A method for Kinematic Calibration of a Parallel Robot by using one camera in hand and a spherical object

The main purpose of robot calibration is the correction of the possible errors in the robot parameters. This paper presents a method for a kinematic calibration of a parallel robot that is equipped with one camera in hand. In order to preserve the mechanical configuration of the robot, the camera is utilized to acquire incremental positions of the end effector from a spherical object that is fixed in the word reference frame. The positions of the end effector are related to incremental positions of resolvers of the motors of the robot, and a kinematic model of the robot is used to find a new group of parameters which minimizes errors in the kinematic equations. Additionally, properties of the spherical object and intrinsic camera parameters are utilized to model the projection of the object in the image and improving spatial measurements. Finally, the robotic system is designed to carry out tracking tasks and the calibration of the robot is validated by means of integrating the errors of the visual controller.

Hand Image Segmentation by means of Gaussian Multiscale Aggregation for biometric applications

Applying biometrics to daily scenarios involves demanding requirements in terms of software and hardware. On the contrary, current biometric techniques are also being adapted to present-day devices, like mobile phones, laptops and the like, which are far from meeting the previous stated requirements. In fact, achieving a combination of both necessities is one of the most difficult problems at present in biometrics. Therefore, this paper presents a segmentation algorithm able to provide suitable solutions in terms of precision for hand biometric recognition, considering a wide range of backgrounds like carpets, glass, grass, mud, pavement, plastic, tiles or wood. Results highlight that segmentation accuracy is carried out with high rates of precision (F-measure 88%)), presenting competitive time results when compared to state-of-the-art segmentation algorithms time performance

Study of the effect of blurriness in image acquisition for Hand Biometrics in Mobile Devices

This paper presents a study on the effect of blurred images in hand biometrics. Blurred images simulates out-of-focus effects in hand image acquisition, a common consequence of unconstrained, contact-less and platform-free hand biometrics in mobile devices. The proposed biometric system presents a hand image segmentation based on multiscale aggregation, a segmentation method invariant to different changes like noise or blurriness, together with an innovative feature extraction and a template creation, oriented to obtain an invariant performance against blurring effects. The results highlight that the proposed system is invariant to some low degrees of blurriness, requiring an image quality control to detect and correct those images with a high degree of blurriness. The evaluation has considered a synthetic database created based on a publicly available database with 120 individuals. In addition, several biometric techniques could benefit from the approach proposed in this paper, since blurriness is a very common effect in biometric techniques involving image acquisition.

Towards hand biometrics in mobile devices

The increasing demand of security oriented to mobile applications has raised the attention to biometrics, as a proper and suitable solution for providing secure environment to mobile devices. With this aim, this document presents a biometric system based on hand geometry oriented to mobile devices, involving a high degree of freedom in terms of illumination, hand rotation and distance to camera. The user takes a picture of their own hand in the free space, without requiring any flat surface to locate the hand, and without removals of rings, bracelets or watches. The proposed biometric system relies on an accurate segmentation procedure, able to isolate hands from any background; a feature extraction, invariant to orientation, illumination, distance to camera and background; and a user classification, based on k-Nearest Neighbor approach, able to provide an accurate results on individual identification. The proposed method has been evaluated with two own databases collected with a HTC mobile. First database contains 120 individuals, with 20 acquisitions of both hands. Second database is a synthetic database, containing 408000 images of hand samples in different backgrounds: tiles, grass, water, sand, soil and the like. The system is able to identify individuals properly with False Reject Rate of 5.78% and False Acceptance Rate of 0.089%, using 60 features (15 features per finger)

A comparative study on unconstrained hand biometrics

Biometrics applied to mobile devices are of great interest for security applications. Daily scenarios can benefit of a combination of both the most secure systems and most simple and extended devices. This document presents a hand biometric system oriented to mobile devices, proposing a non-intrusive, contact-less acquisition process where final users should take a picture of their hand in free-space with a mobile device without removals of rings, bracelets or watches. The main contribution of this paper is threefold: firstly, a feature extraction method is proposed, providing invariant hand measurements to previous changes; second contribution consists of providing a template creation based on hand geometric distances, requiring information from only one individual, without considering data from the rest of individuals within the database; finally, a proposal for template matching is proposed, minimizing the intra-class similarity and maximizing the inter-class likeliness. The proposed method is evaluated using three publicly available contact-less, platform-free databases. In addition, the results obtained with these databases will be compared to the results provided by two competitive pattern recognition techniques, namely Support Vector Machines (SVM) and k-Nearest Neighbour, often employed within the literature. Therefore, this approach provides an appropriate solution to adapt hand biometrics to mobile devices, with an accurate results and a non-intrusive acquisition procedure which increases the overall acceptance from the final user.

