Towards a unified framework for hand-based methods in First Person Vision

First Person Vision (Egocentric) video analysis stands nowadays as one of the emerging fields in computer vision. The availability of wearable devices recording exactly what the user is looking at is ineluctable and the opportunities and challenges carried by this kind of devices are broad. Particularly, for the first time a device is so intimate with the user to be able to record the movements of his hands, making hand-based applications for First Person Vision one the most explored area in the field. This paper explores the more popular processing steps to develop hand-based applications, and proposes a hierarchical structure that optimally switches between each of the levels to reduce the computational cost of the system and improve its performance

Hand pose recognition in First Person Vision through graph spectral analysis

With the growing availability of wearable technology, video recording devices have become so intimately tied to individuals, that they are able to record the movements of users' hands, making hand-based applications one the most explored area in First Person Vision (FPV). In particular, hand pose recognition plays a fundamental role in tasks such as gesture and activity recognition, which in turn represent the base for developing human-machine interfaces or augmented reality applications. In this work we propose a graph-based representation of hands seen from the point of view of the user, obtained through the shape-fitting capability of a modified Instantaneous Topological Map. Spectral analysis of the graph Laplacian allows to arrange eigenvalues in vectors of features, which prove to be discriminative in classifying the considered hand poses

Maternal and perinatal results in high risk consultation at SES Hospital de Caldas, 2009-2011

Objetivo: Describir el resultado materno perinatal de las usuarias de la consulta de Alto Riesgo Obstétrico,  SES Hospital de Caldas, atendidas desde septiembre 1 de 2009 hasta el 31 de agosto de 2011; estableciendo  un comparativo con los resultados perinatales de las pacientes no consideradas de riesgo, dadas de alta de la consulta. Materiales y Métodos: Estudio de tipo prospectivo, descriptivo. Para la recolección de la  información se consultaron historias clínicas hospitalarias, obteniendo información telefónica de aquellas  pacientes que no presentaron su parto en la ciudad. Resultados: Se analizan 108 pacientes de la consulta, de las cuales 31 (28,18%) no continuaron en la consulta, por descartarse condiciones de riesgo. De las 77  embarazadas de riesgo, la edad promedio fue 29,1±7,8 años, con frecuencias de embarazo en adolescentes  del 13,15%, y primigestación tardía del 28,94%, el 31,6% eran nulíparas, y el 23,4% tenían antecedente de  aborto previo. Los antecedentes patológicos más significativos fueron: hipotiroidismo, hipertensión arterial  crónica, epilepsia, y preeclampsia-eclampsia. Los motivos de remisión más frecuentes fueron: cesárea previa, edad materna avanzada, sospecha de restricción del crecimiento fetal. No se encontraron diferencias en las  pacientes de bajo y alto riesgo, con respecto a edad, gravidez, escolaridad o procedencia; observándose  mayores frecuencias de bajo peso al nacer, macrosomía, prematurez, parto por cesárea, ingreso a UCI  neonatal y muerte perinatal, en las de alto riesgo. Conclusiones: Deben estandarizarse criterios de remisión  a la consulta de Alto Riesgo Obstétrico ya que en el 38,3% de las pacientes la evaluación inicial los descartó.Objective: To describe the maternal perinatal results of women using the high risk obstetric consultation,  SES Hospital de Caldas, attended between September 1, 2009 and August 31, 2011, establishing a comparison with the perinatal results of patients not considered at risk and discharged from consultation. Materials and  Methods: A prospective, descriptive study. Hospital records were consulted for the final data collection  obtaining telephone information from those patients who did not have labor and delivery in the city. Results: One hundred-eight consultation patients from which, 31 (28.18%) did not continue with the consultation  because risk condition was eliminated. From the 77 pregnant women at risk, the average age was 29.1±7.8  years, with 13.15%, adolescent pregnancy frequencies, 28.94% late first time mothers, 31.6% were  nulliparous, and 23.4% had a history of previous abortion. The most significant pathological history was:  hypothyroidism, chronic hypertension, epilepsy, and preeclampsia-eclampsia. The most common reasons for  referral were: previous cesarean, advanced maternal age, suspected fetal growth restriction. No differences  were found in patients at low risk and high risk, with respect to age, pregnancy, educational level or  procedence. increased frequencies of low birth weight, macrosomia, prematurity, cesarean delivery, neonatal ICU admission and perinatal death were found in at high risk patients. Conclusions: Referral criteria must be  standardized for high risk obstetric consultation since 38.3% patients were discarded in the initial assessment

A dynamic approach and a new dataset for hand-detection in first person vision

Hand detection and segmentation methods stand as two of the most most prominent objectives in First Person Vision. Their popularity is mainly explained by the importance of a reliable detection and location of the hands to develop human-machine interfaces for emergent wearable cameras. Current developments have been focused on hand segmentation problems, implicitly assuming that hands are always in the field of view of the user. Existing methods are commonly presented with new datasets. However, given their implicit assumption, none of them ensure a proper composition of frames with and without hands, as the hand-detection problem requires. This paper presents a new dataset for hand-detection, carefully designed to guarantee a good balance between positive and negative frames, as well as challenging conditions such as illumination changes, hand occlusions and realistic locations. Additionally, this paper extends a state-of-the-art method using a dynamic filter to improve its detection rate. The improved performance is proposed as a baseline to be used with the dataset

Revista Temas Agrarios Volumen 26; Suplemento 1 de 2021

1st International and 2nd National Symposium of Agronomic Sciences: The rebirth of the scientific discussion space for the Colombian Agro.1 Simposio Intenacional y 2 Nacional de Ciencias Agronómicas: El renacer del espacio de discusión científica para el Agro colombiano