Brain Art Brain-Computer Interfaces for Artistic Expression /

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Nijholt, Anton (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2019.
• Έκδοση: 1st ed. 2019.
• Θέματα: User interfaces (Computer systems).; Application software.; Neurosciences.; Input-output equipment (Computers).; User Interfaces and Human Computer Interaction.; Computer Appl. in Arts and Humanities.; Input/Output and Data Communications.

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...

Πίνακας περιεχομένων:

• Introduction: Brain-computer interfaces for artistic expression
• A state of the art and taxonomy of contemporary artworks that employ EEG-based brain-computer interfaces
• Understanding perceptual experience of art using Mobile Brain/Body imaging
• The making of Brain Painting - from the idea to daily life use by people in the locked-in state
• The interface is the work: EEG-feedback, arts and the rise of real-time brainmedia (1964-1977)
• Using synchrony-based neurofeedback art in search of human connectedness
• EEG KISS: shared multi brain, multi modal, BCI experience
• New ways of knowing ourselves. BCI facilitating artistic exploration of our biology
• The BR4IN.IO hackathons
• BCI-Based Expressive Arts: Moving Toward Mind-Body Alignment
• Understanding the Neural Basis of Artistic Expression through Mobile Brain-Body Imaging
• Evaluating BCI for musical expression: historical approaches, challenges and solutions
• Methods and Tools for using BCI with Augmented and Virtual Reality
• Brain Controlled Cinema
• Self-Consciousness and Physical Memory: An immersive, kinetic art installation driven by real-time and archival EEG signals.