Sign language gesture recognition with bispectrum features using SVM

Wi-Fi based sensing system captures the signal reflections due to human gestures as Channel State Information (CSI) values in subcarrier level for accurately predicting the fine-grained gestures. The proposed work explores the Higher Order Statistical (HOS) method by deriving bispectram features (BF) from raw signal by adopting a Conditional Informative Feature Extraction (CIFE) technique from information theory to form a subset of informative and best features. Support Vector Machine (SVM) classifier is adopted in the present work for classifying the gesture and to measure the prediction accuracy. The present work is validated on a secondary dataset, SignFi, having data collected from two different environments with varying number of users and sign gestures. SVM reports an overall accuracy of 83.8%, 94.1%, 74.9% and 75.6% in different environments/scenarios.Taylor's University through its TAYLOR'S PhD SCHOLARSHIP Programmeinfo:eu-repo/semantics/publishedVersio

3D Analytics: Opportunities and Guidelines for Information Systems Research

Progress in sensor technologies has made three-dimensional (3D) representations of the physical world available at a large scale. Leveraging such 3D representations with analytics has the potential to advance Information Systems (IS) research in several areas. However, this novel data type has rarely been incorporated. To address this shortcoming, this article first presents two showcases of 3D analytics applications together with general modeling guidelines for 3D analytics, in order to support IS researchers in implementing research designs with 3D components. Second, the article presents several promising opportunities for 3D analytics to advance behavioral and design-oriented IS research in several contextual areas, such as healthcare IS, human-computer interaction, mobile commerce, energy informatics and others. Third, we investigate the nature of the benefits resulting from the application of 3D analytics, resulting in a list of common tasks of research projects that 3D analytics can support, regardless of the contextual application area. Based on the given showcases, modeling guidelines, research opportunities and task-related benefits, we encourage IS researchers to start their journey into this largely unexplored third spatial dimension

Indoor location identification technologies for real-time IoT-based applications: an inclusive survey

YesThe advent of the Internet of Things has witnessed tremendous success in the application of wireless sensor networks and ubiquitous computing for diverse smart-based applications. The developed systems operate under different technologies using different methods to achieve their targeted goals. In this treatise, we carried out an inclusive survey on key indoor technologies and techniques, with to view to explore their various benefits, limitations, and areas for improvement. The mathematical formulation for simple localization problems is also presented. In addition, an empirical evaluation of the performance of these indoor technologies is carried out using a common generic metric of scalability, accuracy, complexity, robustness, energy-efficiency, cost and reliability. An empirical evaluation of performance of different RF-based technologies establishes the viability of Wi-Fi, RFID, UWB, Wi-Fi, Bluetooth, ZigBee, and Light over other indoor technologies for reliable IoT-based applications. Furthermore, the survey advocates hybridization of technologies as an effective approach to achieve reliable IoT-based indoor systems. The findings of the survey could be useful in the selection of appropriate indoor technologies for the development of reliable real-time indoor applications. The study could also be used as a reliable source for literature referencing on the subject of indoor location identification.Supported in part by the Tertiary Education Trust Fund of the Federal Government of Nigeria, and in part by the European Union’s Horizon 2020 Research and Innovation Programme under Grant agreement H2020-MSCA-ITN-2016 SECRET-72242

The influence of Islamic values on retail brand equity and store loyalty: a Saudi Arabian perspective

This study investigates the factors influencing store loyalty in the Saudi Arabian retail industry. It argues that retail store loyalty is influenced not only by “classic” factors like location, retail brand equity, and retail customer service experience, but also by culturally specific factors – in this case the Islamic values of customer and of retailers, particularly in countries such as Saudi Arabia, where these cultural factors exert a very different and strong influence compared with in Western countries where much of the literature on retail brand loyalty originates. This study is needed because the gap in both literature and understanding relating to the impact of such cultural values, particularly Islamic values held by highly observant Muslims, leads not only to a misunderstanding by academics of the factors contributing to retail loyalty, but also to practical problems for Western marketers in terms of doing business via retailers in Saudi Arabia. This thesis fills the gap. The study was carried out using mixed methods, with the pilot and then the main quantitative surveys preceded by a qualitative depth-interview study, the purpose of which was to identify the variables to be used in the quantitative surveys. In the qualitative study, 20 people were interviewed to seek their opinion on the role of Islamic values in the retail strategy. The sample size was determined based upon the literature. As the survey progressed, no new variables were needed. There was strong conformity between the respondents. This led to a pilot quantitative study of 120 respondents. Afterwards, a sample of 1104 respondents from Saudi Arabia was generated to collect quantitative data. A predeveloped measurement scale was used to measure the constructs used in the study. Structural equation modelling (SEM) was used to analyse the data and hypotheses testing. The finding suggested that the loyalty of observant Saudi consumers was strongly influenced by the adherence to Islamic values by stores. The data further revealed that stores which follow Islamic values as a part of their retail strategy improve their brand equity and customer service experience. The concept of Islamic Retail Brand Equity was introduced to explain this phenomenon. The conclusion was that to create and maintain retail brand equity and store loyalty, retail stores in Saudi Arabia should focus on their Islamic Retail Brand Equity by following Islamic values in the stores. This study extends the concept of customer service by using the concept of Islamic Values in the theory developed. The implications for academic theory relate to the need to take into account culturally specific variables, on both consumer and retail sides. For marketers, the implications relate to the need to take into account Islamic values in their dealings with both consumers and retailers

Managing the Paradox of Growth in Brand Communities Through Social Media

The commercial benefits of online brand communities are an important focus for marketers seeking deeper engagement with increasingly elusive consumers. Managing participation in these socially bound brand conversations challenges practitioners to balance authenticity towards the community against corporate goals. This is important as social media proliferation affords communities the capacity to reach a scale well beyond their offline equivalents and to operate independently of brands. While research has identified the important elements of engagement in brand communities, less is known about how strategies required to maximise relationships in these circumstances must change with growth. Using a case study approach, we examine how a rapidly growing firm and its community have managed the challenges of a maturing relationship. We find that, in time, the community becomes self-sustaining, and a new set of marketing management strategies is required to move engagement to the next level

Managing the Paradox of Growth in Brand Communities Through Social Media

The commercial benefits of online brand communities are an important focus for marketers seeking deeper engagement with increasingly elusive consumers. Managing participation in these socially bound brand conversations challenges practitioners to balance authenticity towards the community against corporate goals. This is important as social media proliferation affords communities the capacity to reach a scale well beyond their offline equivalents and to operate independently of brands. While research has identified the important elements of engagement in brand communities, less is known about how strategies required to maximise relationships in these circumstances must change with growth. Using a case study approach, we examine how a rapidly growing firm and its community have managed the challenges of a maturing relationship. We find that, in time, the community becomes self-sustaining, and a new set of marketing management strategies is required to move engagement to the next level