Happiness and victimization in Latin America

In recent decades, studies on economics have identified happiness as a life quality indicator that not only accounts for individuals’ socioeconomic improvement but also accounts for their interactions with institutions and public goods, such as personal safety and protection of life. This study examines the determinants of individual happiness of Latin American citizens by focusing on whether the individual had been a victim of a crime in the last twelve months. To do this, a generalized ordered logit with partial constraints is used to analyze data obtained from the Americas Barometer Survey of 2014. The individual self- reported level of life satisfaction is used to study its relationship with having been a victim of a crime during the previous year. The results suggest the existence of a negative relationship between having been a victim of a crime in the past twelve months and being very satisfied with life.

An approach to emotion recognition in single-channel EEG signals: a mother child interaction

In this work, we perform a first approach to emotion recognition from EEG single channel signals extracted in four (4) mother-child dyads experiment in developmental psychology -- Single channel EEG signals are analyzed and processed using several window sizes by performing a statistical analysis over features in the time and frequency domains -- Finally, a neural network obtained an average accuracy rate of 99% of classification in two emotional states such as happiness and sadness

Multiresolution analysis (discrete wavelet transform) through Daubechies family for emotion recognition in speech

We propose a study of the mathematical properties of voice as an audio signal -- This work includes signals in which the channel conditions are not ideal for emotion recognition -- Multiresolution analysis- discrete wavelet transform – was performed through the use of Daubechies Wavelet Family (Db1-Haar, Db6, Db8, Db10) allowing the decomposition of the initial audio signal into sets of coefficients on which a set of features was extracted and analyzed statistically in order to differentiate emotional states -- ANNs proved to be a system that allows an appropriate classification of such states -- This study shows that the extracted features using wavelet decomposition are enough to analyze and extract emotional content in audio signals presenting a high accuracy rate in classification of emotional states without the need to use other kinds of classical frequency-time features -- Accordingly, this paper seeks to characterize mathematically the six basic emotions in humans: boredom, disgust, happiness, anxiety, anger and sadness, also included the neutrality, for a total of seven states to identify

¿Costumbre o Reacción? El efecto de ser víctima de delitos y corrupción en la satisfacción con la vida de los colombianos

Colombia ha sido un país con una larga historia de violencia y corrupción, por lo que se hace importante analizar la relación entre la victimización de dichos delitos sufrida por los individuos y su percepción de satisfacción con la vida. Se utiliza información entre 2004 y 2014 contenida en LAPOP, a manera de secciones transversales repetidas. Con el fin de encontrar dicho efecto, se estima robustamente un modelo probabilístico ordenado, en donde los resultados sugieren que la victimización del último año reduce en 6.7 puntos porcentuales la probabilidad de sentirse muy satisfecho con la vida y el haber sido víctima de algún soborno en 5 puntos porcentuales.