A biomechanical study of spherical grip

Use of the hand is vital in working life due to the grabbing and pinching it performs. Spherical grip is the most commonly used, due to similarity to the gripping of a computer mouse. Knowledge of its execution and the involved elements is essential. Analysis of this exertion with surface electromyography devices (to register muscular activity) and accelerometer devices (to register movement values ) can provide multiple variables. Six subjects performed ball gripping and registered real-time electromyography (thenar region, hypothenar region, first dorsal interosseous, flexors of the wrist, flexor carpi ulnaris and extensors of the wrist muscles) and accelerometer (thumb, index, middle, ring, pinky and palm) values. The obtained data was resampled “R software” and processed “Matlab Script” based on an automatic numerical sequence recognition program. Electromyography values were normalized on the basis of maximum voluntary contraction, whilst modular values were calculated for the acceleration vector. After processing and analysing the obtained data and signal, it was possible to identify five stages of movement in accordance with the module vector from the palm. The statistical analysis of the variables was descriptive: average and standard deviations. The outcome variables focus on the variations of the modules of the vector (between the maximum and minimum values of each module and phase) and the maximum values of the standardized electromyography of each muscle. Analysis of movement through accelerometer and electromyography variables can give us an insight into the operation of spherical grip. The protocol and treatment data can be used as a system to complement existing assessments in the hand.

We need to talk (Performance Space)

'We need to talk (Performace Space)' is a 3 channel audio work with round table and custom cushions, examining the discursive framework of LEVEL as a feminist art collective. It was included in the exhibition 'Sexes', curated by Bec Dean, Jeff Khan and Deborah Kelly, at Performance Space. The audio works feature recontextualised excerpts from a series of dinner party conversations, which focused on the role of women and feminism in the 21st century. Placed in a specially constructed ‘lazy susan’, this audio installation speaks of the experience of sharing information, ideas and experiences ‘around the table’. The fabric patterns on the floor cushions have been designed from banners created in collective workshops with women in Brisbane and Melbourne, Australia, as a way of translating personal statements and political ideas into the everyday.

Representation of facial expression categories in continuous arousal-valence space: Feature and correlation

Representation of facial expressions using continuous dimensions has shown to be inherently more expressive and psychologically meaningful than using categorized emotions, and thus has gained increasing attention over recent years. Many sub-problems have arisen in this new field that remain only partially understood. A comparison of the regression performance of different texture and geometric features and investigation of the correlations between continuous dimensional axes and basic categorized emotions are two of these. This paper presents empirical studies addressing these problems, and it reports results from an evaluation of different methods for detecting spontaneous facial expressions within the arousal-valence dimensional space (AV). The evaluation compares the performance of texture features (SIFT, Gabor, LBP) against geometric features (FAP-based distances), and the fusion of the two. It also compares the prediction of arousal and valence, obtained using the best fusion method, to the corresponding ground truths. Spatial distribution, shift, similarity, and correlation are considered for the six basic categorized emotions (i.e. anger, disgust, fear, happiness, sadness, surprise). Using the NVIE database, results show that the fusion of LBP and FAP features performs the best. The results from the NVIE and FEEDTUM databases reveal novel findings about the correlations of arousal and valence dimensions to each of six basic emotion categories.

A/Effective connections : mobility, technology and well-being

This article investigates the significance of internet communication technologies for mediating affect in ways that help promote feelings of well-being among recently arrived migrants from culturally and linguistically diverse communities (CALD) in Australia. It is based on a qualitative study that focuses on the internet's communicative capabilities for maintaining kinship ties in homeland countries, and for forging new connections in the host city of Brisbane during the early re-settlement period. Through the experience of ‘presence’ and affective communities, it emphasizes the ways in which visually mediated interaction helps to combat feelings of social isolation and loneliness. The study finds that internet use is creating new forms of sociality among migrants and plays a key role in the re-settlement period. It highlights the importance of publicly available computers and training for migrants.

