Identificación Biométrica en empresas de Bogotá-beneficios y riesgos

Nowadays with new technologies, companies have been interested in tools that allow them to maintain and access information securely, due to the new business models and work modalities that require the comfort and ease of handling these dates. In this article we will focus on the description of the different methods of biometric implementation, their benefits and risks and the acceptance that they have had in organizations as a security strategy.Hoy en día con las nuevas tecnologías, las empresas se han interesado en herramientas que les permitan mantener y acceder de forma segura a la información, esto debido a los nuevos modelos de negocio y modalidades de trabajo que requieren la comodidad y facilidad para el manejo de estos datos. En este artículo nos centraremos en la descripción de los diferentes métodos de implementación biométrica, sus beneficios y riesgos y la aceptación que ha tenido en las organizaciones como estrategia de segurida

On the Recognition of Emotion from Physiological Data

This work encompasses several objectives, but is primarily concerned with an experiment where 33 participants were shown 32 slides in order to create ‗weakly induced emotions‘. Recordings of the participants‘ physiological state were taken as well as a self report of their emotional state. We then used an assortment of classifiers to predict emotional state from the recorded physiological signals, a process known as Physiological Pattern Recognition (PPR). We investigated techniques for recording, processing and extracting features from six different physiological signals: Electrocardiogram (ECG), Blood Volume Pulse (BVP), Galvanic Skin Response (GSR), Electromyography (EMG), for the corrugator muscle, skin temperature for the finger and respiratory rate. Improvements to the state of PPR emotion detection were made by allowing for 9 different weakly induced emotional states to be detected at nearly 65% accuracy. This is an improvement in the number of states readily detectable. The work presents many investigations into numerical feature extraction from physiological signals and has a chapter dedicated to collating and trialing facial electromyography techniques. There is also a hardware device we created to collect participant self reported emotional states which showed several improvements to experimental procedure