Hand gesture recognition for human computer interaction : a comparative study of different image features

Hand gesture recognition for human computer interaction, being a natural way of human computer interaction, is an area of active research in computer vision and machine learning. This is an area with many different possible applications, giving users a simpler and more natural way to communicate with robots/systems interfaces, without the need for extra devices. So, the primary goal of gesture recognition research is to create systems, which can identify specific human gestures and use them to convey information or for device control. For that, vision-based hand gesture interfaces require fast and extremely robust hand detection, and gesture recognition in real time. In this study we try to identify hand features that, isolated, respond better in various situations in human-computer interaction. The extracted features are used to train a set of classifiers with the help of RapidMiner in order to find the best learner. A dataset with our own gesture vocabulary consisted of 10 gestures, recorded from 20 users was created for later processing. Experimental results show that the radial signature and the centroid distance are the features that when used separately obtain better results, with an accuracy of 91% and 90,1% respectively obtained with a Neural Network classifier. These to methods have also the advantage of being simple in terms of computational complexity, which make them good candidates for real-time hand gesture recognition.

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.

Ergonomic analysis in a food packaging workplace

Work-related musculoskeletal disorders (WMSD) became one of the biggest health problems in the workplace and one of the main concerns of ergonomics and despite all the technical improvements manual handling is still an important risk factor for WMSD. The current study was performed with the main objective of conducting an ergonomic analysis in a workplace that consists in packaging products in a pallet, in a food distribution industry, also called picking. In this perspective, the aim of the study is to identify if the tasks performed by operators present any risk of WMSD and, if so, to suggest proposals for minimizing the associated effort. The methodologies of ergonomic risk assessment that were initially applied were the Risk Reckoner and the Manual Handling Assessment Chart (MAC). Subsequently, in order to, on the one hand, complement the analysis performed using the two methods previously mentioned, and, on the other hand, allow an assessment of two important risk factors associated with this activity (work postures and loads handling), two additional methodologies were also selected: the Revised NIOSH Lifting Equation and the Rapid Entire Body Assessment (REBA). In all the performed approaches, the tasks of palletizing at lower levels were identified as the ones that most penalize workers in what regards the risk of development of WMSD. All methodologies identified levels of risk that require an immediate or short-term ergonomic intervention, aiming at ensuring the safety and health of workers performing such activity. The implementation of measures designed to eliminate or minimize the risk may involve the allocation of significant human and material resources that is increasingly necessary to manage efficiently. Taking into account the complexity and variability of the developed tasks, it is recommended that such a decision can be preceded by a new study using more accurate risk assessment methodologies, such as those that use monitoring tools.

Construção de um manual de codificação e interpretação de memórias autobiográficas

Dissertação de mestrado integrado em Psicologia

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.

Comparação entre métodos de avaliação do risco de desenvolvimento de lesões musculoesqueléticas nas extremidades distais dos membros superiores: um estudo em trabalhos de montagem manual

Dissertação de mestrado em Engenharia Humana

Predicting the distribution of forest tree species using topographic variables and vegetation index in eastern Acre, Brazil

Species distribution modeling has relevant implications for the studies of biodiversity, decision making about conservation and knowledge about ecological requirements of the species. The aim of this study was to evaluate if the use of forest inventories can improve the estimation of occurrence probability, identify the limits of the potential distribution and habitat preference of a group of timber tree species. The environmental predictor variables were: elevation, slope, aspect, normalized difference vegetation index (NDVI) and height above the nearest drainage (HAND). To estimate the distribution of species we used the maximum entropy method (Maxent). In comparison with a random distribution, using topographic variables and vegetation index as features, the Maxent method predicted with an average accuracy of 86% the geographical distribution of studied species. The altitude and NDVI were the most important variables. There were limitations to the interpolation of the models for non-sampled locations and that are outside of the elevation gradient associated with the occurrence data in approximately 7% of the basin area. Ceiba pentandra (samaúma), Castilla ulei (caucho) and Hura crepitans (assacu) is more likely to occur in nearby water course areas. Clarisia racemosa (guariúba), Amburana acreana (cerejeira), Aspidosperma macrocarpon (pereiro), Apuleia leiocarpa (cumaru cetim), Aspidosperma parvifolium (amarelão) and Astronium lecointei (aroeira) can also occur in upland forest and well drained soils. This modeling approach has potential for application on other tropical species still less studied, especially those that are under pressure from logging.

Preferência musical e risco de suicídio entre jovens

OBJETIVOS: Considerando-se que vários estudos internacionais indicam que a preferência musical, especialmente pelo heavy metal, correlaciona-se ao suicídio, objetivou-se na presente pesquisa conhecer as relações entre preferência musical e risco de suicídio. MÉTODOS: Participaram 200 estudantes universitários de diversos cursos de uma universidade pública da cidade de João Pessoa, PB, com idade média de 22 anos (DP = 4,77). Estes responderam à Escala Abreviada de Preferência Musical, que visa mensurar a preferência musical com relação a 14 gêneros musicais, e o Inventário de Razões para Viver (RFL), que objetiva aferir as razões que as pessoas têm para viver. RESULTADOS: De acordo com os resultados, verificaram-se correlações entre a pontuação total da RFL e os gêneros musicais convencional (positiva) e alternativo (negativa). Pôde-se ainda verificar que a preferência musical pelo estilo convencional foi um preditor de menor risco de suicídio entre jovens. CONCLUSÕES: Esta pesquisa demonstra a importância de mais uma variável, no caso a preferência musical, para entender o risco de suicídio entre jovens. Mas outros estudos devem ser realizados no contexto brasileiro para que se possa entender melhor essa relação.

Os manuais e a reforma do ensino liceal de 1936 em Portugal. Um prólogo para a história do manual único

[Excerto] Na presente reflexão pretendemos sondar os objetivos que foram sendo propostos para o ensino secundário após o golpe militar de 28 de maio de 1926. A um primeiro momento, designado de Ditadura Militar, sucedeu a configuração do denominado Estado Novo, sendo este período pautado, no essencial, pela sistemática explicitação do modo como se constituiu a lapidar e necessária educação nacionalista, neste clima, o Liceu é concebido como o espaço de afirmação e de formação das elites do regime. Os princípios conservadores, totalitários e de estancamento da mobilidade social, foram expressos numa progressiva definição, cada vez mais radical, nos seus enunciados1. Para darmos conta desta trajetória, dividiremos a nossa reflexão em duas partes (...).

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.