, and smart mobility. Multi- and transdisciplinary courses were designed, according to the findings, on areas related to computer science, mechanical and electric engineering, law, marketing, and public policy. The proposed program fulfills the needs of a graduate student who will later work in a smart electromobility environm...

Studies in Computational Intelligence, 2017
This research proposed working with an influence on the subject mood, presenting an approach to s... more This research proposed working with an influence on the subject mood, presenting an approach to state the subjects analysis when the light hue is varied. The experimental results led to the finding of the emotional response time dynamics. Such dynamics are important for future design and implementation of the control loops in-house automation systems for emotion modulation. Throughout this document, the details and progress of the research in emotional domotics, with the aim of developing a controlled algorithm for living space based on the user’s emotional state, will be illustrated and detailed. This project is centered on domotics (home automation) systems, which is, a set of elements installed, interconnected and controlled by a computer system. After introducing the investigation’s core, general preview, and the experiment’s description conducted with light hue variation, the description is followed by a presentative approach to state the subjects analysis when light hue is varied. The experimental results led to the time dynamics of emotional response findings. Such dynamics are important for future design and implementation of the control loops in house automation systems for emotion modulation.

2019 International Conference on Mechatronics, Electronics and Automotive Engineering (ICMEAE), 2019
Panorama stitching consists on frames being merged to create a 360° view. This technique is propo... more Panorama stitching consists on frames being merged to create a 360° view. This technique is proposed for its implementation in autonomous vehicles instead of the use of an external 360-degree camera, mostly due to its reduced cost and improved aerodynamics. This strategy requires a fast and robust set of features to be extracted from the images obtained by the cameras located around the inside of the car, in order to effectively compute the panoramic view in real time and avoid hazards on the road. This paper compares and creates discussion of three feature extraction methods (i.e. SIFT, BRISK and SURF) for image feature extraction, in order to decide which one is more suitable for a panorama stitching application in an autonomous car architecture. Experimental validation shows that SURF exhibits an improved performance under a variety of image transformations, and thus appears to be the most suitable of these three methods, given its accuracy when comparing features between both images, while maintaining a low time consumption. Furthermore, a comparison of the results obtained with respect to similar work allows us to increase the reliability of our methodology and the reach of our conclusions.

Sensors, 2022
Analyzing data related to the conditions of city streets and avenues could help to make better de... more Analyzing data related to the conditions of city streets and avenues could help to make better decisions about public spending on mobility. Generally, streets and avenues are fixed as soon as they have a citizen report or when a major incident occurs. However, it is uncommon for cities to have real-time reactive systems that detect the different problems they have to fix on the pavement. This work proposes a solution to detect anomalies in streets through state analysis using sensors within the vehicles that travel daily and connecting them to a fog-computing architecture on a V2I network. The system detects and classifies the main road problems or abnormal conditions in streets and avenues using Machine Learning Algorithms (MLA), comparing roughness against a flat reference. An instrumented vehicle obtained the reference through accelerometry sensors and then sent the data through a mid-range communication system. With these data, the system compared an Artificial Neural Network (s...
2018 International Conference on Mechatronics, Electronics and Automotive Engineering (ICMEAE), 2018
Advances in the development of autonomous and semi-autonomous driving vehicles in recent years ha... more Advances in the development of autonomous and semi-autonomous driving vehicles in recent years has allowed to dazzle a near future in which the transportation systems will be based on this type of vehicles, especially focused for different types of services and a decrease in the particular use; generating with it the removal of the equation of the human error in road accidents and a reduce up to 90% deaths caused by this type of accident [1]. That is why this paper will generate an analysis and comparison of different architectures currently proposed in the academy as in the industry, and present our proposal and scope currently developed to semi-automate a car with a modular mechatronic system.

Applied Sciences, 2021
Electric vehicles must improve their electric drive system efficiency and effectively use their l... more Electric vehicles must improve their electric drive system efficiency and effectively use their limited energy to become a viable means of transportation. As such, these technologies have undergone substantial improvements from their initial conception. More efficient powertrains, together with improved storage technologies, have enabled more extended autonomy. However, from an engineering perspective, these systems are still a key area of research and optimization. This work presents a powertrain optimization methodology, developing energy savings and improving the performance of the electric vehicle by focusing on the differential. The proposed methodology includes a study of the dynamics of the electric vehicle and the generation of a mathematical model that represents it. By simulating the vehicle and varying the final ratio of the differential, a significant optimization for energy savings is obtained by developing a standardized driving cycle. In this case, NEDC, WLTC-2, and W...