Gaussian Multiscale Aggregation oriented to Hand Biometric Segmentation in Mobile Devices

New trends in biometrics are oriented to mobile devices in order to increase the overall security in daily actions like bank account access, e-commerce or even document protection within the mobile. However, applying biometrics to mobile devices imply challenging aspects in biometric data acquisition, feature extraction or private data storage. Concretely, this paper attempts to deal with the problem of hand segmentation given a picture of the hand in an unknown background, requiring an accurate result in terms of hand isolation. For the sake of user acceptability, no restrictions are done on background, and therefore, hand images can be taken without any constraint, resulting segmentation in an exigent task. Multiscale aggregation strategies are proposed in order to solve this problem due to their accurate results in unconstrained and complicated scenarios, together with their properties in time performance. This method is evaluated with a public synthetic database with 480000 images considering different backgrounds and illumination environments. The results obtained in terms of accuracy and time performance highlight their capability of being a suitable solution for the problem of hand segmentation in contact-less environments, outperforming competitive methods in literature like Lossy Data Compression image segmentation (LDC).

Unconstrained and Contactless Hand Geometry Biometrics

This paper presents a hand biometric system for contact-less, platform-free scenarios, proposing innovative methods in feature extraction, template creation and template matching. The evaluation of the proposed method considers both the use of three contact-less publicly available hand databases, and the comparison of the performance to two competitive pattern recognition techniques existing in literature: namely Support Vector Machines (SVM) and k-Nearest Neighbour (k-NN). Results highlight the fact that the proposed method outcomes existing approaches in literature in terms of computational cost, accuracy in human identification, number of extracted features and number of samples for template creation. The proposed method is a suitable solution for human identification in contact-less scenarios based on hand biometrics, providing a feasible solution to devices with limited hardware requirements like mobile devices

Gaussian Multiscale Aggregation Applied to Segmentation in Hand Biometrics

This paper presents an image segmentation algorithm based on Gaussian multiscale aggregation oriented to hand biometric applications. The method is able to isolate the hand from a wide variety of background textures such as carpets, fabric, glass, grass, soil or stones. The evaluation was carried out by using a publicly available synthetic database with 408,000 hand images in different backgrounds, comparing the performance in terms of accuracy and computational cost to two competitive segmentation methods existing in literature, namely Lossy Data Compression (LDC) and Normalized Cuts (NCuts). The results highlight that the proposed method outperforms current competitive segmentation methods with regard to computational cost, time performance, accuracy and memory usage.

An approach to hand biometrics in mobile devices

This paper focuses on hand biometrics applied to images acquired from a mobile device. The system offers the possibility of identifying individuals based on features extracted from hand pictures obtained with a low-quality camera embedded on a mobile device. Furthermore, the acquisitions have been carried out regardless illumination control, orientation, distance to camera, and similar aspects. In addition, the whole system has been tested with an owned database. Finally, the results obtained (6.0% ± 0.2) and the algorithm structure are both promising in relation to a posterior mobile implementation

Applications of Infrared Thermography as innovative technological solution in sports injuries

Infrared thermography IR is a technique, which allows us to get rapidly and non-invasive thermal images from objects or human beings. (Barnes, 1967). In Medicine, its usefulness as diagnosis tool was accepted decades ago (BenEliyahu, 1990), but other techniques with a higher efficiency -such as magnetic resonance or x-rays- ousted it. Nevertheless, the technological improvements on thermographic cameras and new studies on sport injuries are reinforcing new applications (Ring, 2006)

Influencia de la información termográfica infrarroja en el protocolo de prevención de lesiones de un equipo de fútbol profesional español

