This proceedings set contains selected Computer, Information and Education Technology related papers from the 2015 International Conference on Computer, Intelligent Computing and Education Technology (CICET 2015), to be held April 11-12, 2015 in Guilin, P.R. China. The proceedings aims to provide a platform for researchers, engineers and academics

This is the first book on brain-computer interfaces (BCI) that aims to explain how these BCI interfaces can be used for artistic goals. Devices that measure changes in brain activity in various regions of our brain are available and they make it possible to investigate how brain activity is related to experiencing and creating art. Brain activity can also be monitored in order to find out about the affective state of a performer or bystander and use this knowledge to create or adapt an interactive multi-sensorial (audio, visual, tactile) piece of art. Making use of the measured affective state is just one of the possible ways to use BCI for artistic expression. We can also stimulate brain activity. It can be evoked externally by exposing our brain to external events, whether they are visual, auditory, or tactile. Knowing about the stimuli and the effect on the brain makes it possible to translate such external stimuli to decisions and commands that help to design, implement, or adapt an artistic performance, or interactive installation. Stimulating brain activity can also be done internally. Brain activity can be voluntarily manipulated and changes can be translated into computer commands to realize an artistic vision. The chapters in this book have been written by researchers in human-computer interaction, brain-computer interaction, neuroscience, psychology and social sciences, often in cooperation with artists using BCI in their work. It is the perfect book for those seeking to learn about brain-computer interfaces used for artistic applications.

We are facing a new technological challenge on how to store and retrieve knowledge and manipulate intelligence for autonomous services by intelligent systems which should be capable of carrying out real world tasks autonomously. To address this issue, robot researchers have been developing intelligence technology (InT) for “robots that think” which is in the focus of this book. The book covers all aspects of intelligence from perception at sensor level and reasoning at cognitive level to behavior planning at execution level for each low level segment of the machine. It also presents the technologies for cognitive reasoning, social interaction with humans, behavior generation, ability to cooperate with other robots, ambience awareness and an artificial genome that can be passed on to other robots. These technologies are to materialize cognitive intelligence, social intelligence, behavioral intelligence, collective intelligence, ambient intelligence and genetic intelligence. The book aims at serving researchers and practitioners with a timely dissemination of the recent progress on robot intelligence technology and its applications, based on a collection of papers presented at the at the 2nd International Conference on Robot Intelligence Technology and Applications (RiTA), held in Denver, USA, December 18-20, 2013.

The development of non-invasive brain function measurement has enabled the knowledge that brain activity is the basis of human behavior and mental activity. Electroencephalography (EEG) is a method that measures the electrical nerve activity (primary signal) in the brain. EEG characteristics include high time resolution and low spatial resolution, but recently it has become possible to estimate the source of EEG signals due to advances in analysis and measurement techniques. Moreover, in the medical field, EEG is usually used as examination equipment, but it has been used as a rehabilitation tool to control human behavior and mental activity in recent years. This book outlines basic research and clinical applications of EEG.

This book takes into account three core policies: 'Every Child Matters', 'Personalised Learning', and 'Harnessing Technology', combined they are at the heart of changes to children and young peoples’ experiences of school. Harnessing Technology considers these policies and their interlinked relationship. It outlines the ways in which technology allows us to assess, track and monitor pupil progress and use this information to better support both their learning and their broader needs, making it an essential resource for training and practicing teachers, school leaders, and all those involved in educational transformation. To achieve the five outcomes of the 'Every Child Matters' agenda requires an approach that is pupil centred, with developments in new technologies making it possible to not only understand each individual more precisely, but also for them to learn in more flexible and personalised ways. Through innovations such as web based information sharing, learning platforms and e-portfolios, schools will be able to offer content appropriate to pupil’s personal goals, breaching conventional orthodoxies of time and place. How far these policies will transform schools and services for children and young people remains to be seen. Consideration is given within the book to the barriers to their success, the issues that impinge upon them, and questions asked about their capacity to bring about long-term, systemic, change.

This book presents the proceedings of the 5th International Conference on Signal Processing and Information Communications (ICSPIC)), which was held in Paris, France on March 14-16, 2022. The conference solicits papers on all aspects of signal processing and information communications, which includes mixed signal processing, multimedia signal processing, nonlinear signal processing, communication theory and techniques, optical communications, and wireless networks. The conference is made up of theorists and experts in advanced characterization techniques in the fields of signal processing and information communications, which brings researchers, practitioners, and scientists in discussion of the latest methods, research developments, and future opportunities.

Introduction to EEG- and Speech-Based Emotion Recognition Methods examines the background, methods, and utility of using electroencephalograms (EEGs) to detect and recognize different emotions. By incorporating these methods in brain-computer interface (BCI), we can achieve more natural, efficient communication between humans and computers. This book discusses how emotional states can be recognized in EEG images, and how this is useful for BCI applications. EEG and speech processing methods are explored, as are the technological basics of how to operate and record EEGs. Finally, the authors include information on EEG-based emotion recognition, classification, and a proposed EEG/speech fusion method for how to most accurately detect emotional states in EEG recordings. - Provides detailed insight on the science of emotion and the brain signals underlying this phenomenon - Examines emotions as a multimodal entity, utilizing a bimodal emotion recognition system of EEG and speech data - Details the implementation of techniques used for acquiring as well as analyzing EEG and speech signals for emotion recognition