Search results for "Video"

Multi-temporal and Multi-source Remote Sensing Image Classification by Nonlinear Relative Normalization

2016

Remote sensing image classification exploiting multiple sensors is a very challenging problem: data from different modalities are affected by spectral distortions and mis-alignments of all kinds, and this hampers re-using models built for one image to be used successfully in other scenes. In order to adapt and transfer models across image acquisitions, one must be able to cope with datasets that are not co-registered, acquired under different illumination and atmospheric conditions, by different sensors, and with scarce ground references. Traditionally, methods based on histogram matching have been used. However, they fail when densities have very different shapes or when there is no corres…

New Similarity Rules for Mining Data

2006

Variability and noise in data-sets entries make hard the discover of important regularities among association rules in mining problems. The need exists for defining flexible and robust similarity measures between association rules. This paper introduces a new class of similarity functions, SF's, that can be used to discover properties in the feature space X and to perform their grouping with standard clustering techniques. Properties of the proposed SF's are investigated and experiments on simulated data-sets are also shown to evaluate the grouping performance.

Sindrome del tunnel carpale: malattia professionale o patologia correlata al lavoro?

2011

La sindrome del tunnel carpale costituisce la più frequente neuropatia da compressione dell’arto superiore, originando dall’intrappolamento del nervo mediano nel canale carpale. Nel determinismo della sua comparsa risultano coinvolti numerosi fattori (precedenti fratture, traumatismi cronici, sport, hobbies, attività casalinghe). Vieppiù, è noto che tale malattia riconosce come primo momento etiopatogenetico non solo ripetuti movimenti di flesso-estensione del polso, ma anche malattie sistemiche o condizioni parafisiologiche (menopausa, gravidanza). La sindrome del tunnel carpale, se “secondaria” si manifesta generalmente con carattere di bilateralità soprattutto in donne tra i 30 ed i 60 a…

Study design of Heart failure Events reduction with Remote Monitoring and eHealth Support (HERMeS)

2020

Aims: The role of non‐invasive telemedicine (TM) combining telemonitoring and teleintervention by videoconference (VC) in patients recently admitted due to heart failure (HF) (‘vulnerable phase’ HF patients) is not well established. The aim of the Heart failure Events reduction with Remote Monitoring and eHealth Support (HERMeS) trial is to assess the impact on clinical outcomes of implementing a TM service based on mobile health (mHealth), which includes remote daily monitoring of biometric data and symptom reporting (telemonitoring) combined with VC structured, nurse‐based follow‐up (teleintervention). The results will be compared with those of the comprehensive HF usual care (UC) strateg…

Analisi video-oculografica degli smooth pursuit in pazienti affetti da schizofrenia e loro consanguinei

2009

EmoTIC: Impact of a game-based social-emotional programme on adolescents

2021

[EN] Introduction Technologies provide a brilliant opportunity to promote social-emotional competences, well-being and adjustment in adolescence. Game-based programmes and serious games are digital tools that pursue an educational goal in an attractive environment for adolescents. The purpose of this study was therefore to determine the effectiveness of emoTIC, a game-based social-emotional programme designed according to Mayer, Caruso, and Salovey's model of emotional intelligence. Materials and methods The participants were 119 adolescents between 11 and 15 years, randomly assigned to the experimental group and the control group. The adolescents completed questionnaires to assess their em…

DETECTING FALLS AT HOME: USER-CENTERED DESIGN OF A PERVASIVE TECHNOLOGY

2016

Falling is the main cause of domestic accidents and fatal injuries to seniors at home. In this paper, we describe the design process for a new pervasive technology (CIRDO). The aim of this technology is to detect falls (via audio and video sensors) and to alert the elderly's family or caregivers. Two complementary studies were performed. Firstly, the actual risk situations of older adults were analyzed. Secondly, social acceptance was investigated for the different homecare field stakeholders. Our results highlight the tensions among social actors towards the tool and their impacts on technology acceptance by the elderly. Also, we show a significant change in the fall process due to the dev…

Accurate Judgments of Neuroticism at Zero Acquaintance: A Question of Relevance

2014

Prior studies have consistently found a surprising inaccuracy of people's neuroticism judgments at zero acquaintance. Based on the Realistic Accuracy Model (Funder, 1995), we hypothesize that this is due to a lack of relevance of the situation in which targets are typically observed. Fifty participants were videotaped in a highly trait-relevant (i.e., socially stressful) situation as well as three less relevant situations. An aggregate of self-reports and informant reports was used as the accuracy criterion. Four independent groups of unacquainted observers judged participants' neuroticism based on these short video sequences. Results showed that neuroticism judgments were significantly mor…

Cognitive processes behind the shooter bias: Dissecting response bias, motor preparation and information accumulation

2021

Abstract A rich body of research points to racial biases in so-called police officer dilemma tasks: participants are generally faster and less error-prone to “shoot” (vs. not “shoot”) Black (vs. White) targets. In three experimental (and two supplemental) studies (total N = 914), we aimed at examining the cognitive processes underlying these findings under fully standardized conditions. To be able to dissect a-priori decision bias, biased information processing and motor preparation, we rendered video sequences of virtual avatars that differed in nothing but the tone of their skin. Modeling the data via drift diffusion models revealed that the threat of a social group can be explicitly lear…

Attention-Based Landmark Selection in Autonomous Robotics

2007

This paper describes a robotic architecture that uses visual attention mechanisms for autonomous navigation in unknown indoor environments. A foveation mechanism based on a bottom-up attention system allows the robot to autonomously select landmarks, defined as salient points in the camera images. Landmarks are memorized in a behavioral fashion by coupling sensing and acting to achieve a representation that is view and scale independent. Selected landmarks are stored in a topological map. During the navigation a top-down mechanism controls the attention system to achieve robot localization. Experiments and results show that our system is robust to noise and odometric errors, being at the sa…