A Computer Vision Framework For Finger-Tapping Evaluation In Parkinson's Disease

Objective: To define and evaluate a Computer-Vision (CV) method for scoring Paced Finger-Tapping (PFT) in Parkinson's disease (PD) using quantitative motion analysis of index-fingers and to compare the obtained scores to the UPDRS (Unified Parkinson's Disease Rating Scale) finger-taps (FT). Background: The naked-eye evaluation of PFT in clinical practice results in coarse resolution to determine PD status. Besides, sensor mechanisms for PFT evaluation may cause patients discomfort. In order to avoid cost and effort of applying wearable sensors, a CV system for non-invasive PFT evaluation is introduced. Methods: A database of 221 PFT videos from 6 PD patients was processed. The subjects were instructed to position their hands above their shoulders besides the face and tap the index-finger against the thumb consistently with speed. They were facing towards a pivoted camera during recording. The videos were rated by two clinicians between symptom levels 0-to-3 using UPDRS-FT. The CV method incorporates a motion analyzer and a face detector. The method detects the face of testee in each video-frame. The frame is split into two images from face-rectangle center. Two regions of interest are located in each image to detect index-finger motion of left and right hands respectively. The tracking of opening and closing phases of dominant hand index-finger produces a tapping time-series. This time-series is normalized by the face height. The normalization calibrates the amplitude in tapping signal which is affected by the varying distance between camera and subject (farther the camera, lesser the amplitude). A total of 15 features were classified using K-nearest neighbor (KNN) classifier to characterize the symptoms levels in UPDRS-FT. The target ratings provided by the raters were averaged. Results: A 10-fold cross validation in KNN classified 221 videos between 3 symptom levels with 75% accuracy. An area under the receiver operating characteristic curves of 82.6% supports feasibility of the obtained features to replicate clinical assessments. Conclusions: The system is able to track index-finger motion to estimate tapping symptoms in PD. It has certain advantages compared to other technologies (e.g. magnetic sensors, accelerometers etc.) for PFT evaluation to improve and automate the ratings

Road and Traffic Signs Recognition using Vector Machines

Intelligent Transportation System (ITS) is a system that builds a safe, effective and integrated transportation environment based on advanced technologies. Road signs detection and recognition is an important part of ITS, which offer ways to collect the real time traffic data for processing at a central facility.This project is to implement a road sign recognition model based on AI and image analysis technologies, which applies a machine learning method, Support Vector Machines, to recognize road signs. We focus on recognizing seven categories of road sign shapes and five categories of speed limit signs. Two kinds of features, binary image and Zernike moments, are used for representing the data to the SVM for training and test. We compared and analyzed the performances of SVM recognition model using different features and different kernels. Moreover, the performances using different recognition models, SVM and Fuzzy ARTMAP, are observed.

Medierepresentationer av etnicitetsochmigrationsrelaterade frågor inomäldreomsorgen i Sverige och Finland

Media representations of ethnicity- and migration-related issues within the elderly care in Sweden and Finland Research on welfare regimes and migration regimes has shown that Sweden and Finland have similar elderly care regimes but different migration regimes. It is against this backdrop that we set out to study what Swedish and Finnish daily press focusing on elderly care has written about ethnic minorities, migrants and migration. The study uses quantitative content analysis to analyze 241 daily newspaper articles published between 1995 and 2008. This article presents the themes that have been discussed, the elderly care actors that have been in focus (i.e. whether the focus has been on elderly care recipients, elderly care providers or informal caregivers), the ethnic backgrounds that these actors have had (i.e. whether the focus has been on the ethnic majority or on ethnic minorities) and the type of explanatory frameworks that the newspaper articles in focus have used. On the basis of this, we problematize the representations of ethnic minorities, migrants and migration that the newspaper articles in question put forth and the fact that the Swedish and Finnish daily press treats the issues at hand as if migration is mostly an issue that can be relegated to the periphery of the elderly care sectors’ agenda. 

Föreställningar om klass och kön i Arbetsförmedlingens yrkesbeskrivningar?

Notions of Class and Gender in the Employment Service Job Descriptions This article examines whether job descriptions emphasize different characteristics and competences depending on the occupations’ social class and gender relations. The study is partly a replication of a similar analysis conducted by Gesser in the 1970s. The purpose is to examine the prevalence of stereotypes in occupational descriptions provided by the Swedish state, and if the descriptions contribute to class and gender labeling of occupations and, by extension, its practitioners. Previous research has shown that career guiding materials are characterized by notions of the appropriate practitioner’s class and gender. In this study we depart from the concept of doxa and argue that stereotypical images of occupations are based on common sense that remains unquestioned. The study draws on a quantitative content analysis of 420 job descriptions analyzed by various statistical methods. The overall results show that there are systematic differences. In general, social class seems to have greater impact than gender on what kind of competences that are emphasized in the descriptions. Social skills are emphasized in female dominated occupations, while physical abilities are highlighted in male-dominated occupations. To some extent, these results are uncontroversial, as it also portraits abilities necessary to do the work in different kind of occupations

