Ciencias Exactas y Ciencias de la Salud
Permanent URI for this collectionhttps://hdl.handle.net/11285/551039
Pertenecen a esta colección Tesis y Trabajos de grado de las Maestrías correspondientes a las Escuelas de Ingeniería y Ciencias así como a Medicina y Ciencias de la Salud.
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- Micro-expression recognition with event cameras(Instituto Tecnológico y de Estudios Superiores de Monterrey, 2025-06) Moreno Guzmán, Alejandro; Bustamante Bello, Martín Rogelio; emimmayorquin; Navarro Tuch, Sergio Alberto; School of Engineering and Sciences; Campus Ciudad de México; López Aguilar, Ariel AlejandroMicro-expression recognition is a challenging task due to the subtle and rapid nature of these facial movements. Traditional RGB-based systems often struggle with capturing microexpressions, particularly in low-light or high-speed scenarios. Event-based vision offers a promising alternative, leveraging asynchronous brightness change detection to achieve high temporal resolution and low latency. However, the sparse and unconventional data format of event cameras requires the development of tailored algorithms and architectures. This thesis explores the application of event-based vision for micro-expression recognition, focusing on the integration of advanced deep learning architectures, including Conditional Variational Autoencoders (CVAE), Spiking Neural Networks (SNN), and multi-region of interest (multi-ROI) processing. To facilitate training, synthetic event data was generated from traditional RGB datasets, enabling direct comparison between event-driven and framebased approaches. Our experiments demonstrate that event-driven architectures preserve critical temporal cues, and can achieve promising results compared to conventional methods. The proposed system shows promising results in maintaining accuracy and responsiveness, particularly in conditions where traditional cameras fall short. These findings highlight the potential of combining event-based vision with specialized neural networks to advance micro-expression recognition in real-world applications.
- Reinforcement learning for an attitude control algorithm for racing quadcopters(Instituto Tecnológico y de Estudios Superiores de Monterrey, 2022-06-15) Nakasone Nakamurakari, Shun Mauricio; BUSTAMANTE BELLO, MARTIN ROGELIO; 58810; Bustamante Bello, Martín Rogelio; puemcuervo; Navarro Durán, David; School of Engineering and Sciences; Campus Ciudad de México; Galuzzi Aguilera, RenatoFrom its first conception to its wide commercial distribution, Unmanned Aerial Vehicle (UAV)’s have always presented an interesting control problem as their dynamics are not as simple to model and present a non-linear behavior. These vehicles have improved as the technology in these devices has been developed reaching commercial and leisure use in everyday life. Out of the many applications for these vehicles, one that has been rising in popularity is drone racing. As technology improves, racing quadcopters have also improved reaching capabilities never seen before in flying vehicles. Though hardware and performance have improved throughout the drone racing industry, something that has been lacking, in a way, is better and more robust control algorithms. In this thesis, a new control strategy based on Reinforcment Learning (RL) is presented in order to achieve better performance in attitude control for racing quadcopters. For this process, two different plants were developed to fulfill, a) the training process needs with a simplified dynamics model and b) a higher fidelity Multibody model to validate the resulting controller. By using Proximal Policy Optimization (PPO), the agent is trained via a reward function and interaction with the environment. This dissertation presents a different approach on how to determine a reward function such that the agent trained learns in a more effective and faster way. The control algorithm obtained from the training process is simulated and tested against the most common attitude control algorithm used in drone races (Proportional Integral Derivative (PID) control), as well as its ability to reject noise in the state signals and external disturbances from the environment. Results from agents trained with and without these disturbances are also presented. The resulting control policies were comparable to the PID controller and even outperformed this control strategy in noise rejection and robustness to external disturbances.