Proceedings of SAI Intelligent Systems Conference (IntelliSys) 2016, 2017
Throughout this document the details and progress of the research in emotional domotics, whose ul... more Throughout this document the details and progress of the research in emotional domotics, whose ultimate goal is the development of a controlled algorithm for living spaces based on the emotional state of the user, will be illustrated and detailed. The first section details the motivations and objectives of the project. The second section gives a brief introduction about what is domotics and emotional interpretation through the facial analysis. The third section details the direction and current progress of this research. Later in section four, the background and models that have influenced the project are detailed. Sections five and six detail the procedures and results of the first experiment conducted during the investigation. Finally, in section seven we will close with the conclusions currently achieved and a brief introduction to the future work are showed.
Converging Clinical and Engineering Research on Neurorehabilitation III, 2018
An experimental protocol that integrates psychological and physiological assessment of volunteers... more An experimental protocol that integrates psychological and physiological assessment of volunteers was designed and developed to assess the degree of user acceptance of an exoskeleton. The main goal of this study was to determine how to increase the efficiency of employing these devices to improve the users’ social re-integration.

2018 International Conference on Mechatronics, Electronics and Automotive Engineering (ICMEAE), 2018
Nowadays, backpacks are a useful tool in a lot of areas, they can contain clothing, school suppli... more Nowadays, backpacks are a useful tool in a lot of areas, they can contain clothing, school supplies, electronic equipment, medicine or any personal stuff. One of the biggest problems is that they can be stolen easily, and sometimes the things inside could be very expensive and important to the user. This project aims to solve this problem in a technological way, to integrate some others smart features and to incorporate a way in which the owner can interact directly by using its smartphone. The prototype developed has a Bluetooth 5.0 and a GPS/GSM/UMTS module that allow the communication with the user and provide him the backpack's location, a locking system regulated by a RFID lector, an external and internal lightning system, a temperature and humidity sensor, laptop detection, and a wireless charging using the Qi standard. The prototype was developed and programmed using the Arduino Uno board and the apps used to test it were Bluefruit and iMessage. After all those tests, it ...

2018 International Conference on Mechatronics, Electronics and Automotive Engineering (ICMEAE), 2018
The KNX Standard was developed by the Konnex Association for the design of home automation applic... more The KNX Standard was developed by the Konnex Association for the design of home automation applications, so the Engineering Tool Software (ETS) was created for the control of smart buildings and it works with its own protocol, the KNXnet/IP protocol. However, the KNXnet/IP protocol is designed exclusively for home automation applications and it is intended to be implemented in different areas, such as biometric applications, for future projects. To achieve this, it is proposed to understand and emulate the operation of the KNXnet/IP telegrams. Wireshark software was used to interpret the protocol telegrams and replicate their operation using MATLAB/Simulink tools. The development of the program on MATLAB/Simulink managed to effectively emulate the behavior of the KNXnet/IP protocol and establish an adequate communication between the computer and the KNX control board.

Applied Sciences, 2021
For smart cities using clean energy, optimal energy management has made the development of electr... more For smart cities using clean energy, optimal energy management has made the development of electric vehicles more popular. However, the fear of range anxiety—that a vehicle has insufficient range to reach its destination—is slowing down the adoption of EVs. The integration of an auxiliary power unit (APU) can extend the range of a vehicle, making them more attractive to consumers. The increased interest in optimizing electric vehicles is generating research around range extenders. These days, many systems and configurations of extended-range electric vehicles (EREVs) have been proposed to recover energy. However, it is necessary to summarize all those efforts made by researchers and industry to find the optimal solution regarding range extenders. This paper analyzes the most relevant technologies that recover energy, the current topologies and configurations of EREVs, and the state-of-the-art in control methods used to manage energy. The analysis presented mainly focuses on finding ...
2018 International Conference on Mechatronics, Electronics and Automotive Engineering (ICMEAE), 2018
Autonomous Driving is a topic each time more relevant due to the great role that autonomous and c... more Autonomous Driving is a topic each time more relevant due to the great role that autonomous and connected vehicles could take in the development of smart cities around the world. And, even when some prototypes are now capable of driving alone in some scenarios, it is true that a fully autonomous car does not exist yet. The present work pretends to give to the reader a general context about autonomous vehicles and a perspective of this technology and its evolution in a really difficult context such as the Mexican, which is comparable with others like the Latin American. They are also presented some of the most relevant tests and/or works made around this topic with a direct impact in Mexico.

