title: Real-time New Zealand sign language translator using convolution neural network

authors: Jayasekera, Mathes Kankanamge Chami

subjects: Sign Language Translator

abstract: Over the past quarter of a century, machine Learning performs an essential role in information technology revolution. From predictive internet web browsing to autonomous vehicles; machine learning has become the heart of all intelligence applications in service today. Image classification through gesture recognition is sub field which has benefited immensely from the existence of this machine learning method. In particular, a subset of Machine Learning known as deep learning has exhibited impressive performance in this regard while outperforming other conventional approaches such as image processing. The advanced Deep Learning architectures come with artificial neural networks particularly convolution neural networks (CNN). Deep Learning has dominated the field of computer vision since 2012; however, a general criticism of this deep learning method is its dependence on large datasets. In order to overcome this criticism, research focusing on discovering data- efficient deep learning methods have been carried out. The foremost finding of the data-efficient deep learning function is a transfer learning technique, which is basically carried out with pre-trained networks. In this research, the InceptionV3 pre trained model has been used to perform the transfer learning method in a convolution neural network to implement New Zealand sign language translator in real-time. 
The focus of this research is to introduce a vision-based application that offers New Zealand sign language translation into text format by recognizing sign gestures to overcome the communication barriers between the deaf community and hearing-unimpaired community in New Zealand. As a byproduct of this research work, a new dataset for New Zealand sign Language alphabet has been created. After training the pre-trained InceptionV3 network with this captured dataset, a prototype for this New Zealand sign language translating system has been created.

text: Real-time New Zealand sign language translator using convolution neural network Over the past quarter of a century, machine Learning performs an essential role in information technology revolution. From predictive internet web browsing to autonomous vehicles; machine learning has become the heart of all intelligence applications in service today. Image classification through gesture recognition is sub field which has benefited immensely from the existence of this machine learning method. In particular, a subset of Machine Learning known as deep learning has exhibited impressive performance in this regard while outperforming other conventional approaches such as image processing. The advanced Deep Learning architectures come with artificial neural networks particularly convolution neural networks (CNN). Deep Learning has dominated the field of computer vision since 2012; however, a general criticism of this deep learning method is its dependence on large datasets. In order to overcome this criticism, research focusing on discovering data- efficient deep learning methods have been carried out. The foremost finding of the data-efficient deep learning function is a transfer learning technique, which is basically carried out with pre-trained networks. In this research, the InceptionV3 pre trained model has been used to perform the transfer learning method in a convolution neural network to implement New Zealand sign language translator in real-time. 
The focus of this research is to introduce a vision-based application that offers New Zealand sign language translation into text format by recognizing sign gestures to overcome the communication barriers between the deaf community and hearing-unimpaired community in New Zealand. As a byproduct of this research work, a new dataset for New Zealand sign Language alphabet has been created. After training the pre-trained InceptionV3 network with this captured dataset, a prototype for this New Zealand sign language translating system has been created.

year: 2021

title: Observational Equivalence? Regional Studies and Regional Science

authors: McCann, Philip

subjects: methodology

abstract: This paper considers the methodological and empirical issues raised by the adoption of stylized constructs in the development of regional policy. Public policies invariably require funding, and the greater levels of public data availability and press scrutiny nowadays have led to increasing requirements for policy transparency driven by evidence-based policy design, implementation, monitoring and evaluation. At the same time, however, many current urban and regional policy frameworks are increasingly being based on constructs that do not lend themselves to empirical evaluation. Therefore, there appears to be something of a mismatch. This paper discusses these problems and argues that instead of being seen as contradictory, one can regard certain aspects of regional analysis as raising topical questions and issues to be examined, while other methodological approaches are always required in order to respond to policy questions. Both can be seen as complements of each other, although designing policies which are based on constructs amenable to formal empirical evaluation is always required for ensuring good policy.

text: Observational Equivalence? Regional Studies and Regional Science This paper considers the methodological and empirical issues raised by the adoption of stylized constructs in the development of regional policy. Public policies invariably require funding, and the greater levels of public data availability and press scrutiny nowadays have led to increasing requirements for policy transparency driven by evidence-based policy design, implementation, monitoring and evaluation. At the same time, however, many current urban and regional policy frameworks are increasingly being based on constructs that do not lend themselves to empirical evaluation. Therefore, there appears to be something of a mismatch. This paper discusses these problems and argues that instead of being seen as contradictory, one can regard certain aspects of regional analysis as raising topical questions and issues to be examined, while other methodological approaches are always required in order to respond to policy questions. Both can be seen as complements of each other, although designing policies which are based on constructs amenable to formal empirical evaluation is always required for ensuring good policy.

year: 2007

title: Genealogical Violence: Mormon (Mis)Appropriation of Māori Cultural Memory through Falsification of Whakapapa

authors: Simon, Hemopereki

subjects: whakapapa

abstract: The study examines how members of the historically white possessive and supremacist Church of Jesus Christ of Latter-day Saints in the United States (mis)appropriated Māori genealogy, known as whakapapa. The Mormon use of whakapapa to promote Mormon cultural memory and narratives perpetuates settler/invader colonialism and white supremacy, as this paper shows. The research discusses Church racism against Native Americans and Pacific Peoples. This paper uses Anthropologist Thomas Murphy’s scholarship to demonstrate how problematic the Book of Mormon’s religio-colonial identity of Lamanites is for these groups. Application of Aileen Moreton-Robinson’s white possessive doctrine and Hemopereki Simon’s adaptation to cover Church-Indigenous relations and the salvation contract is discussed. We explore collective and cultural memory and discuss key Māori concepts like Mana, Taonga, Tapu, and Whakapapa. A brief review of LDS scholar Louis C. Midgley’s views on Church culture, including Herewini Jones’s whakapapa wānanga, is followed by a discussion of Māori cultural considerations and issues. The paper concludes that the alteration perpetuates settler/invader colonialism and Pacific peoples’ racialization and white supremacy. Genetics science and human migration studies contradict Mormon identity narratives and suggest the BOM is spiritual rather than historical. Finally, the paper suggests promoting intercultural engagement on Mormon (mis)appropriation of taonga Māori.

text: Genealogical Violence: Mormon (Mis)Appropriation of Māori Cultural Memory through Falsification of Whakapapa The study examines how members of the historically white possessive and supremacist Church of Jesus Christ of Latter-day Saints in the United States (mis)appropriated Māori genealogy, known as whakapapa. The Mormon use of whakapapa to promote Mormon cultural memory and narratives perpetuates settler/invader colonialism and white supremacy, as this paper shows. The research discusses Church racism against Native Americans and Pacific Peoples. This paper uses Anthropologist Thomas Murphy’s scholarship to demonstrate how problematic the Book of Mormon’s religio-colonial identity of Lamanites is for these groups. Application of Aileen Moreton-Robinson’s white possessive doctrine and Hemopereki Simon’s adaptation to cover Church-Indigenous relations and the salvation contract is discussed. We explore collective and cultural memory and discuss key Māori concepts like Mana, Taonga, Tapu, and Whakapapa. A brief review of LDS scholar Louis C. Midgley’s views on Church culture, including Herewini Jones’s whakapapa wānanga, is followed by a discussion of Māori cultural considerations and issues. The paper concludes that the alteration perpetuates settler/invader colonialism and Pacific peoples’ racialization and white supremacy. Genetics science and human migration studies contradict Mormon identity narratives and suggest the BOM is spiritual rather than historical. Finally, the paper suggests promoting intercultural engagement on Mormon (mis)appropriation of taonga Māori.

year: 2024