Affective computing Affective Computing is also the title of a textbook on the subject by Rosalind Picard. Areas of affective computing[edit] Detecting and recognizing emotional information[edit] Detecting emotional information begins with passive sensors which capture data about the user's physical state or behavior without interpreting the input. Recognizing emotional information requires the extraction of meaningful patterns from the gathered data. Emotion in machines[edit] Another area within affective computing is the design of computational devices proposed to exhibit either innate emotional capabilities or that are capable of convincingly simulating emotions. Marvin Minsky, one of the pioneering computer scientists in artificial intelligence, relates emotions to the broader issues of machine intelligence stating in The Emotion Machine that emotion is "not especially different from the processes that we call 'thinking Technologies of affective computing[edit] Emotional speech[edit] Algorithms[edit]
Emotiv EPOC EEG Headset Hacked Bryan Bishop September 13, 2010 An Interview with Cody Brocious Cody Brocious has created Cody's Emokit project, an open source library for reading data directly from the Emotiv EPOC EEG headset. H+: So, why did you get into Emotiv hardware in the first place? CODY BROCIOUS: A consumer-grade EEG headset is a game changer. CB: Emokit — there's not much to it. H+: How would people use it? CB: You instantiate the Emotiv object from Emokit, set the ID for the headset, then there's a function that gives you a generator. H+: That sounds simple. CB: Yeah. H+: What has Emotiv's response been so far? CB: I posted the announcement copy on their forums. H+: How do you think Emotiv will respond? CB: As for how Emotiv is going to respond to any of this, there are a few different possibilities. It's clear that Emotiv is a company in the consumer brain-computer interface market. Overall, the entire Emotiv EPOC system is very basic. H+: Who should buy an Emotiv? CB: That's a good question. Resources: OpenViBE
OpenViBE EmoRate Future Applications EmoProfiles The list of potential applications for Affective Computing aka Computing With Emotions is incredible. “An EmoProfile is a profile that contains data cataloguing your emotional reactions to various stimuli, tagged by keywords and other ontological aids and statistics, in a manner that allows one profile to be compared with another or a group of other profiles digitally by any reasonable computing device.” As adoption of EmoProfiles spreads they will become powerful tools for predicting what someone likes and dislikes, and how compatible people will be with each other and when interacting in a group. Here is just a brief list of some of the amazing applications coming our way, made possible by affordable Brain Control Interfaces (BCI): Emotion Based Recommendation Systems And yes I’m betting that we will soon see an emotion enhanced Like/Dislike button coming from Facebook and popping up on web content everywhere. Emotion Guided Search Augmented Memory
Journal of Neural Engineering Dominique M Durand et al 2014 J. Neural Eng. 11 020201 Neural engineers have made significant, if not remarkable, progress in interfacing with the nervous system in the last ten years. In particular, neuromodulation of the brain has generated significant therapeutic benefits [1–5]. Although there are several multichannel arrays described in the literature, the workhorse for these cortical interfaces has been the Utah array [12]. The reasons for this failure are not known but clearly involve the interface between the electrode and the neural tissue. In 2013, two symposia were held independently to discuss this problem: one was held at the International Neuromodulation Society's 11th World Congress in Berlin and supported by the International Neuromodulation Society 1 and the other at the 6th International Neural Engineering conference in San Diego 2 and was supported by the NSF. (1) The ability to access remotely and reliably internal neural signals . References
Welcome to the OpenEEG project About the project Many people are interested in what is called neurofeedback or EEG biofeedback training, a generic mental training method which makes the trainee consciously aware of the general activity in the brain. This method shows great potential for improving many mental capabilities and exploring consciousness. Other people want to do experiments with brain-computer interfaces or just want to have a look at their brain at work. Unfortunately, commercial EEG devices are generally too expensive to become a hobbyist tool or toy. The OpenEEG project is about making plans and software for do-it-yourself EEG devices available for free (as in GPL). Right now, this site is mostly about the hardware; schematics, part lists, building instructions etc. Some regulatory business Commercial and clinical EEG devices must live up to certain standards. In other words, if you decide to build and use one -- the responsibility is yours.
EU project BRAIN - Brain-project.org LucidQuest Audio Brainwave Entrainment - Sonic Art & Engineering for the Brain/Mind IBVA UK - applications of brainwave biofeedback Ready to run on any version of Mac OS X is the beautiful IBVA version 5 software. Experience the immersive feedback from your EEG when you explore the beauty of the IBVA software: Data sampling from 0-960 Hz per channel for very high frequency EEG, 1920 samples per second transmitted by Bluetooth (class 2.0 upto 2.1 M/bits per second). IBVA displays brainwaves in realtime rendered in 3D colour and recorded to your hard drive for up to 8 hours. You can use video with iSight Mac built-in camera integrated into IBVA4: Live iSight video window for simultaneous synched recording with EEG NEW ! This also acts as a remote control for Quartz composer animation with Quartz Composer iPhone plugin for Mac. Play IBVA videos, Channel = Lucianaibva This is The Brainwave controlled Neurofeedback multimedia programme. NEW ! Click for a new larger screenshot from IBVA vs4 software: 1. Graphic display: Rawwave, Bargraph, Waterfall and Waterfall brain switches for left/right and coherence.
Brainwave entrainment Brainwave Entrainment is any practice that aims to cause brainwave frequencies to fall into step with a periodic stimulus having a frequency corresponding to the intended brain-state (for example, to induce sleep), usually attempted with the use of specialized software. It purportedly depends upon a "frequency following" response on the assumption that the human brain has a tendency to change its dominant EEG frequency towards the frequency of a dominant external stimulus.[citation needed] Such a stimulus is often aural, as in the case of binaural or monaural beats and isochronic tones, or else visual, as with a dreamachine, a combination of the two with a mind machine, or even electromagnetic radiation. Hemispheric Synchronization, a potential and generally desired result of brainwave entrainment, refers to a state when the brainwave pattern of the right and left hemispheres become alike. History[edit] Aural entrainment[edit] Binaural beats[edit] Binaural beats Monaural beats[edit]
NeuroServer software Neuroserver is a project started by Rudi Cilibrasi to provide a standard EEG server that mediates between the raw EEG devices and all the various EEG applications that the user may wish to run to analyse the incoming EEG data. Data is transmitted using TCP/IP, which means that the EEG data can just as easily pass over a network (or even the internet) as stay on the same machine. Standard EDF is used for header information and for file storage. Currently (Jul-2004), the server runs and handles data from the modularEEG device (P2/P3 firmware), and there is application support for it in BioEra, BrainBay and EEGMIR.