2019 42nd International Conference on Telecommunications and Signal Processing (TSP), 2019
In recent years, through the evolution of intelligent transport systems (ITS), there has been an ... more In recent years, through the evolution of intelligent transport systems (ITS), there has been an increase in components to monitor different variables in the vehicles (such as driver monitoring, tire pressure, oil pressure, vehicle speed, acceleration, among others). Internet of Things (IoT) is enabling the collection of a variety of information of all types of components for monitoring the environment and systems. Also, as part of this evolution, the original concept of Vehicular Ad-hoc networks (VANETs) is being transformed into a new concept, the Internet of Vehicles (IoV), which involves Vehicle to Vehicle (V2V), Vehicle to Infrastructure (V2I) communications, and other variations of these (V2X).In this paper, a review of the state of the art of the technologies and architectures generated around the Internet of the vehicles (IoV) is carried out and with this, an implementation of the simulation of intelligent vehicular communications through the IEEE 802.11p protocol and one of its applications. An algorithm for the generation of vehicular convoys to improve vehicle flow application through V2X communication is proposed and implemented in the simulation, and the communication quality is validated in a closed route in an urban environment during the simulations, omitting aspects of security in communications.

Applied Sciences, 2020
Exoskeletons are an essential part of humankind’s future. The first records regarding the subject... more Exoskeletons are an essential part of humankind’s future. The first records regarding the subject were published several decades ago, and the field has been expanding ever since. Their developments will be imperative for humans in the coming decades due to our constant pursuit of physical enhancement, and the physical constraints the human body has. The principal purpose of this article is to formalize research in the field of exoskeletons and introduce the field to more researchers in hopes of expanding research in the area. Exoskeletons can assist and/or aid in the rehabilitation of a person. Recovery exoskeletons are mostly used in medical and research areas; performance exoskeletons can be used in any area. This systematic review explains the precedents of the exoskeletons and gives a general perspective on their general present-day use, and provides a general categorization model with a brief description of each category. Finally, this paper provides a discussion of the state-o...

International Journal on Interactive Design and Manufacturing (IJIDeM), 2020
The exoskeletons are an emerging technology that may help the population in many physical health ... more The exoskeletons are an emerging technology that may help the population in many physical health aspects, regardless of the application area. An affliction that is alarmingly increasing due to the rise in the population's average age and their sedentary lifestyles, is sarcopenia. The sarcopenia is the diminish of muscle mass and muscle strength, with the pass of the time. One of the main ways to avoid its development is by performing physical activities, however, when an elderly person needs to perform them, there is a problem due to their physical capacity. A lower-limb exoskeleton can help the elderly, who do not have the minimum muscle strength needed, to perform physical activities. Monitoring the muscles of the user with an electromyography (EMG) portable device, while wearing the exoskeleton, will give a quantitative response analysis to ensure the exoskeleton is helping the patient. After the data has been acquired by the EMG, it can then be uploaded to the cloud for the processing of the information and its further display for a daily check by a medical expert. This process provides a more efficient way of checking the patient's sarcopenia development, but also, to promote the further constant use of the exoskeleton in the daily life of the patients, in order to improve their life quality.

International Journal on Interactive Design and Manufacturing (IJIDeM), 2019
The development of intelligent vehicles has been increasing at great speed in recent years, which... more The development of intelligent vehicles has been increasing at great speed in recent years, which has allowed to improve their capabilities in autonomous driving systems. Many of these features are related to advanced driving assistance systems and autonomous driving systems. This capability improvement, has been achieved because of recent developments of automation oriented software and hardware. Such improvements, allowed the vehicle to achieve a more precise perception of it's working environment. For this improvement it is important the integration and simulation of the systems in different configurations, such as hardware-in-the-loop, software-in-the-loop and model-in-the-loop. In this paper, we present a framework proposal that allows the design and testing of computer vision and control systems for the partial automation of a vehicle, with the use of hardware and software systems in the loop. This proposal is focused on the rapid experimental development of these systems for the implementation by autonomous vehicle designers and engineers. Our proposal allows faster data capture, either in a real or simulated environment, to improve and optimize data training with machine learning algorithms; this proposal integrates several open source systems and hardware with the necessary capacity for real-time implementation.

International Journal on Interactive Design and Manufacturing (IJIDeM), 2019
The Emotional Domotics (home automation) is a concept that has been one of the main focus of our ... more The Emotional Domotics (home automation) is a concept that has been one of the main focus of our research team seeks to integrate the subject or user of an inhabitable space as central element for the modulation and control of the environmental variables in a house automation implementation for the life quality improvement and in consequence as a method to reduce stress. Even though this project is centered on domotics systems. The development and implementations proved useful as a User Experience analysis tool for products and services. The research originally proposed working with the analysis of the influence of environmental variables on the emotional and physiological response. The first experimental results led to the finding of the emotional response time dynamics (Navarro-Tuch et al., in: SAI Intelligent Systems Conference. London, pp 567-571, 2016). Such dynamics were important for further design and implementation of the testing methodology for response analysis to alternative stimuli. The final sections of the work present a final experiment in which the stimuli contemplated were the temperature, humidity, light intensity and visual stimuli with the corresponding testing methodology implementation. Which led to the final correlation equations for each of five basic emotions selected. These equations may allow us to propose an initial plant model for a control system to be developed by further research.
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Papers by Javier Izquierdo Reyes