A space for spirituality : Dutton Park Community House. Kuril dhagun, State Library of Queensland

A Space for Spirituality: Dutton Park Community House Exhibition of QUT Student Design Work for Murri Watch Men’s Shed, Dutton Park. As designers it is important to work with communities to develop inclusive spaces and be mindful of the diversity of cultures, histories and indeed spirituality. This exhibition includes a selection of proposals from QUT Interior Design students for the adaptation of the Murri Watch Men’s Shed, Dutton Park. The designs respond to local community narratives and environmental qualities, such as site texture, landscape and light to propose a dwelling space for spirituality and gathering.

Jugglers Arts Space Containers

The design and installation for the Jugglers Arts Space Containers was an invited commission by Jugglers Arts Space for the Containveral Festival at Northshore Hamilton (EDQ). The community festival involved a suite of custom designed and fitted shipping containers for the use by retailers and arts groups alike, focusing upon re-use and low cost design fabrication approaches. Containerval, inspired from shipping container projects such as Sean Goodsell's 'Future Shack' (1985-2001)and Buchan Group's Re:Start Mall, Christchurch (2011), celebrated design testing and exploration of found and recyclable materials to plan and enrich an otherwise severe hardstand area formally attached to Portside docks. The design proposed use of 4 containers, planned to focus on both the interior displays and external in-between spaces, for live performance of Jugglers Arts Space artists. Experimentation of recyclable materials such as onion bags and plastic milk bottles, informed the development of innovative low-cost canopies which sutured the containers together. The Containerval Festival contributed to the now highly successful 'Eat Street Markets' at Hamilton Northshore.

Figuras de Espaço na Arquitectura de um Vazio [Figures of space in the architecture of a void]

This text discusses the production of space as performance, space as the architecture of a void in relation to Fernanda Fragateiro's art work 'Caixa para Guardar o Vazio'

The stewardship performance of forms of privatised water infrastructure

In this research Agency Theory and Stewardship Theory are used to analyse the relative performance of different forms of privitisation of water infrastructure and in doing so enriches understanding of previously underdeveloped aspects of both theories. The prior Agency Theory literature had established assumptions about the behaviour of principals and agents in contracts and these were found not to be correct in the context of contracts between modern government and private organisations. Agency theory was extended to include steward-like behaviour of an agent and Stewardship Theory was developed by the identification of factors within the contractual relationship which promote the sense of responsibility to the principal. The alliance, joint venture and Build Own Operate Transfer (BOOT) forms of privatisation were found to achieve stewardship of the infrastructure.

Injury narrative text classification : a preliminary study

Description of a patient's injuries is recorded in narrative text form by hospital emergency departments. For statistical reporting, this text data needs to be mapped to pre-defined codes. Existing research in this field uses the Naïve Bayes probabilistic method to build classifiers for mapping. In this paper, we focus on providing guidance on the selection of a classification method. We build a number of classifiers belonging to different classification families such as decision tree, probabilistic, neural networks, and instance-based, ensemble-based and kernel-based linear classifiers. An extensive pre-processing is carried out to ensure the quality of data and, in hence, the quality classification outcome. The records with a null entry in injury description are removed. The misspelling correction process is carried out by finding and replacing the misspelt word with a soundlike word. Meaningful phrases have been identified and kept, instead of removing the part of phrase as a stop word. The abbreviations appearing in many forms of entry are manually identified and only one form of abbreviations is used. Clustering is utilised to discriminate between non-frequent and frequent terms. This process reduced the number of text features dramatically from about 28,000 to 5000. The medical narrative text injury dataset, under consideration, is composed of many short documents. The data can be characterized as high-dimensional and sparse, i.e., few features are irrelevant but features are correlated with one another. Therefore, Matrix factorization techniques such as Singular Value Decomposition (SVD) and Non Negative Matrix Factorization (NNMF) have been used to map the processed feature space to a lower-dimensional feature space. Classifiers with these reduced feature space have been built. In experiments, a set of tests are conducted to reflect which classification method is best for the medical text classification. The Non Negative Matrix Factorization with Support Vector Machine method can achieve 93% precision which is higher than all the tested traditional classifiers. We also found that TF/IDF weighting which works well for long text classification is inferior to binary weighting in short document classification. Another finding is that the Top-n terms should be removed in consultation with medical experts, as it affects the classification performance.