A novel bio-kinematic encoder for human exercise representation and decomposition - Part 2 : Robustness and Optimisation

Bio-kinematic characterisations of human exercises constitute dealing with parameters such as velocity, acceleration, joint angles, etc. A majority of these are measured directly from various sensors ranging from RGB cameras to inertial sensors. However, due to certain limitations associated with these sensors, such as inherent noise, filters are required to be implemented to subjugate the effect from the noise. When the two-component (trajectory shape and dynamics) bio-kinematic encoding model is being established to represent an exercise, reducing the effect from noise embedded in raw data will be important since the underlying model can be quite sensitive to noise. In this paper, we examine and compare some commonly used filters, namely least-square Gaussian filter, Savitzky-Golay filter and optimal Kalman filter, with four groups of real data collected from Microsoft Kinectc , and assert that Savitzky- Golay filter is the best one when establishing an underlying model for human exercise representation.

Semi-supervised classification based on subspace sparse representation

Graph plays an important role in graph-based semi-supervised classification. However, due to noisy and redundant features in high-dimensional data, it is not a trivial job to construct a well-structured graph on high-dimensional samples. In this paper, we take advantage of sparse representation in random subspaces for graph construction and propose a method called Semi-Supervised Classification based on Subspace Sparse Representation, SSC-SSR in short. SSC-SSR first generates several random subspaces from the original space and then seeks sparse representation coefficients in these subspaces. Next, it trains semi-supervised linear classifiers on graphs that are constructed by these coefficients. Finally, it combines these classifiers into an ensemble classifier by minimizing a linear regression problem. Unlike traditional graph-based semi-supervised classification methods, the graphs of SSC-SSR are data-driven instead of man-made in advance. Empirical study on face images classification tasks demonstrates that SSC-SSR not only has superior recognition performance with respect to competitive methods, but also has wide ranges of effective input parameters.

Haptic-based color representation framework

In this paper we propose a novel technique to associate color RGB dimensions into other dimensions that can be explored Haptically. These dimensions will be the force, vibration and geometric representation. The color association between the color information and the other modalities will be called the Haptic-Color Palette. This is of great importance for visually impaired and color blind persons to get access to media in which colors play a great role, such as artwork. The proposed color conversion technique is based on the human perception and interpretations of colors.

Representation of multiculturalism in urban green spaces : a review of immigrants' experiences in Australia

Rapid population influx due to migration in Australia has produced diverse cultural landscapes, which become visible in cities as physical forms, settings and symbols produced by different ethnic communities. Scholars have argued that people moving away from the country of their birth, whether this be a necessary migration, labour mobility or voluntary migration, results in a difficult process of resettlement for families and individuals. To provide a cohesive multicultural society for all citizens, it is essential to understand how immigrants perceive their new environments and how they make connections in a new land in the process of cultural renewal. While the policy of ‘multiculturalism’ has had a rocky road since the optimistic 1970s, a drive through many suburbs in Australian cities shows buildings, festivals and communal gatherings of people that express and refer to diverse cultural backgrounds. Urban green spaces, ranging from private home gardens to public parks and botanical gardens, play an important role in the life of immigrants. Besides psychological and the restorative effects of urban green spaces, these spaces are public places that provide opportunities for recreation, social gatherings, and the celebration of collective cultural values and events such as festivals for many communities. This study aims to raise awareness of ethnicity as an important issue in park settings and spaces. It investigates the interrelationship between these cultural practices in the urban park environment, in relation to ethnic and cultural identity and physical settings. The concept of transculturalism – reinventing a new common culture as a result of migration to a new place – can help the analysis of the affects and the perception of urban green spaces. The paper will review different experiences of immigrants in relation to the use and perception of urban green spaces, developing alternative perspectives about the Australian landscapes.

Generalised damage identification scheme via sparse representation

Structures inevitably deteriorate during their service lives. Therefore, the methods capable of identifying and assessing various damages in a structure timely and accurately have drawn increasing attention. From a broader perspective, structural damage identification problem can be regarded as a pattern recognition problem by using sparse representation techniques. The unknown signal/feature from a damaged structure can be associated to a known type of signal/feature in a “dictionary”, leading to damage identification. From this new angle, an innovative damage identification scheme has been proposed by the authors. In this paper, two important techniques of this scheme are further discussed, namely the construction of dictionary and the choice of parameters. The numerical simulated soil-pipe system is used for verifying the performance of the proposed method. The results demonstrate that this damage identification scheme will be a promising tool for structural health monitoring.

Extensions to knowledge acquisition and effect of multimodal representation in unsupervised learning

The phenomenal behaviour and composition of human cognition is yet to be defined comprehensibly. Developing the same, artificially, is a foremost research area in artificial intelligence and related fields. In this chapter we look at advances made in the unsupervised learning paradigm (self organising methods) and its potential in realising artificial cognitive machines. The first section delineates intricacies of the process of learning in humans with an articulate discussion of the function of thought and the function of memory. The self organising method and the biological rationalisations that led to its development are explored in the second section. The next focus is the effect of structure restrictions on unsupervised learning and the enhancements resulting from a structure adapting learning algorithm. Generation of a hierarchy of knowledge using this algorithm will also be discussed. Section four looks at new means of knowledge acquisition through this adaptive unsupervised learning algorithm while the fifth examines the contribution of multimodal representation of inputs to unsupervised learning. The chapter concludes with a summary of the extensions outlined.

Refugee performance: aesthetic representation and accountability in playback theatre

This essay seeks to unpack some of the issues concerning representation when performing refugee stories using playback theatre. It questions the reductive influence of narrative structure and, using the framework of artist as ethnographer, it argues that strong aesthetic production is required to overcome the dampening effect of empathy when performing personal stories in refugee/asylum contexts. The tension that emerges among the key imperatives of accountable, accurate and aesthetic representation in refugee performance is then explored as a dialogic space.

Voice, post-structural representation and the subjectivity of ‘included’ students

Aligned with the broader movement from structuralism to the post-structuralisms [Lather, P. 2013. “Methodology-21: What Do We Do in the Afterward?” International Journal of Qualitative Studies in Education 26 (6): 634–645; St. Pierre, E. A. 2009. “Afterword: Decentering Voice in Qualitative Inquiry.” In Voice in Qualitative Inquiry: Challenging Conventional, Interpretive, and Critical Conceptions in Qualitative Research, edited by A. Y. Jackson and L. A. Mazzei, 221–236. London: Routledge; St. Pierre, E. A. 2013. “The Posts Continue: Becoming.” International Journal of Qualitative Studies in Education 26 (6): 646–657], research in disability studies for the past two decades has found ‘the potholes’ [Miller, L., J. B. Whalley, and I. Stronach. 2012. “From Structuralism to Poststructuralism.” In Research Methods in the Social Sciences, edited by B. Somekh and C. Lewin. London: SAGE] of disability rights scholarship. In this paper, I offer a critical research framework in the field of disability studies in education that is theoretical, political and personal. Concentrating on the positioning of disability, I draw on the methodological tools of post-structural representation, subjectivity and constructivist grounded theory to study how discursive practices within (and around) secondary schools shape ‘included’ disabled subjects. In the paper I develop this framework and then demonstrate its application in ongoing research that critically counters the conventions that marginalize particular students in schools.

Governance, representation and the ‘monstrous regiment’: is the collective feminine?

Alternatives to the individualistic emphasis of liberal theory focus attention on collective dimensions of social life with implications for legal and political analysis of the state, of representation, and of international law. In this context, relationships between the individual–collective dichotomy and the dichotomy of gender demand attention because of the claimed affiliations of individualism with social understandings of masculinity.