Choose SMARTING mobi to bring convenience and simplicity to your research experiments and join the league of pioneers in mobile EEG.

High signal

Submillisecond time precision

Easy to use
mobile app



    Small light-weight EEG device for high quality recordings with accompanying mobile app for real-time brain activity monitoring, out of the lab, in real life.

    Whether paired with a PC or smartphone, SMARTING mobi provides superior data quality and high time-precision.



    SMARTING mobi is small, simple and mobile EEG device, with no need for any additional equipment, which makes it a powerful research tool that records EEG on the go:

    Psychology studies
    Sport studies
    Drowsiness/fatigue studies
    Serious gaming/VR studies


    SMARTING mobi supports synchronization with other sensors and simultaneous multi-amplifier streaming via labstreaming layer, so it can be used for cognitive group studies:

    In musical groups
    Among quiz players
    For sport psychology
    Interaction in multiplayer games


    SMARTING mobi is wearable device that features motion sensors, which means that you can detect body and head movements. It makes our device perfectly suitable for:

    Pairing behavioural & cognitive metrics
    Health and safety at work research
    Complementing neurological image
    Brain recordings in sport studies


    than 60g

    Light and Compact

    250-500Hz sampling

    0-133Hz flat frequency response High Signal quality

    Recording cap

    Customizable and Comfortable

    3D built-in gyroscope

    For recording head motion

    10m range

    Wireless recordings

    Up to 5 hours recordings

    Long battery life

    General characteristics





    Channel Type / Reference

    referential channels / recording with one electrode

    Input impedance

    1 GΩ

    Input Referred Noise

    <1 µV

    Input Range

    (-100)mV – 100 mV


    > 140 dB*




    3D Built-in

    *measured at 50Hz common mode


    Electrode Connectors


    EEG Cap Layouts




    Physical box size

    82x51x12 mm


    <60 grams

    AD conversion

    Sampling frequency

    250 or 500 Hz


    Parallel sampling




    0-250 Hz

    Flat Frequency Response

    0-133 Hz
    (3dB attenuation at 133Hz), true DC performance

    Anti-aliasing Filter


    Active Ground


    Communication type

    Wireless Communications

    Bluetooth range v2.1 + EDR

    Bluetooth range

    ~10 meters


    Power Supply

    USB Type-C

    Battery Type


    Operation time

    ~ 5 hours


    than 60g

    Light and Compact

    250-500Hz sampling

    0-133Hz flat frequency response High Signal quality

    Recording cap

    Customizable and Comfortable

    3D built-in gyroscope

    For recording head motion

    10m range

    Wireless recordings

    Up to 5 hours recordings

    Long battery life




    EasyCap is the official partner of mBrainTrain LLC, providing the EEG caps with standardized or custom electrode layout configuration. The caps are based on the Ag/AgCl sintered ring electrodes and they are comfortable for the long term EEG recordings.

    Mindfield biosystems

    SMARTING mobi is integrated with the eSense Skin Response and Temperature sensors. This allows synchronous recording of the EEG data, Galvanic Skin Response (GSR) and body temperature solely on the smartphone, which allows full mobility of the subjects.


    SMARTING mobi is integrated with the Mangold DataView and Interact software, which allows synchroneous recording of the EEG and video data. Mangold International is a world class leader in observational lab systems for behavioral research.

    Neurobs Presentation

    One and only solution for reliable ERP experiments on a smartphone that enables recording the ERPs in free environment. SMARTING mobi and Neurobs Presentation software enable wireless stimulus triggering protocol, both on smartphone and/ or PC.

    Pupil labs

    Pupil labs is an open source platform for eye tracking and egocentric vision research. SMARTING mobi and Pupil labs eye tracker can synchronously record the data using smartphone, which allows full mobility for both neuromaketing and neuroergonomics research.


    SMARTING mobi device is supported by OpenViBE. OpenViBE is an open source platform for the brain computer interface (BCI) and real-time neurofeedback experiments. OpenViBE supports both Windows and Linux OS.

    in the Box?

    • SMARTING mobi
    • Mobile phone
    • EEG cap
    • Smarting Streamer
    • Bluetooth dongle
    • Charger


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    Hendrikse M. M. E. , Llorach G. , Hohmann V. , Grimm G. Movement and Gaze Behavior in Virtual Audiovisual Listening Environments Resembling Everyday Life, Trends in Hearing, Volume 23 (2019).

    Phan H. , Chén Y.O. , Koch P. , Lu Z. , McLoughlin I. , Mertins A. , De Vos M. Towards More Accurate Automatic Sleep Staging via Deep Transfer Learning, arXiv:1907.13177.