El fútbol es un deporte en cuya práctica existe una alta incidencia de lesión. Además, en el ámbito profesional las lesiones suponen un duro proceso de recuperación para el futbolista, una reducción del rendimiento deportivo para éste y para el equipo, y unos grandes costes económicos para el club. Dentro de esta problemática, la bibliografía consultada concluye que en las pretemporadas se produce una mayor incidencia de lesión por sobrecarga, es decir, sin contacto; un tipo de lesiones que está a nuestro alcance poder prevenir. Por ello, consideramos importante el conocer y desarrollar métodos, herramientas y principios para obtener programas preventivos efectivos, que reduzcan las elevadas cifras de incidencia de lesión mostradas por la literatura. El presente estudio observa y registra las lesiones, a través del cuestionario F-MARC, de un equipo profesional de fútbol de la Liga Española durante las pretemporadas 2008 (n=24) y 2009 (n=24). Además, durante la pretemporada 2009 se aplicó la termografía infrarroja para adquirir información sobre la asimilación de la carga de entrenamiento por parte de los jugadores, y dicha información se utilizarón para mejorar las tomas de decisiones de protocolos post-ejercicio específicos en prevención de lesiones, los cuales fueron los mismos que se utilizaron previamente en la pretemporada 2008. El estudio tiene un diseño con características pre-post sin grupo de control. Es un estudio longitudinal donde, tras un registro inicial de lesiones en la pretemporada 2008, los sujetos fueron expuestos a la variable independiente, utilización de la termografía infrarroja, en el protocolo de prevención de lesiones durante la pretemporada 2009. Los resultados de este trabajo muestran una reducción significativa de hasta el 60% en la frecuencia de lesión durante la pretemporada 2009, y un descenso de la incidencia de lesión total que pasa de 8,3 lesiones por cada 1000 horas de exposición en 2008 a 3,4 en 2009. Con ello, la probabilidad de lesión se redujo considerablemente pasando de un 85% de los jugadores lesionados en 2008 a un 26% en 2009; además, las lesiones de carácter muscular descendieron en 2009 un 70% con respecto al 2008, y los días de baja que causaron todas las lesiones pasó a reducirse un 91,8% en la pretemporada 2009. Por otro lado, el perfil térmico de los jugadores en función de su lateralidad y dominancia, guarda una gran similitud en sus temperaturas, tanto medias como máximas, con temperaturas más elevadas en la zona corporal lumbar y poplítea, y con temperaturas más bajas en tobillos y rodillas. Todas las zonas corporales estudiadas, exceptuando el tobillo (p<0,05), no presentan diferencias significativas entre ambos hemicuerpos, estableciendo un promedio de diferencia entre ambos lados de 0,06±0,16 ºC. Teniendo en cuenta estos resultados, consideramos el límite superior de normalidad de asimetría térmica bilateral en 0,3ºC para todas las zonas corporales estudiadas del miembro inferior exceptuando los tobillos. El parámetro ambiental que más relación tiene con la temperatura registrada por la cámara termográfica es la temperatura de la sala con un coeficiente de correlación cercano a r=1,00, seguido de la presión atmosférica con un coeficiente de correlación cercano r=0,50, y, por último, la humedad que no guarda ningún tipo de relación con la temperatura registrada en cada zona corporal en el rango de valores considerados en el estudio. Por otro lado, los resultados del ANOVA de un factor nos indican que existen diferencias de medias entre los tres grupos formados de temperatura ambiente de sala (1º=18º-21ºC, 2º=22º-24ºC y 3º=25º-31ºC). Además, los resultados de la prueba HSD de Tukey nos indican que existen diferencias entre cada uno de los grupos en todas las zonas corporales estudiadas exceptuando los tobillos. Por último, se propone la ecuación; TC-estándar = TC-real – [0,184 * (TS – 21ºC)] para predecir la influencia de la temperatura ambiente sobre la temperatura registrada por la cámara termográfica. Para concluir, tras los resultados obtenidos, podemos afirmar que la aplicación de un protocolo post-ejercicio de prevención de lesiones basado en la información adquirida a través de valoraciones con termografía infrarroja reduce la incidencia de lesión en el grupo de futbolistas profesionales estudiado. Tenemos que ser conscientes que nos encontramos ante un estudio de campo, donde existen muchos factores que han podido influenciar en los resultados y que son difíciles de controlar. Por lo tanto, debemos ser cautos y concluir que la información adquirida de las