Methodology of Life Cycle Analysis applied to Habitat of Emotional Domotics
Use the Life Cycle Analysis Methodology to determine the impact of the first version of the passenger compartment from the materials used in its construction and determine the materials with greater energy efficiency and lower impact environmental for the elaboration of the cabin throughout its life cycle.
The avatar 2.0 project seeks in the long term to generate interactive digital interfaces through Avatars capable of detecting human expressions for a more natural interaction. The interfaces can assist in therapies, education, company for elderly people, among others, by mixing adaptability with user analysis.
Generate an artificial intelligence implementation for an interface capable of detecting the emotions of a user and that is capable of responding to change the emotional expressions of the user.
Adapt images of cartoons to those generated by the UEC software.
Capture some transitive expressions by means of a sequence of images or videos to be called in the future.
Leave the protocol or program designed to include pre-designed expressions for easy implementation with new avatars.
Recognition of facial expressions
Generate a program or algorithm for the recognition of facial expressions that generates data, coordinates and images that serve to feed an artificial intelligence algorithm that detects emotions.
Recognition and facial identification with the use of artificial vision tools.
Trim only from the face.
Obtaining the reference points through a file.
Coordinates of the different points with the use of the Dlib tool.
Database with video images (28 FPS).
Artificial Intelligence algorithms evaluation for the control development for the emotional domotics cabin
Develop, implement and evaluate an AI (artificial intelligence algorithm) which has the capabilities to improve the emotional state from a person.
Evaluate the efficiency of the K-Means and Support Vector Machine algorithms.
Conclude the “Machine Learning” training (MOOC in Coursera platform).
Work and evaluate learned algorithms through MATLAB and SIMULINK software tools.
Energy Monitoring with IoT
Installing a measuring system of electric current in the project called "Habitáculo" and generate a data structure from these measurmentes
Installing a measuting systemn in a simple electric grid (Habitáculo).
Gather data of energy consumption inside a cloud platform
Create an application that can use this data to generate a data structure
Verify the data with direct measurments
Transfer facial expressions, based on an image or a video, to an avatar.
Adapt the images from different avatars to the ones generated in the software developed by the UEC.
Capture some transitive expressions through a sequence of images or video frames to use them in the future.
Finish the protocol or programs to be used in order to include new expressions with the use of different avatars.
Data acquisition and control system for the testing cabin for emotional domotics
Develop and evaluate an algorithm genrated in Simulink of MATHLAB for the reception, interpretation and transmission of KNX telgrams.
Implement the interpretation of received data of the KNX system.
Implement a program that is capable of modify in real time the environmental conditions of the testing cabin through the KNX standard.
Implement the optimization and communication between the KNX and server.
Testing cabin instrumentation
Complete instrumentation of the testing cabin looking for the accomplishment of the KNX® standard. Achive the transmission and reception of data in Matlab®.
Analyze, decode and replicate the communication protocol of the KNX® standard in Matlab®.
Obtain data of the KNX® modules, achive their control through sliding methods.
Transmit the obtained data to the neural network to the link to general control.
Develop a constant, specific and clear documentation.
Design an implementation of an intelligent control system for environment variables applied to an experimental room for the analysis and
Identification, acquisition and testing of functioning of the sysstem for the analysis of physiological signals.
Design, development and training of the intelligent control algorithm.
Design and implementation of a test protocol for the development of a data base
Clinic investigation protocols development for the design of stress tests for emotional domotics applications.
Develop the clinic investigation protocol about the stress tests for the emotional domotics application.
Investigation of similar projects.
Generation of the application stress test logistic.
Design of a testing cabin for Emotional Domotics applications.
Develop solutions based in mathematics models of the testing cabin, to implement the control of the diferen variables; temperature,humidity and illumination.
Implement temperature modeling inside the testing cabine according to their characteristics.
Select different types of hardware to be used.
Verify the controllability of certain lamps.
Full simulation of the testing cabin.
Implement the control system of the temperature and humidity.
Instituto Tecnológico y de Estudios Superiores de Monterrey. México 2018.