A Survey on Gesture Pattern Recognition for Mute Peoples

These days data technology is developing. People are endeavoring to reduce their work by utilizing machines. The communication amongst human and computer ought to be convenient to the distinctive methods for communication are being searched. Utilization of hand gesture recognition is one of the methods for human-computer interaction. Gestures are for the most part of two types, static gestures and dynamic gestures. A large portion of the Research works have just concentrated on static gestures and in dynamic gestures they are having a few restrictions. We studied the writing on visual elucidation of hand gestures in the context of its part in Human Computer Interaction and different original works of researchers are underscored. The purpose for this review is to introduce the field of gesture recognition as a mechanism for interaction with computers

Analysis of the Efficacy of Real-Time Hand Gesture Detection with Hog and Haar-Like Features Using SVM Classification

The field of hand gesture recognition has recently reached new heights thanks to its widespread use in domains like remote sensing, robotic control, and smart home appliances, among others. Despite this, identifying gestures is difficult because of the intransigent features of the human hand, which make the codes used to decode them illegible and impossible to compare. Differentiating regional patterns is the job of pattern recognition. Pattern recognition is at the heart of sign language. People who are deaf or mute may understand the spoken language of the rest of the world by learning sign language. Any part of the body may be used to create signs in sign language. The suggested system employs a gesture recognition system trained on Indian sign language. The methods of preprocessing, hand segmentation, feature extraction, gesture identification, and classification of hand gestures are discussed in this work as they pertain to hand gesture sign language. A hybrid approach is used to extract the features, which combines the usage of Haar-like features with the application of Histogram of Oriented Gradients (HOG).The SVM classifier is then fed the characteristics it has extracted from the pictures in order to make an accurate classification. A false rejection error rate of 8% is achieved while the accuracy of hand gesture detection is improved by 93.5%

Dog Barking at the Moon: Transcreation of a Meme in Art and Poetry

This essay explores the dynamics of transcreation in art and poetry, focusing on the image of a dog barking at the moon in four Taiwanese poems. By putting them in connection with each other and with other texts from different times and artistic traditions, I wish to contribute to a dismantling of the “influence paradigm,” move beyond contestations over the comparative approach, and demonstrate a critical method that recognizes the enduring fascination for the meme but equally appreciates change, approximation and adaptation, rather than closed-off conversion from a source text to a target text

A Survey of Applications and Human Motion Recognition with Microsoft Kinect

Microsoft Kinect, a low-cost motion sensing device, enables users to interact with computers or game consoles naturally through gestures and spoken commands without any other peripheral equipment. As such, it has commanded intense interests in research and development on the Kinect technology. In this paper, we present, a comprehensive survey on Kinect applications, and the latest research and development on motion recognition using data captured by the Kinect sensor. On the applications front, we review the applications of the Kinect technology in a variety of areas, including healthcare, education and performing arts, robotics, sign language recognition, retail services, workplace safety training, as well as 3D reconstructions. On the technology front, we provide an overview of the main features of both versions of the Kinect sensor together with the depth sensing technologies used, and review literatures on human motion recognition techniques used in Kinect applications. We provide a classification of motion recognition techniques to highlight the different approaches used in human motion recognition. Furthermore, we compile a list of publicly available Kinect datasets. These datasets are valuable resources for researchers to investigate better methods for human motion recognition and lower-level computer vision tasks such as segmentation, object detection and human pose estimation

The Administrative Turn in Contemporary Art: The Figure of the Arts Administrator — a case study of the Taipei Biennial (1996-2020)

This PhD uses “the Administrative Turn” to describe the specific, but also the more general, changing nature of the local and global administrative networks which support contemporary art. Through a case study of the figure of the arts administrator at the Taipei Biennial (TB), this research examines these changes in three ways – on (1) changes in institutional principles of arts administration, (2) changes in administrative methodology, and (3) changes in function for arts administrators. Taking a transdisciplinary approach drawing on Arts Management, Curatorial Studies, Museum Studies and Art History, this thesis engages critically with the value of “the administrative” as a necessary approach to catalyse a shift in focus away from the highly visible and spectacularised norm of the global contemporary art world, towards the infrastructural significance of the backstage. This change in perspective through the study of the TB arts administrators sets out to present a missing puzzle of what makes that art world functions as it does and how in fact the support network of the contemporary art practices have transformed because of changes in the administrative capacity in terms of its institution, methodology and function. Chapter 1 details the developmental history of the system of arts administration at TB, as an institution situated within a government-backed, museum-based, contemporary art exhibitionary ecosystem, and finds that the institution history and design principles of arts administration are not only a reflection but also an active author of Taiwanese national identity. Chapter 2 demonstrates how arts management and its methodology as a practice-centric tradecraft based on the narrative of professionalism and a stewardship process, is iterative and relies on a balance of control and care. With a close analysis of the administrative capacity, Chapter 3 establishes the figure of the arts administrators as reflexive and its function pedagogical and consultative. This research concludes that acting as critical infrastructure, arts administrators as ascending co-development stewards, possess the transformative agency to radically re-imagine their sphere of practice and re-conceptualise how the support network could better function for a fast-evolving and increasingly multi-stakeholder production reality, which underpins the culture of contemporary art biennials globally