evaluaciones termográficas ha sido uno de los aspectos que ayudó a la reducción significativa de la incidencia de lesión en la pretemporada 2009 en el equipo de fútbol profesional español de este estudio, pero que seguramente hayan podido existir otros factores que también hayan favorecido este hecho. ABSTRACT Soccer is a sport with a high incidence of injury. Moreover, in professional soccer injuries lead to a tough recovery process for the players, a reduction athletic performance for them and for their teams, and large economic costs for the club. In this issue, the literature concludes that in the preseason a greater incidence of overuse injury occurs (ie, without contact), and this is a type of injury that we can prevent. Therefore, we consider that it is important to know and develop methods, tools and principles to obtain effective preventive programs that reduce the high injury incidence figures shown in the literature. This study observed and recorded injuries, through the questionnaire F-MARC, from a professional soccer team in the Spanish league during the preseason 2008 (n = 24) and 2009 (n = 24). Moreover, during the 2009 preseason infrared thermography was applied to acquire information about the assimilation of the training load by the players, and this information was used to improve the decision making in the specific post-exercise injury prevention protocols, which were the same used in the previous season 2008. The study had a pre-post design without control group. Is a longitudinal study where, after an initial registration of injuries in the 2008 preseason, subjects were exposed to the independent variable, using infrared thermography, included in the protocol for injury prevention during the 2009 preseason. The results of this study show a significant reduction of up to 60% in the frequency of injury during the 2009 preseason, and a decrease in total injury incidence passing from 8.3 injuries per 1000 hours of exposure in 2008 to 3.4 in 2008. With this, the likelihood of injury decreased significantly from 85% of the players injuried in 2008 to 26% in 2009, also muscle injuries in 2009 fell 70% compared to 2008, and sick leave days that caused by all the injuries happened were reduced a 91.8% in the 2009 preseason. On the other hand, the thermal profile of the players according to their laterality and dominance, is quiet similar in their temperatures, both average and maximum values, with an estimated average of the highest temperatures in the lower back and popliteal areas in the back areas, and lower temperatures in the ankles and knees. All body areas studied, except for the ankle (p <0.05), had no significant differences between both sides of the body, establishing an average difference between both sides of 0.06 ± 0.16 °C. Given these results, we consider the upper limit of normal bilateral thermal asymmetry 0.3 °C for all body areas studied in the lower limb except for ankles. The environmental parameter higher related with temperature recorded by the camera is the temperature of the room with a correlation coefficient close to r = 1.00, followed by atmospheric pressure with a correlation coefficient near r = 0.50, and finally, the humidity that, in the range of values considered in the study, it is not related with temperature in each body area. On the other hand, the results of one-way ANOVA indicate that there are differences between the three temperature of the room groups (1 ° = 18-21 °C, 2 º = 22-24 ºC and 3 º = 25-31 ºC). Moreover, the results of the Tukey HSD test indicate that there are differences between each of the groups for all body areas studied except the ankles. Finally, we propose the equation TC-standard = TC-real – [0,184 * (TS – 21ºC)] to predict the influence of temperature on the temperature recorded by the thermographic camera. In conclusion, we can say from our results that the implementation of a post-exercise injury prevention protocol based on information from assessments with infrared thermography reduces the incidence of injury in professional soccer players. We must be aware that we are facing a field study, where there are many factors that could influence the results and they are difficult to control. Therefore, we must be cautious and conclude that the information acquired from the thermographic evaluation has been one of the aspects that helped to significantly reduce the incidence of injury in the preseason 2009 in the Spanish professional football team, but probably they could exist other factors with a positive effect on the reduction of the injury rates.

