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"

Generic system for human-computer gesture interaction: applications on sign language recognition and robotic soccer refereeing

Hand gestures are a powerful way for human communication, with lots of potential applications in the area of human computer interaction. Vision-based hand gesture recognition techniques have many proven advantages compared with traditional devices, giving users a simpler and more natural way to communicate with electronic devices. This work proposes a generic system architecture based in computer vision and machine learning, able to be used with any interface for human-computer interaction. The proposed solution is mainly composed of three modules: a pre-processing and hand segmentation module, a static gesture interface module and a dynamic gesture interface module. The experiments showed that the core of visionbased interaction systems could be the same for all applications and thus facilitate the implementation. For hand posture recognition, a SVM (Support Vector Machine) model was trained and used, able to achieve a final accuracy of 99.4%. For dynamic gestures, an HMM (Hidden Markov Model) model was trained for each gesture that the system could recognize with a final average accuracy of 93.7%. The proposed solution as the advantage of being generic enough with the trained models able to work in real-time, allowing its application in a wide range of human-machine applications. To validate the proposed framework two applications were implemented. The first one is a real-time system able to interpret the Portuguese Sign Language. The second one is an online system able to help a robotic soccer game referee judge a game in real time.

Vision-based portuguese sign language recognition system

Vision-based hand gesture recognition is an area of active current research in computer vision and machine learning. Being a natural way of human interaction, it is an area where many researchers are working on, with the goal of making human computer interaction (HCI) easier and natural, without the need for any extra devices. So, the primary goal of gesture recognition research is to create systems, which can identify specific human gestures and use them, for example, to convey information. For that, vision-based hand gesture interfaces require fast and extremely robust hand detection, and gesture recognition in real time. Hand gestures are a powerful human communication modality with lots of potential applications and in this context we have sign language recognition, the communication method of deaf people. Sign lan- guages are not standard and universal and the grammars differ from country to coun- try. In this paper, a real-time system able to interpret the Portuguese Sign Language is presented and described. Experiments showed that the system was able to reliably recognize the vowels in real-time, with an accuracy of 99.4% with one dataset of fea- tures and an accuracy of 99.6% with a second dataset of features. Although the im- plemented solution was only trained to recognize the vowels, it is easily extended to recognize the rest of the alphabet, being a solid foundation for the development of any vision-based sign language recognition user interface system.

An integrated system for human action recognition from video using hidden Markov model

In this paper, we present an integrated system for real-time automatic detection of human actions from video. The proposed approach uses the boundary of humans as the main feature for recognizing actions. Background subtraction is performed using Gaussian mixture model. Then, features are extracted from silhouettes and Vector Quantization is used to map features into symbols (bag of words approach). Finally, actions are detected using the Hidden Markov Model. The proposed system was validated using a newly collected real- world dataset. The obtained results show that the system is capable of achieving robust human detection, in both indoor and outdoor environments. Moreover, promising classification results were achieved when detecting two basic human actions: walking and sitting.

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.

Honours students: good marks and what else?

Currently in Portugal academic excellence in higher education is given recognition through merit prizes. Because honours students can be seen as having the potential to achieve imporant levels of professional expertise, especially if they have some personal skills, it is important to know not only the marks of the students but also the personal characteristics that contribute to academic success and which may also be important for career success. Some theoretical models of giftedness and excellence agree with this idea and this work considers the latest contribution of Renzulli (2005) where it is pointed out that excellent achievements result from the combination of motivational, intellectual and creative factors as well as from co-cognitive factors which are most associated with personality functioning in a particular context. The main purpose of this paper is to analyze how honours students differ from their classmates in various psychological dimensions: Cognition-creativity, Motivation and Learning Strategies, Persistence, Social Interaction, Drive for Excellence and Cultural Interest. These dimensions were measured by the Inventory of Psychological Characteristics Associated with Academic Performance (ICPADA), which was constructed taking into consideration the previous study of Scaeger et al. (2012). The sample included 914 Portuguese higher educatoin students from a first cycle degree in the Bologna process. Participants were selected from three different fields of study: Social and Human Sciences; Science and Technology; Arts and Humanities. The data collected through the administration of the ICPADA was presented, and the results revealed a higher self-perception by honours students in all areas analyzed, with the exception of the dimension of social interaction. In addition an interaction effect was revealed for persistence, social interaction, and cultural interest. The field of study and whether the participants were honours students or not were also taken into account. Some implications for future studies are presented here along with possible interventions for honours students.