- User evaluation for game-based learning audio-only games sonification(Instituto Tecnológico y de Estudios Superiores de Monterrey, 2021-12-08) Mora Camargo, Sergio Alberto; Bustamante Bello, Martín Rogelio; puemcuervo/tolmquevedo; Cruz Gómez, Enrique; School of Engineering and Sciences; Campus Ciudad de México; Navarro Tuch, Sergio AlbertoSonification is an important consideration for audiovisual contents, most of the time, it enhances communication’s objective and adds a specific meaning for the consumer. Sound can convey fundamental information that should be addressed to the user, either for generating a brand prestige, giving useful information about the user activities or simply enhancing users attention in a particular topic, improving its interaction experience. The first step is to comprehend the audiovisual content utilities and intentions. What does the digital tool or display intend to communicate? The next step is to understand the user-sound relationship. What does sound can convey in people? How can sound design and audio processing happen to convey a meaning? Knowing how signal processing and user experience are connected in this sonification design can develop more efficient and effective results. One main application of this display interaction is found in game industry. Games had been enhancing sound experience, offering much more comfortness to players. Regularly sound reinforces visual elements and offers a coherent base, but also, sonification can make sound be part of the game as an interactive tool that can make the player understand a particular function, learn a specific topic and develop multiple skills. Audio-Only Games are a new approach to the gaming industry and rising enterprises are interested in developing audio for games in new ways. Giving the main role to sound requires understanding better the three sonification components mentioned above meaning-user-sound. Educational resources could be applied to improve learning tools, interactivity, attention and fun. Multiple audio platforms and brands have developed games with the main or secondary interest of offering skills and knowledge acquisition through intellectual challenges within the interaction process and game-play mechanics.
- Getting smarter urban mobility in Mexico city: visualizing streets pavement conditions and anomalies through fog computing V2I networks and machine learning(Instituto Tecnológico y de Estudios Superiores de Monterrey, 2021-06-10) García Barba, Alec; BUSTAMANTE BELLO, MARTIN ROGELIO; 58810; Bustamante Bello, Martín Rogelio; puelquio/mscuervo; Ramírez Mendoza, Ricardo Ambrocio; School of Engineering and Sciences; Campus Ciudad de México; Izquierdo Reyes, JavierOne of the mayor problems of Mexico City today is its poor mobility. Despite the constant efforts and monetary investments to emerge as one of the largest smart cities in the world, City government has not found a solution to mobility problems. Without a complete coverage of public transportation, and around 35 million daily commuters, with a third of them lasting more than an hour, the country’s capital has been considered several times one of the world's most congested cities. One way to make better decisions about public spending on mobility is to analyze data related to the conditions of its cities’ streets and avenues. Generally, the streets and avenues are fixed as soon as they have a citizen report or when a major incident happens. However, it is uncommon for cities to have real-time reactive systems that detect the different problems they have to fix on the pavement. Today, the government provides internet connection in more than 13,690 Access Points distributed throughout the city. This document thoroughly reviews the context of Mexico City, its communication system range, and technological limitations. At the same time, it is proposed to implement a distributed computing network that couples with the existing infrastructure to capture, filter, and analyze the data that could potentially help decision-makers in terms of public spending on mobility through sensors within vehicles that travel those streets daily and connecting them to a fog-computing architecture on a V2I network. This solution detects main road problems or abnormal conditions in streets and avenues by implementing Machine Learning (ML) algorithms to compare roughness against a flat reference. An equipped vehicle obtained the reference through accelerometry sensors and then sent the data through mid-range communication systems. The present work compares the accuracy and F1 score metrics of a soft-Max Artificial Neural Network (supervised MLA) and a K-Nearest Neighbor (Unsupervised MLA) to select the best option to handle the acquired data, and compares both model’s classification in two different avenues close to ITESM CCM premises.
- Model predictive control for dynamics in autonomous cars(Instituto Tecnológico y de Estudios Superiores de Monterrey, 2021-05-29) Valdivieso Soto, Andrew; BUSTAMANTE BELLO, MARTIN ROGELIO; 58810; Bustamante Bello, Martín Rogelio; puelquio/mscuervo; Izquirdo Reyes, Javier; School of Engineering and Sciences; Campus Ciudad de México; Galluzzi Aguilera, RenatoCar accidents are quite common in several countries, most of these accidents are due to human error, these cover a wide range, from hitting a pole to hitting a pedestrian and this can lead to fatal accidents as well, also the high time in traffic is due to the lack of attention or expertise on the part of the driver. To reduce these accidents and this time lost in traffic, the investigation of autonomous vehicles is chosen, this thesis is focused on the control system for lateral, longitudinal, and yaw angle position using a predictive control model. This study analyzes the performance of the model predictive control (MPC) against PID by controlling the steering and acceleration of a vehicle, it was used Matlab to create the waypoints in the driving scenario and to make the simulations in linear MPC and adaptive MPC blocks, it was analyzed the performance in each control to see how well the position of the vehicle follows the reference line for a double change lane maneuver and compare the results against a PID to see which one performs better. The parameters used were measured from a golf cart. These results suggest that the MPC has a better performance when the tuning is done correctly also the data obtained from the simulation showed that speed was significant to lateral position and yaw angle when lane changes were made. We conclude that Model Predictive Control has better performance against PID also the MPC can be adjusted to work as we wanted it had a lot of maneuverability and is quite flexible.