Authentication in mobile devices through hand gesture recognition

This article proposes an innovative biometric technique based on the idea of authenticating a person on a mobile device by gesture recognition. To accomplish this aim, a user is prompted to be recognized by a gesture he/she performs moving his/her hand while holding a mobile device with an accelerometer embedded. As users are not able to repeat a gesture exactly in the air, an algorithm based on sequence alignment is developed to correct slight differences between repetitions of the same gesture. The robustness of this biometric technique has been studied within 2 different tests analyzing a database of 100 users with real falsifications. Equal Error Rates of 2.01 and 4.82% have been obtained in a zero-effort and an active impostor attack, respectively. A permanence evaluation is also presented from the analysis of the repetition of the gestures of 25 users in 10 sessions over a month. Furthermore, two different gesture databases have been developed: one made up of 100 genuine identifying 3-D hand gestures and 3 impostors trying to falsify each of them and another with 25 volunteers repeating their identifying 3- D hand gesture in 10 sessions over a month. These databases are the most extensive in published studies, to the best of our knowledge.

Design of a training tool for improving the use of hand-held detectors in humanitarian demining

Purpose – The purpose of this paper is to introduce the design of a training tool intended to improve deminers' technique during close-in detection tasks. Design/methodology/approach – Following an introduction that highlights the impact of mines and improvised explosive devices (IEDs), and the importance of training for enhancing the safety and the efficiency of the deminers, this paper considers the utilization of a sensory tracking system to study the skill of the hand-held detector expert operators. With the compiled information, some critical performance variables can be extracted, assessed, and quantified, so that they can be used afterwards as reference values for the training task. In a second stage, the sensory tracking system is used for analysing the trainee skills. The experimentation phase aims to test the effectiveness of the elements that compose the sensory system to track the hand-held detector during the training sessions. Findings – The proposed training tool will be able to evaluate the deminers' efficiency during the scanning tasks and will provide important information for improving their competences. Originality/value – This paper highlights the need of introducing emerging technologies for enhancing the current training techniques for deminers and proposes a sensory tracking system that can be successfully utilised for evaluating trainees' performance with hand-held detectors.

Influence of air drag on the optimal hand launching of a small, round projectile

Conditions leading to a maximum range for a small, round projectile, fired by hand, are discussed taking into account air drag and the dependence of the initial speed on the mass launched. Both the optimal angle of release for given projectile and initial speed, and the optimal radius for given density (i.e., among a bed of pebbles) are determined; an increase on the height of release is found to always decrease the angle and increase the radius. The influence of the projectile mass on the optimal manner of launching is considered. The validity of the approximations used in the analysis is discussed. Results from very simple measurements show good agreement with theory.

Design, implementation and evaluation of an unconstrained and contactless biometric system based on hand geometry and stress detection

Esta tesis propone un sistema biométrico de geometría de mano orientado a entornos sin contacto junto con un sistema de detección de estrés capaz de decir qué grado de estrés tiene una determinada persona en base a señales fisiológicas Con respecto al sistema biométrico, esta tesis contribuye con el diseño y la implementación de un sistema biométrico de geometría de mano, donde la adquisición se realiza sin ningún tipo de contacto, y el patrón del usuario se crea considerando únicamente datos del propio individuo. Además, esta tesis propone un algoritmo de segmentación multiescala para solucionar los problemas que conlleva la adquisición de manos en entornos reales. Por otro lado, respecto a la extracción de características y su posterior comparación esta tesis tiene una contribución específica, proponiendo esquemas adecuados para llevar a cabo tales tareas con un coste computacional bajo pero con una alta precisión en el reconocimiento de personas. Por último, este sistema es evaluado acorde a la norma estándar ISO/IEC 19795 considerando seis bases de datos públicas. En relación al método de detección de estrés, esta tesis propone un sistema basado en dos señales fisiológicas, concretamente la tasa cardiaca y la conductancia de la piel, así como la creación de un innovador patrón de estrés que recoge el comportamiento de ambas señales bajo las situaciones de estrés y no-estrés. Además, este sistema está basado en lógica difusa para decidir el grado de estrés de un individuo. En general, este sistema es capaz de detectar estrés de forma precisa y en tiempo real, proporcionando una solución adecuada para sistemas biométricos actuales, donde la aplicación del sistema de detección de estrés es directa para evitar situaciónes donde los individuos sean forzados a proporcionar sus datos biométricos. Finalmente, esta tesis incluye un estudio de aceptabilidad del usuario, donde se evalúa cuál es la aceptación del usuario con respecto a la técnica biométrica propuesta por un total de 250 usuarios. Además se incluye un prototipo implementado en un dispositivo móvil y su evaluación. ABSTRACT: This thesis proposes a hand biometric system oriented to unconstrained and contactless scenarios together with a stress detection method able to elucidate to what extent an individual is under stress based on physiological signals. Concerning the biometric system, this thesis contributes with the design and implementation of a hand-based biometric system, where the acquisition is carried out without contact and the template is created only requiring information from a single individual. In addition, this thesis proposes an algorithm based on multiscale aggregation in order to tackle with the problem of segmentation in real unconstrained environments. Furthermore, feature extraction and matching are also a specific contributions of this thesis, providing adequate schemes to carry out both actions with low computational cost but with certain recognition accuracy. Finally, this system is evaluated according to international standard ISO/IEC 19795 considering six public databases. In relation to the stress detection method, this thesis proposes a system based on two physiological signals, namely heart rate and galvanic skin response, with the creation of an innovative stress detection template which gathers the behaviour of both physiological signals under both stressing and non-stressing situations. Besides, this system is based on fuzzy logic to elucidate the level of stress of an individual. As an overview, this system is able to detect stress accurately and in real-time, providing an adequate solution for current biometric systems, where the application of a stress detection system is direct to avoid situations where individuals are forced to provide the biometric data. Finally, this thesis includes a user acceptability evaluation, where the acceptance of the proposed biometric technique is assessed by a total of 250 individuals. In addition, this thesis includes a mobile implementation prototype and its evaluation.