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This book collects multiple research articles studying the factors influencing wearable device usage. Based on multiple empirical studies, which research different kinds of wearable devices such as smartwatches, activity trackers, and smartglasses, potential drivers of wearable device usage are identified and evaluated. Overall, the book provides novel and important insights for both practitioners and academics, highlights their various practical implications for the development and marketing of wearable devices and offers outlooks on further research directions.
Advances in technology continue to alter the ways in which we conduct our lives, from the private sphere to how we interact with others in public. As these innovations become more integrated into modern society, their applications become increasingly relevant in various facets of life. Wearable Technologies: Concepts, Methodologies, Tools, and Applications is a comprehensive reference source for the latest scholarly material on the development and implementation of wearables within various environments, emphasizing the valuable resources offered by these advances. Highlighting a range of pertinent topics, such as assistive technologies, data storage, and health and fitness applications, this multi-volume book is ideally designed for researchers, academics, professionals, students, and practitioners interested in the emerging applications of wearable technologies.
Bachelor Thesis from the year 2019 in the subject Engineering - Robotics, grade: 78, University of Sunderland, language: English, abstract: This report explains the final project, driver drowsiness detection system. When a driver doesn’t get proper rest, they fall asleep while driving and this leads to fatal accidents. This particular issue demands a solution in the form of a system that is capable of detecting drowsiness and to take necessary actions to avoid accidents. The detection is achieved with three main steps, it begins with face detection and facial feature detection using the famous Viola Jones algorithm followed by eye tracking. By the use of correlation coefficient template matching, the eyes are tracked. Whether the driver is awake or asleep is identified by matching the extracted eye image with the externally fed template (open eyes and closed eyes) based on eyes opening and eyes closing, blinking is recognized. If the driver falling asleep state remains above a specific time (the threshold time) the vehicles stops and an alarm is activated by the use of a specific microcontroller, in this prototype an Arduino is used.
The new edition of Raymond Stone's Human Resource Management is an AHRI endorsed title that has evolved into a modern, relevant and practical resource for first-year HRM students. This concise 15-chapter textbook gives your students the best chance of transitioning successfully into their future profession by giving them relatable professional insights and encouragement to exercise their skills in authentic workplace scenarios.
The rapid evolution of technology continuously changes the way people interact, work, and learn. By examining these advances from a sociological perspective, researchers can further understand the impact of cyberspace on human behavior, interaction, and cognition. Multigenerational Online Behavior and Media Use: Concepts, Methodologies, Tools, and Applications is a vital reference source covering the impact of social networking platforms on a variety of relationships, including those between individuals, governments, citizens, businesses, and consumers. The publication also highlights the negative behavioral, physical, and mental effects of increased online usage and screen time such as mental health issues, internet addiction, and body image. Showcasing a range of topics including online dating, smartphone dependency, and cyberbullying, this multi-volume book is ideally designed for sociologists, psychologists, computer scientists, engineers, communication specialists, academicians, researchers, and graduate-level students seeking current research on media usage and its behavioral effects.
Big data and artificial intelligence (AI) are at the forefront of technological advances that represent a potential transformational mega-trend—a new multipolar and innovative disruption. These technologies, and their associated management paradigm, are already rapidly impacting many industries and occupations, but in some sectors, the change is just beginning. Innovating ahead of emerging technologies is the new imperative for any organization that aspires to succeed in the next decade. Faced with the power of this AI movement, it is imperative to understand the dynamics and new codes required by the disruption and to adapt accordingly. AI and Big Data’s Potential for Disruptive Innovation provides emerging research exploring the theoretical and practical aspects of successfully implementing new and innovative technologies in a variety of sectors including business, transportation, and healthcare. Featuring coverage on a broad range of topics such as semantic mapping, ethics in AI, and big data governance, this book is ideally designed for IT specialists, industry professionals, managers, executives, researchers, scientists, and engineers seeking current research on the production of new and innovative mechanization and its disruptions.
Applying insights from philosophy and cognitive science to address the urgent issue of smartphone-induced distracted driving Although the dangers of texting while driving are widely known, many people resist the idea that phone usage will impair their driving. And connectivity features in new cars have only made using technology behind the wheel more tempting. What will it take to change people’s minds and behavior? Robert Rosenberger contends that a better understanding of why this combination of technologies is so dangerous could effectively adjust both habits and laws. Rosenberger brings together ideas from philosophy and cognitive science to leverage a postphenomenological perspective that reveals how our smartphones make us such bad drivers. Reviewing decades of empirical studies in cognitive science, he shows that we have developed habits of perception regarding our compulsive technology use—habits that may wrest our attention away from the road. Distracted develops innovative concepts for understanding technology-related habits and the ways that our relationships to our devices influence how we perceive the world. In turn, these ideas can help drivers be more cognizant of the effect that smartphone usage has on their perceptions, better inform efforts to enact stricter regulations, and help us all to be more reflective about the technologies that shape our lives.
"This book collects multiple research articles studying the factors influencing wearable device usage. Based on multiple empirical studies, which research different kinds of wearable devices such as smartwatches, activity trackers, and smartglasses, potential drivers of wearable device usage are identified and evaluated. Overall, the book provides novel and important insights for both practitioners and academics, highlights their various practical implications for the development and marketing of wearable devices and offers outlooks on further research directions"--Provided by publisher.