O novo ecossistema comunicacional e a socialização de crianças e jovens no espaço cultural da lusofonia: contributos da literatura infantojuvenil

Partindo da configuração de um novo ecossistema comunicacional, que tem na internet o seu epicentro, procura-se refletir sobre a influência do mesmo na socialização de crianças e jovens, através da análise da presença de literatura infantojuvenil neste novo media. A observação de que os dispositivos de comunicação digital alargam as oportunidades de acesso à informação entre cidadãos que falam, pensam e sentem em língua portuguesa, foca a questão no espaço cultural da lusofonia.

Apresentação: Lusofonias - reinvenção de comunidades e combate linguístico-cultural

[Excerto] Lusofonia e Interculturalidade. Promessa e Travessia debate a questão lusófona, em três aspetos principais. No atual contexto da globalização, que é uma realidade de cariz eminentemente económico-financeiro, comandada pelas tecnologias da informação, esta obra interroga o sentido das narrativas (literárias e mediáticas, e também das narrativas de histórias de vida) sobre a construção de uma comunidade geocultural transnacional e transcontinental lusófona. Interroga, igualmente, as políticas da língua e da comunicação como combate simbólico pela afirmação de uma comunidade plural, na diversidade de povos e culturas lusófonas. E interroga, ainda, a complexidade do movimento de interpenetração das culturas, o qual, com gradações diversas, que compreendem colonialismo, neocolonialismo e pós-colonialismo, na relação entre povos, traduz o encontro, a assimilação e a dominação, na interação entre nós e o outro. Sendo este o plano geral da obra Lusofonia e Interculturalidade, misturam-se nela distintos regimes do olhar, específicos das Ciências Sociais e Humanas, que vão da sócio-antropologia, à psicologia social, à ciência política e às ciências da comunicação, e da linguística, aos estudos literários, à história e às ciências da educação.

Culturas de escola e celebração da excelência: cartografia das distinções em Portugal

As orientações de política educativa de âmbito global têm colocado no centro das suas prioridades a promoção da excelência, da qualidade e da eficácia dos sistemas de ensino e formação. Este texto propõe-se debater o impacto desta agenda na realidade educativa portuguesa a partir de um olhar sobre a política em estado prático, isto é, sobre os mecanismos de apropriação ocorridos no espaço organizacional e sua articulação com as especificidades culturais da escola. À luz deste enfoque, pretende-se compreender de que forma a cultura de escola redefine localmente a sua missão educativa, ajustando-a aos propósitos democráticos e igualitários e/ou às exigências de promoção da excelência e do mérito. Partindo da hipótese de que as dimensões culturais exercem um papel central na recontextualização das políticas educativas, procurou-se identificar no sistema educativo português o alcance de um dos rituais mais expressivos da missão da escola: os rituais de distinção dos melhores alunos. Da análise de conteúdo efetuada a cerca de 1500 documentos produzidos no contexto das escolas públicas com ensino secundário, resultou um mapeamento nacional dos rituais de distinção. As conclusões apontam para uma forte adesão das instituições com ensino secundário aos rituais de distinção ou de reconhecimento público do mérito. Contudo, nem a sua configuração nem os critérios de seleção apresentam um carácter uniforme, o que nos aponta para a existência de distintas concetualizações de excelência decorrentes das diferentes culturas de escola e do seu papel na definição da sua política e do seu critério de sucesso.

Estudo da influência cultural no Design de Calçado

Dissertação de mestrado em Design e Marketing

Forecasting human entrances at a commercial store using facial recognition data

Dissertação de mestrado integrado em Engenharia e Gestão de Sistemas de Informação

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

A música clássica: um objeto cultural, artístico e comunicacional para o desenvolvimento humano

Dissertação de mestrado em Comunicação, Arte e Cultura