Hand gesture recognition system based in computer vision and machine learning

"Lecture notes in computational vision and biomechanics series, ISSN 2212-9391, vol. 19"

Enrollment time as a requirement for biometric hand recognition systems

Biometric systems are increasingly being used as a means for authentication to provide system security in modern technologies. The performance of a biometric system depends on the accuracy, the processing speed, the template size, and the time necessary for enrollment. While much research has focused on the first three factors, enrollment time has not received as much attention. In this work, we present the findings of our research focused upon studying user’s behavior when enrolling in a biometric system. Specifically, we collected information about the user’s availability for enrollment in respect to the hand recognition systems (e.g., hand geometry, palm geometry or any other requiring positioning the hand on an optical scanner). A sample of 19 participants, chosen randomly apart their age, gender, profession and nationality, were used as test subjects in an experiment to study the patience of users enrolling in a biometric hand recognition system.

Nonlinear optimization for human-like synchronous movements of a dual arm-hand robotic system

In previous work we have presented a model capable of generating human-like movements for a dual arm-hand robot involved in human-robot cooperative tasks. However, the focus was on the generation of reach-to-grasp and reach-to-regrasp bimanual movements and no synchrony in timing was taken into account. In this paper we extend the previous model in order to accomplish bimanual manipulation tasks by synchronously moving both arms and hands of an anthropomorphic robotic system. Specifically, the new extended model has been designed for two different tasks with different degrees of difficulty. Numerical results were obtained by the implementation of the IPOPT solver embedded in our MATLAB simulator.

Hand gesture recognition system based in computer vision and machine learning: Applications on human-machine interaction

Tese de Doutoramento em Engenharia de Eletrónica e de Computadores

Tradução e adaptação transcultural do Michigan Hand Outcomes Questionnaire

INTRODUÇÃO: Atualmente há um aumento crescente no número de diagnósticos de artrite reumatoide, seja graças à evolução dos métodos diagnósticos ou a intensas pesquisas realizadas na área de reumatologia, porém há uma lacuna quanto a instrumentos de medidas para acompanhamento no campo físico e psíquico da evolução dessa doença, que pode causar limitações físicas graves com o seu avanço, além do comprometimento de diversos aspectos da qualidade de vida. OBJETIVO: Este estudo tem como objetivo desenvolver a versão em português brasileiro do Michigan Hand Outcomes Questionnaire, um instrumento de avaliação e monitoramento do estado de saúde em pacientes com transtornos e doenças que incapacitam as atividades cotidianas realizadas pelas suas mãos. MÉTODOS: Foram realizadas duas traduções e retrotraduções por avaliadores independentes e cegos quanto ao instrumento original, seguidas de composição de uma versão sintética, testada experimentalmente em um grupo de sujeitos da população geral e também pacientes com diagnóstico de artrite. RESULTADOS: São apresentadas todas as fases do processo. A participação de tradutores especialistas em saúde mental, reumatologia e ortopedia favoreceu a adequação dos termos utilizados ao construto mensurado. A aplicação experimental evidenciou a correta compreensão de todos os itens, quanto ao seu significado, por todos os respondentes. CONCLUSÃO: Elaborada a versão em português brasileiro da Michigan Hand Outcomes Questionnaire.

Hand gesture spotting and recognition using HMMs and CRFs in color image sequences

Magdeburg, Univ., Fak. für Elektrotechnik und Informationstechnik, Diss., 2010

Static and dynamic interpretations of hand specific body language cues for HCI

Otto-von-Guericke-Universität Magdeburg, Fakultät für Elektrotechnik und Informationstechnik, Univ., Dissertation, 2015

Calliphorid fly (Diptera, Calliphoridae) attraction to different colored traps in the Tingua Biological Reserve, Rio de Janeiro, Brazil

The present study intended to analyze calliphorid attraction to traps painted in a variety of colors and the calliphorid constancy index in the Tingua Biological Reserve, Rio de Janeiro state, Brazil. The Diptera were collected monthly in the Reserve, between 2002 and 2005, totaling 24 samplings. Four traps containing sardines as bait were painted olive green, blood red, black, or white and exposed for 48 h at four equidistant points, 50 m from each other. To determine the calliphorid species constancy, the Bodenheirmer constancy index was used throughout the study. To analyze differences in the total abundance between species and in their color selection, an ANCOVA test with a significance level of 5 % and a Tukey post-test were used, considering the categories species and color as cofactors and climatic variables as co-variables (temperature, relative humidity and precipitation), since the samples were collected over two years. 10,444 insects were captured. Of these, 56 % belonged to the Calliphoridae family, totaling 13 species, with the most frequent species being Laneela nigripes (28.5 %), Hemilucilia semidiaphana (17 %), and Mesembrinella sp. (16.4 %). The other species had frequencies lower than 12 %. Nine species were considered constant, two accessories, and two accidental. The data indicated that the most frequent species presented significant differences between themselves concerning abundance over the captured months, however, the Tukey post-test indicated differences only between a few of them. The black trap presented the higher relative calliphorid frequency (27.34 %), followed by green (25 %), red (24.0 %), and white (23.7 %), although the species abundance in the different colored traps did not differ significantly among themselves. Therefore, there was no Calliphorid flies preference for any of the tested colors.

Jade: a study in Chinese archaeology and religion / by Berthold Laufer. 68 plates, 6 of which are colored and 204 text-figures.

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