    Kwak N. , Lee S. Error Correction Regression Framework for Enhancing the Decoding Accuracies of Ear-EEG Brain-Computer Interfaces, IEEE Transactions on Cybernetics.

    Nogueira W. , Dolhopiatenko H. , Schierholz I. , Büchner A. , Mirkovic B. , Bleichner M.G. , Debener S. Decoding Selective Attention in Normal Hearing Listeners and Bilateral Cochlear Implant Users With Concealed Ear EEG, Frontiers in Neuroscience, 13:720, 2019.

    Blum S. , Jacobsen N. , Bleichner M.G. , Debener S. A Riemannian Modification of Artifact Subspace Reconstruction for EEG Artifact Handling, Frontiers in Human Neuroscience, 13:141, 2019.

    Mirković B. , Debener S. , Schmidt J. , Jaegera M. , Neher T. Effects of directional sound processing and listener’s motivation on EEG responses to continuous noisy speech: Do normal-hearing and aided hearing-impaired listeners differ?, Hearing Research, 2019.

    Piñeyro Salvidegoitia M. , Jacobsen N. , Bauer A-KR. , Griffiths B. , Hanslmayr S. , Debener S. Out and about: Subsequent memory effect captured in a natural outdoor environment with smartphone EEG, Psychophysiology, 2019;e13331.

    Sterr A. , Ebajemito J. K. , Mikkelsen K. B. , Bonmati-Carrion M. A. , Santhi N. , della Monica C. , Grainger L. , Atzori G. , Revell V. , Debener S. , Dijk D. , DeVos M. Sleep EEG Derived From Behind-the-Ear Electrodes (cEEGrid) Compared to Standard Polysomnography: A Proof of Concept Study, Frontiers in Human Neuroscience, Hearing Research, 2019.

    Mikkelsen K. B. , Ebajemito J. K. , Bonmati-Carrion M. A. , Santhi N. , Revell V. L., Atzori G. , Monica C. , Debener S. , Dijk D. , Sterr A. , De Vos M. Machine-learning-derived sleep-wake staging from around-the-ear electroencephalogram outperforms manual scoring and actigraphy, J Sleep Res. , 2018; e12786.

    Bridwell D. A. , Henderson S. , Sorge M. , Plis S. , Calhoun V.D. , Relationships between alpha oscillations during speech preparation and the listener N400 ERP to the produced speech, Scientific Reports, 2018 ; 12838.

    Cao L. , Haendel B. , Increased influence of periphery on central visual processing in humans during walking, preprint

    Denk F. , Grzybowski M. , Ernst S. M. A. , Kollmeier B. , Debener S. , Bleichner M. G. Event-Related Potentials Measured From In and Around the Ear Electrodes Integrated in a Live Hearing Device for Monitoring Sound Perception, Trends in Hearing, Volume 22 (2018).

    Zamm A. , Debener S. , Bauer A. R., Bleichner M. G. , Alexander P. Demos A. P. , Palmer C. Amplitude envelope correlations measure synchronous cortical oscillations in performing musicians, Annals of the New York Academy of Sciences, 2018.

    Woestmann M. , Waschke P. , Obleser J. Prestimulus neural alpha power predicts confidence in discriminating indentical auditory stimuli, Eur J Neurosci, 2019;49:9-105.

    Mijović P. , Milovanović M. , Ković V. , Mijović B. , Gligorijević I. , Minović M. , Mačužić I. Communicating the user state: Introducing cognition-aware computing in industrial settings, Safety Science, 2018.

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    Zink R. , Proesmans S. , Bertrand A. , Van Huffel S. , De Vos M. Online detection of auditory attention with mobile EEG: closing the loop with neurofeedback, preprint

    Blum S. , Debener S. , Emkes R. , Volkening N. , Fudickar S. , Bleichner M. G. EEG recording and online signal processing on Android: A multi-app framework for brain-computer interfaces on smartphone, BioMed Research International, 2017.

    Zich C. , Harty S. , Kranczioch C. , Mansfield L. K. , Sella F. , Debener S. , Kadosh C. R. Modulating hemispheric lateralization by brain stimulation yields gain in mental and physical activity, Scientific Reports, 2017; 7:13430.

    Zamm A. , Palmera C. , Bauerb A. R. , Bleichner M. G. , Demosa A. P. , Debener S. Synchronizing MIDI and wireless EEG measurements during natural piano performance, Brain Research (2017).

    Zich C. , Debener S. , Schweinitz C. , Sterr A. , Meekes J. and Kranczioch C. High-Intensity Chronic Stroke Motor Imagery Neurofeedback Training at Home: Three Case Reports, Clinical EEG and Neuroscience, 2017; 1-10.

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