iPhone Mobile App that Reads your Brain Activity

MELON company from USA created a headband, very simple to use, that reads your brain activity. This device uses the electroencephalography to measure your focus level and process it to show the results in your iPhone.

Gain insight into how your mind works by tracking your focus during any activity you choose. Understand yourself. Learn differently. Imagine if you could see and understand the invisible activity of your brain. Could you transform how you work? Improve the way you meditate? Find a new way to be creative? Melon is a headband and mobile app duo that tracks and helps you improve your focus in relation to your activity, your environment, your emotions, and any other behavior you want to track.

For the developer community there are a Software Development Kit for iOS and Android apps, where it is possible to access to raw data, list of algorithms for different mental states and connect to and control other Bluetooth devices

This project is undoubtedly one step further to the future of BCI.

BCI Technologies: BrainTech Israel 2013

Israel will host their 1st International Brain Technology Conference at October, 14-15, 2013.

This conference will be a unique and innovative event, showcasing the latest developments in the field in Israel and around the world,  and featuring top-tier speakers from the world of neurotechnology along with engaging panels and networking opportunities. The event will bring together companies, entrepreneurs, academics, investors and life science and technology multinationals to explore opportunities in brain technology and enhance collaboration.

For more information about this conference press here.

Israel invests heavily on the study of the brain and has recently created a research center at the Hebrew University of Jerusalem.
The 14,500 square-meter building include state-of-the-art labs, classrooms, an innovative imaging center and areas for biological and pre-clinical research. Significant emphasis were placed on constructing an environmentally friendly building with a focus on conserving energy and reducing carbon dioxide emissions.

Another concrete example of great investment in the study of the brain that is being done all over the world.

BCI State of the art: International BCI Meeting 2013

The Fifth International Brain-Computer Interface Meeting occurred at Asilomar Conference Center in Pacific Grove, California from June 3rd - 7th, 2013. It was an International BCI Meeting organized by a committee of BCI researchers from around the world. 

Here is the list of all the individual abstracts providing the most recent BCI state of the art:

