No abstract

This project develops algorithms for the design and implementation of an embedded system in hydroponic gardens for homes located on roofs, terraces, and even in kitchens in the house; since a fishbowl is used. Vegetables, flowers, etc. are contemplated. One plant was obtained per seed. The development and care of Nature is also a special theme of this project with the objective of educating in the care of the environment, for which it is essential not to overlook the affection that one has for life. It is here that it is important to ensure that plants can transmit the physical conditions in which they find themselves through an emotional interface that translates the lack of water into an emotional state of sadness; or enough moisture with a state of joy. Thus a technique is presented, which allows through affective or emotional interfaces to educate owners about the care of the plant and take advantage of the emotional states of the people for the development of educational software.

No abstract

In this paper we propose a method to tracking facial expressions. A system with two cameras is used to capture stereoscopic video sequences. The frames are acquired and analyzed by matching two stereoscopic frames through a correlation method that performs image processing to obtain a resulting frame, and then it is processed to recognize a human face by using the Viola and Jones (VJ) method. The face is located via the Nitzberg operator and it provides the feature points of the eyes, eyebrows, nose and mouth, which are introduced into a Backpropagation neural network that is capable of learning and classifying different types of facial expressions that make a person, feel such as: surprised, scared, unhappy, sad, mad and happy. Finally, the result of this process is recognition of facial expressions.

No abstract