- Statistical analysis of a controlled experiment of the effects of different sounds related to human emotions(Instituto Tecnológico y de Estudios Superiores de Monterrey, 2020-12-01) Navas Reascos, Gustavo Sebastián; Bustamante Bello, Martín Rogelio; tolmquevedo; Molina Espinosa, José Martín; School of Engineering and Sciences; Campus Ciudad de México; Navarro Tuch, Sergio AlbertoConsidering that there are few studies in which technological tools are used to analyze the relationship between auditory stimuli and emotions, the development of an applied methodology was proposed. It allowed the categorization of auditory stimuli according to the emotional impact on the subjects, using statistical tools. An experiment was proposed using automated facial expression analysis to identify the emotional responses generated, having a total of 50 participants. The information obtained was processed through various statistical programs, including SSPS® and JMPTM. The statistical analysis was divided into 3 stages. The first one that sought to identify the moment where the emotional response appeared once the stimulus was presented. The second one looked for possible associations between emotions to establish patterns of similarity between them. And the third, which corresponded to the search for identification of the stimuli that could evoke specific emotions. Among the findings, the delay between the appearance of the emotional response and the start of the stimuli was determined. Also, the specific emotional response that each of the stimuli produced was determined.
- Development and implementation of a categorization model for the exoskeletons based on their design characteristics and practical projects(Instituto Tecnológico y de Estudios Superiores de Monterrey, 2020) de la Tejera de la Peña, Javier Alberto; BUSTAMANTE BELLO, MARTIN ROGELIO; 58810; IZQUIERDO REYES, JAVIER; 710170; Bustamante Bello, Martín Rogelio; emipsanchez; Izquierdo Reyes, Javier; School of Engineering and Sciences; Campus Ciudad de México; Ramírez Mendoza,Ricardo AmbrocioThe exoskeletons are the future of the humankind. The humankind is in a constant pursuit of improvement for themselves, both physically and mentally. The human body has physical constraints in which no physical training can surpass, but our ingenious and imagination are making this possible. Several decades ago the first developments started, and nowadays, these developments, plus the improvements, are imperative for the humans in the following decades. The exoskeletons can assist or rehabilitate a person, leading this personalized technology to depend on the needs and abilities that each user has. The exoskeletons have a wide spectrum of opportunities in their design, due to the variety of situations in which a person needs an augmentation of their physical performance, thus the diversity of projects. An exoskeleton for sarcopenia was made for assisting the elderly who require help to perform their daily activities, and tested with electromyography (EMG) to analyze its functionality. On the other hand, an exoskeleton made for rehabilitation, machining the exoskeleton gives us a testing platform for other kinds of projects. Through the development of different exoskeletons and projects related to them, an opportunity area was found to formalize the exoskeletons’ topic, creating a model for the categorization of all the exoskeletons using their design characteristics and a further analysis for recommendations in their design. Besides, in this work are proposed tools, based on the design characteristics of exoskeletons, for the optimization of the exoskeleton design process.
- Framework Development for the Communication System of an Interactive Space with Biometric Sensors for Emotion Recognition(Instituto Tecnológico y de Estudios Superiores de Monterrey, 2019-12) López Aguilar, Ariel Alejandro; LOPEZ AGUILAR, ARIEL ALEJANDRO; 886598; Bustamante Bello, Martín Rogelio; tolmquevedo, emipsanchez; Cruz Gómez, Enríque; Molina Espinosa, José Martín; Escuela de Ingeniería y Ciencias; Campus Ciudad de México; Navarro Tuch, Sergio AlbertoDomotics seeks to generate a sense of well-being in society through the integration of different task to facilitate the tasks in the home area; however, it can go further using services that positively affect the user’s emotional state. In Emotional Domotics, it is sought the development of home automation systems that integrate biometric systems for the emotion recognition to generate an ideal scenario for the user to benefit their mental health or to improve its academic or working performance. To achieve this objective, it must first be generated a communication system that is compatible with biometric sensors. Throughout this document it is presented the process of emulation of the communication protocol of the international KNX standard for home automation to create a system compatible with biometric sensors for the recognition of emotions. On the other hand, it is presented a case of application of interactive spaces for the evaluation of products through user experience using emotion recognition systems. Finally, it is presented the validation of the effectiveness of the communication system as well as the results of the tests focused on the evaluation of the user experience.