• The effect of real-time positive and negative feedback on motor imagery performance
• Perceptual learning via decoded-EEG neurofeedback
• Investigation of the utility of mind-body awareness training in the early learning of a 1D sensorimotor 
• Training effects of multiple auditory BCI sessions
• Motivation and SMR-BCI: The Fear to Fail affects BCI Performance
• EEG Evaluation During Stress Emotional State Elicited by Unpleasant Sounds Applied in BCI
• The Effects of Motivation on Task Performance using the BCI
• Towards neurofeedback for improving visual attention
• Feel the BCI vibe - vibrotactile BCI feedback
• A tactile P300-based BCI
• On the Need for Both Internal and External Context Awareness for Reliable BCIs
• Classification of Auditory Steady-State Responses Incorporating Alpha Waves
• Self-paced BCI with NIRS based on speech activity
• Using Multiple Reward Related Signals in the Adaptation of Neuoprosthetic Decoders
• Temporal and Spatial Distribution of Workload-Induced Power Modulations of EEG Rhythms
• On Oscillatory EEG during Palm and Finger Movements
• Error Potentials for Brain-Computer Interfaces
• Unsupervised BCI calibration as possibility for communication in CLIS patients?
• Probabilistic Co-Adaptive Brain-Computer Interfacing
• Brain-Computer Interface Controlled Robotic Gait Orthosis
• Humanoid Robot Control with SSVEP on Embedded System
• Single Trial Classification of Imagined Hand Postures
• SSVEP based Brain-Computer Interface combined with video for robotic control
• High performance prediction of 3D-trajectory of hand from ECoG 
• 3D Trajectory Reconstruction of Upper Limb Based on EEG
• Muscular Activity Estimation from EEGs Using Component Analysis for B. Machine Interface
• On classifiying artifactual independent components: Generalization ability to different electrode setups
• Increasing the Spectral Signal-To-Noise Ratio of Common Spatial Patterns
• Bayesian Priors for Classifier Design in RSVP Keyboard
• A Stimulus-Free Brain-Computer Interface using Mental Tasks and Echo State Networks
• An Auditory Brain-computer Interface Based on Three-stimulus Oddball Paradigm 
• Implementation of a new independent SSVEP-based BCI
• Listen to the frog! An auditory P300 brain-computer interface with directional cues and natural sounds
• Auditory Brain Computer Interface Using Natural Sound
• A novel approach to auditory EEG based spelling
• Optimized ERP-based BCI using the stimulus of multi-familiar faces
• Fixing a Standard Matrix Size for BCI-360 Applications
• BCI using space-time-frequency coding protocol
• BCI-based operation of off-the-shelf software applications: Towards a General-Purpose Application 
• Investigation of Optimal Mental Task Combinations for EEG-based Brain-Computer Interface (BCI)
• A portable immersive virtual reality platform for motor-imagery guided rehabilitation 
• Comparison of Adaptive Symbol Presentation Methods for RSVP Keyboard
• A Motor Imagery Based Asynchronous BCI Speller
• Characterizing the SSVEP Spectrum using a Broadband Noise Stimulus
• Towards implicit control through steady-state somatosensory evoked potentials
• Cloud-Based Analysis of EEG Signals for BCI Applications
• Bringing Big Data to Neural Interfaces
• Predicting changes in neural tuning during BCI learning
• Proposing a Novel Feedback Provision Paradigm for Restorative Brain-Computer Interfaces
• Dynamic Stopping in a Calibration-less P300 Speller
• Simultaneous BCI operation and electrophysiological assessment to identify brain signal features
• EEG-predictors of covert vigilant attention
• The Effect of Task Based Motivation on BCI Performance: A Preliminary Outlook
• Multi-command Tactile and Auditory Brain Computer Interface based on Head Position Stimulation
• Using generic models to improve tactile ERP-BCI performance of low aptitude users
• Improving Dynamic Data Collection in P300 spellers with a Language Model
• The Use of Phonetic Similarity Cues in Auditory Spellers
• Predicting the performance of a MI-based BCI based on pre-cue EEG data
• Brain mapping as a tool for improving a physiologically based features selection for BCI applications
• Classification of Various Mental Task Combinations for NIRS-based Brain-Computer Interface
• ERPs in the P300 BCI: Sensitivity to Matrix Size and Task
• Electrocorticographic gamma band power correlates with the velocity of upper extremity movements
• Cortically-derived error-signals during BCI use
• Strategy for Reducing Calibration Time with Invariant Common Spatio-Spectral Patterns
• Self-Calibration in an asynchronous P300-based BCI
• Robotic Arm Control Using a Non-Invasive EEG-based BCI
• Eye to eye contact: controlling robot using P300 BCI
• Intelligent adaptive user interfaces for BCI based robotic control
• Task Identification Using Fluctuation Analysis
• Decoding grip types from premotor, parietal, and motor cortex
• Classifying speed and force from movement intentions using entropy and a support vector machine
• Individual selection of mental tasks and frequency bands boosts performance
• EEG Independent Component Polarity Normalization by Convex Relaxation 
• Performance Enhancement by Sparse Representation of EEG Signals for Motor Imagery 
• Performance prediction in motor imagery BCI
• Basis Selection for Increased Interclass Separability of EEG Signals
• Denoising and Time-window selection using Wavelet-based Semblance for improving ERP detection
• Efficient Adaptive Stimulus Sequencing for Improved P300 Speller Performance
• EEG Channel Optimization based on Differential Evolutionary Algorithm for BCI Application
• Frequency recognition of AM-SSVEP using modified CCA and PSDA
• Phase Information Enhanced SSVEP-BCI Using a Canonical Correlation Analysis Neural Network
• Comparison of P300 Responses in Auditory, Visual and Audiovisual Spatial Speller BCI Paradigms
• Motor Imagery BCI Feedback Presented as a 3D VBAP Auditory Asteroids Game
• A new stimulation method of virtual speller for simultanous P300 and SSVEP responses
• Error Analysis of the Region-based P300 Brain-Computer Interface Speller
• A hybrid control of a P300-based BCI: a solution to improve system usability?
• Design of Optimal Keyboard Layouts for a Mental Speller
• Effects of Varying Presentation Rate and Sequence Length on User Performance 
• BCILAB: A Toolbox for Rapid Development of Advanced BCI Designs
• SSVEP-based BCI Stimulation Frequency Selection Training and Detection approaches
• Towards a Free and Open Source BCI System Written in Python
• An Online SSVEP-based Brain-computer Interface for Freely Moving Humans
• Objective Indication of Fatigue in SSVEP-based BCI through EEG Spectral Analysis
• Auditory BCIs for Visually Impaired Users
• BCI Research at Inria Bordeaux: making BCI designs usable outside the lab
• Towards a Low Cost mu-rhythm Based BCI
• A Comparison of EEG Systems for use in P300 Spellers by Users with Motor Impairments
• Visual and Stereo Audio Sensorimotor Rhythm Feedback in the Minimally Conscious State 
• Selective enhancement of motor imagery features using transcranial direct current stimulation
• Different Uses of Non-invasive BCI for Controlling Neuroprostheses: Case Studies with End-Users
• Rapid prototyping for BNCI users with Cerebral palsy
• The N100 of Averaged ERPs Predicts LDA Classifier Success on an Individual Basis
• EEG Correlates of Performance during Long-term use of a P300 BCI 
• Decoding Individual Finger Movements using Noninvasive EEG
• Controlling an Avatar by Thought using Real-Time fMRI
• Development of an Intracortical Eye Movement-Based Brain-Computer Interface
• Pairwise Classification of Phoneme Imagery Using CSP
• Mouth Motor movement based BCI
• Using a Brain-Computer Interface to Assess Awareness after Brain Injury
• Classifying volition for comatose patients: a BCI perspective
• Cooperating Brains: Dual-BCI as a New Paradigm to Investigate Brain-to-Brain Coordination
• Cooperating Brains: Joint Control of a Dual-BCI
• An ambulatory BCI-driven orthosis for stroke rehabilitation
• A Scene-combined navigation method based on Newton's Rings Paradigm 
• Tactually-evoked event-related potentials for BCI-based wheelchair control
• Detection of Motor Imagery of Swallow With Model Adaptation: Swallow Or Tongue?
• Towards Biometric Person Identification using fNIRS
• Detecting cognitive states for enhancing driving experience
• Neuroresponsive Media: SSVEP-based Interactive Experiences
• Iterative EEG-based Natural Image Search under RSVP
• EEG-based Emotion Detection in Music Listening
• P300-based Brain Computer Interface for Internet Browsing, Blogging and Storytelling
• Real-Time Functional Brain Mapping
• Evaluating hold-release functionality in a P300 BCI
• Prediction of Multiple Upcoming Emergencies during Simulated Driving based on ERP
• Design of Dry Electrodes for EEG based BCI systems
• Dry and Wireless EEG-based Brain-Computer Interfaces for Real-World Applications
• Comparison of Invasive Chronic Electrodes for Brain-Computer Interface Applications
• Brain Computer Interface Using Chromatic Transient Visual Stimulus Array
• Modeling the Electroencephalogram using Intracranial Signals
• Real-Time Estimation and 3D Visualization of Source Dynamics and Connectivity 
• Long-Term Independent BCI Home-Use by a Locked-In End-User: An evaluation study 
• Evaluation of Four different BCI prototypes by severely motor-restricted End-Users
• Correctly Applying Performance Metrics to Neuroprosthetic Control Interfaces
• Preliminary design and performance standards for BCI desired by potential users 
• An Improved Auditory Streaming BCI with Voice Stimuli
• Limitations of NIRS-based BCI for Realistic Applications in Human-Computer Interaction
• Transfer Learning for Accelerated P300 Speller Training
• Transferring BCI skills to successful application controls
• Effects of workload on P300 BCI signals and accuracy
• Assessment of the P300 evoked potentials latency stability during c(o)vert attention BCI
• Stability of Local Field Potentials Over 11 Months of Brain-Machine Interface Use
• Are BCIs Coming of Age as AAC Systems?
• Assessing information processing in patients with long-term and severe disorders of consciousness
• Clinical Screening Protocol for RSVP Keyboard™ BCI Use
• Comparison of the Checkerboard P300 Speller vs. the Row-Column Speller  
• "Selection Strategies" for the RSVP Keyboard™ BCI: Different Strokes for Different Folks
• Enhancing Brain-Computer Interface Performance in an ALS population: Checkerboard paradigms
• Towards a novel control paradigm based on decoding imagined movements from EEG
• Decoding complex hand movements using high density ECoG and high field fMRI
• Using ECoG Gamma Activity to Model the Mel-Frequency Cepstral Coefficients of Speech
• Decoding Articulatory Properties of Overt Speech from Electrocorticography
• Detecting brain responsivity in disorders of consciousness: a BCI-based methodology
• A platform for the detection of brain activity changes in patients diagnosed with Disorders
• A General Framework for Implementing A Multi-Subject Brain-Computer Interface
• Brain-Computer Interface Supported Collaborative Work

