Touch Based Human Machine Interaction
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Touch-Based Human-Machine Interaction
This textbook presents a comprehensive treatment of touch technologies, explaining current mainstream and new contact/non-contact based human-machine interactivity (HMI) techniques, which are ubiquitous in modern electronic devices and allow machines to exchange information with users in an efficient and reliable manner. The book provides a detailed study of HMI working principles and practical product examples. Haptic, which has become essential for users to gain immersive experience, is also discussed. The book concludes with an overview of novel applications enabled by emerging technologies, such as advanced materials, virtual reality and machine learning, providing a roadmap for possible development trends for touch interactivities. The book can be used as a graduate text for students in display and touch interface technology courses in electrical and computer engineering, and a professional reference for researchers, practicing engineers, and product designers working in broad areas of engineering. Helps students understand the working principles of current touch technologies; Offers design considerations for prototypes and products; Provides seamless connectivity between broad subject areas involved in HMI, including material science, microelectronic circuits, mechanical engineering, and digital signal processing.
Touch-based Human-machine Interaction
This textbook presents a comprehensive treatment of touch technologies, explaining current mainstream and new contact/non-contact based human-machine interactivity (HMI) techniques, which are ubiquitous in modern electronic devices and allow machines to exchange information with users in an efficient and reliable manner. The book provides a detailed study of HMI working principles and practical product examples. Haptic, which has become essential for users to gain immersive experience, is also discussed. The book concludes with an overview of novel applications enabled by emerging technologies, such as advanced materials, virtual reality and machine learning, providing a roadmap for possible development trends for touch interactivities. The book can be used as a graduate text for students in display and touch interface technology courses in electrical and computer engineering, and a professional reference for researchers, practicing engineers, and product designers working in broad areas of engineering. Helps students understand the working principles of current touch technologies; Offers design considerations for prototypes and products; Provides seamless connectivity between broad subject areas involved in HMI, including material science, microelectronic circuits, mechanical engineering, and digital signal processing.
Data Mining and Machine Learning Applications
DATA MINING AND MACHINE LEARNING APPLICATIONS The book elaborates in detail on the current needs of data mining and machine learning and promotes mutual understanding among research in different disciplines, thus facilitating research development and collaboration. Data, the latest currency of today’s world, is the new gold. In this new form of gold, the most beautiful jewels are data analytics and machine learning. Data mining and machine learning are considered interdisciplinary fields. Data mining is a subset of data analytics and machine learning involves the use of algorithms that automatically improve through experience based on data. Massive datasets can be classified and clustered to obtain accurate results. The most common technologies used include classification and clustering methods. Accuracy and error rates are calculated for regression and classification and clustering to find actual results through algorithms like support vector machines and neural networks with forward and backward propagation. Applications include fraud detection, image processing, medical diagnosis, weather prediction, e-commerce and so forth. The book features: A review of the state-of-the-art in data mining and machine learning, A review and description of the learning methods in human-computer interaction, Implementation strategies and future research directions used to meet the design and application requirements of several modern and real-time applications for a long time, The scope and implementation of a majority of data mining and machine learning strategies. A discussion of real-time problems. Audience Industry and academic researchers, scientists, and engineers in information technology, data science and machine and deep learning, as well as artificial intelligence more broadly.