Variação, contato e mudança linguística em Moçambique e Cabo Verde : A concordância variável de número em sintagmas nominais do português

This study investigates variable noun phrase number agreement (VNA) in two second language varieties of Portuguese, spoken in Maputo, Mozambique and in Mindelo, Cape Verde. Quantitative VARBRUL analysis is carried out based on recordings made in Maputo and Mindelo 2007 and 2008. Previous quantitative studies on VNA in varieties of Brazilian Portuguese (Guy, 1981; Lopes, 2001; Andrade, 2003) as well as on VNA in first and second language varieties of Portuguese from São Tomé (Baxter, 2004; Figueiredo, 2008, 2010) indicate contact between Portuguese and African languages as the main origin of this phenomenon. VNA in Brazilian Portuguese is, however, interpreted by Scherre (1988) and Naro & Scherre (1993, 2007) as the result of language internal drift. Varieties of Portuguese from Mozambique and Cape Verde are particularly interesting to contrast in order to investigate influences from African languages on VNA, as in Mozambique Bantu languages are first languages of the vast majority of Portuguese speakers, whereas in Cape Verde, practically all Portuguese speakers are first language speakers of Cape Verdean Creole, whose substrates are West African, and not Bantu, languages. Comparison is also made with previous studies from Brazil and São Tomé. The results of this study comment previously postulated explanations for VNA in Portuguese in various ways. The analysis of the variables onset age and age stratum indicates that VNA in the analyzed varieties is a phenomenon linked to the acquisition of Portuguese as a second language and/or language contact rather than the result of internal drift. The fact that all the compared varieties tend to mark plural on pre-head components contradicts Bantu transfer as an explanation for this pattern, and raises the need to also consider more general explanations based on language contact. The basic structural similarity between the compared varieties suggests the existence of a grammatical restructuring continuum.

Utveckling av metod för att bedöma behovet av ogräsbekämpning i spår

A system for weed management on railway embankments that is both adapted to the environment and efficient in terms of resources requires knowledge and understanding about the growing conditions of vegetation so that methods to control its growth can be adapted accordingly. Automated records could complement present-day manual inspections and over time come to replace these. One challenge is to devise a method that will result in a reasonable breakdown of gathered information that can be managed rationally by affected parties and, at the same time, serve as a basis for decisions with sufficient precision. The project examined two automated methods that may be useful for the Swedish Transport Administration in the future: 1) A machine vision method, which makes use of camera sensors as a way of sensing the environment in the visible and near infrared spectrum; and 2) An N-Sensor method, which transmits light within an area that is reflected by the chlorophyll in the plants. The amount of chlorophyll provides a value that can be correlated with the biomass. The choice of technique depends on how the information is to be used. If the purpose is to form a general picture of the growth of vegetation on railway embankments as a way to plan for maintenance measures, then the N-Sensor technique may be the right choice. If the plan is to form a general picture as well as monitor and survey current and exact vegetation status on the surface over time as a way to fight specific vegetation with the correct means, then the machine vision method is the better of the two. Both techniques involve registering data using GPS positioning. In the future, it will be possible to store this information in databases that are directly accessible to stakeholders online during or in conjunction with measures to deal with the vegetation. The two techniques were compared with manual (visual) estimations as to the levels of vegetation growth. The observers (raters) visual estimation of weed coverage (%) differed statistically from person to person. In terms of estimating the frequency (number) of woody plants (trees and bushes) in the test areas, the observers were generally in agreement. The same person is often consistent in his or her estimation: it is the comparison with the estimations of others that can lead to misleading results. The system for using the information about vegetation growth requires development. The threshold for the amount of weeds that can be tolerated in different track types is an important component in such a system. The classification system must be capable of dealing with the demands placed on it so as to ensure the quality of the track and other pre-conditions such as traffic levels, conditions pertaining to track location, and the characteristics of the vegetation. The project recommends that the Swedish Transport Administration: Discusses how threshold values for the growth of vegetation on railway embankments can be determined Carries out registration of the growth of vegetation over longer and a larger number of railway sections using one or more of the methods studied in the project Introduces a system that effectively matches the information about vegetation to its position Includes information about the growth of vegetation in the records that are currently maintained of the track’s technical quality, and link the data material to other maintenance-related databases Establishes a number of representative surfaces in which weed inventories (by measuring) are regularly conducted, as a means of developing an overview of the long-term development that can serve as a basis for more precise prognoses in terms of vegetation growth Ensures that necessary opportunities for education are put in place