• Motor Recovery After Stroke by Means of BCI-Guided Functional Electrical Stimulation
• Brain Interface to Control a Tele-Operated Robot
• On-board Neural Processor on Vehicular BMI for Rat toward Long-term Operation
• Categorizing outdoor places using EEG signals 
• BCI games with motion capture and its possibilities in rehabilitation
• A Neurofeedback Approach to Supporting Characters in Virtual Stories
• Review: Movement related cortical potential based brain computer interface for rehabilitation
• Using BCI to play games with brain signals: an organic interaction process through NeuroBodyGame 
• Distinguishing between target and non-target fixations in a visual search task 
• Braib-activity-driven real.time music emotive control
• The Musical BCI: Control by Selective Listening
• Microneedle array integrated on a flexible substrate to fabricate dry electrode
• One-dimensional imaginary movement cursor control using disc and tripolar electrodes
• Simulation comparisons of the spatial resolution beteen disc and tripolar concentric ring electrodes

• Non-Invasive versus Invasive Brain-Computer Interfaces
• Impedance, histology, stability and longevity of the Neurotrophic Electrode in rats, and humans
• Design of a multichannel cortical stimulator prototype for future neuroprosthetic research
• Identification of Cortical Target Regions for Intracranial BCI Based on Covert Spatial Attention 
• Which Neural Signals are Optimal for Brain-Computer Interface Control?
• Transcranial Doppler Ultrasonography-Driven Online Augmentative and Alternative Communication 
• Tensor decomposition on EEG of music imagination
• Towards a broad-scale Usability Evaluation of Hybrid BCIs
• The Brindisys project: Brain Computer Interfaces as assistive technology for people with ALS
• Autonomy and Social Inclusion for the Severely Disabled: The BrainAble Prototype
• Measuring (limitations on) control precision in BCI