Discover the Why of the Brain

Electroencephalography (EEG) is a non-invasive neuroimaging technique that measures the electrical activity of the brain through electrodes placed on the scalp. EEG can be used for various research applications, including studying brain function and activity, identifying neurological disorders, and investigating the effects of drugs or other interventions on brain activity. EEG is particularly useful for studying brain activity in real-time and identifying the timing and location of brain activity associated with specific cognitive processes or behaviors. It can also be used in clinical settings to diagnose and monitor neurological disorders such as epilepsy, sleep disorders, and traumatic brain injuries. Additionally, EEG can be used to investigate the effects of various interventions, such as cognitive training or neurofeedback, on brain activity and function.


What Causes the "Stoke" in Surfing?

For surfers, catching the perfect wave can induce a state of pure ecstasy known as the “stoke”. But what’s happening in the brain during this ultimate ride? Wearable Sensing created a custom dry EEG system that measures brainwaves during surfing. They partnered with Red Bull to use this technology on professional surfers to uncover the neurophysiological aspects of surfing. The dry EEG system is worn on the head like a swimming cap, and it allows for the measurement of brain activity in real-time during surfing. By studying the brainwaves of surfers during their best rides, researchers hope to understand what goes on in the brain during moments of flow and peak performance, and ultimately unlock the secrets to achieving that elusive state of “stoke”.

Predicting hypoxic hypoxia using machine learning and wearable sensors

In this study, wearable sensors and machine learning-based algorithms were used to predict hypoxia in-flight. The group used Wearable Sensing’s dry-EEG technology to collect sensor data from 85 participants during a two-phase study. Participants wore aviation flight masks, which regulated their oxygen intake while performing cognitive tests and simulated flying tasks. EEG data was collected and analyzed using principal component analysis and machine learning algorithms, including Naïve Bayes, decision tree, random forest, and neural network algorithms, to classify the data as normal or hypoxic. The results showed high sensitivity and specificity, indicating potential for developing a real-time, in-flight hypoxia detection system.

An experimental protocol for exploration of stress in an immersive VR scenario with EEG

This paper proposes a protocol for assessing stress using wearable sensing technology, including Electroencephalography (EEG), Electrocardiography (ECG), and the Perceived Stress Scale, in combination with a Virtual Reality phobia induction setting. Wearable Sensing’s dry EEG technology is used to measure brain activity and investigate functional brain connectivity associated with stress. The proposed protocol can be expanded with the incorporation of machine learning algorithms for automatic stress level classification.



All of Wearable Sensing's Dry EEG systems can be utilized for Brain Computer Interfaces

NeuSenW High-Density EEG

All of Wearable Sensing's Wet EEG systems can be utilized for Brain Computer Interfaces



Machine learning algorithms for cognitive state classification, such as mental workload, engagement, and fatigue

3rd Party Compatible Software

List of compatible software, including Neurofeedback, BCI, EEG Analysis, SDK's, and more


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Rueda-Parra, S.; Hardesty, R. L.; Gemoets, D.; Hill, J.; Gupta, D.

Reliability testing of EEG spectral features in a robot-based arm movement task Conference

Society for Neuroscience 2024.

Abstract | Links | BibTeX

Gupta, D.; Brangaccio, J. A.; Mojtabavi, H.; Wolpaw, J.; Hill, J.

Single-trial decoding of somatosensory evoked potentials: Effect of stimulation frequency Conference

Society for Neuroscience 2024.

Abstract | Links | BibTeX

Moon, JaeYoung; Cho, EunHye; Jo, Yeabon; Kim, KyungJoong; Song, Eunsung

Investigating the Effect of Emotional Matching between Game and Background Music on Game Experience in a Valence–Arousal Space Journal Article

In: IEEE Transactions on Games, pp. 1-20, 2024.

Abstract | Links | BibTeX

Oikonomou, Vangelis P; Geordiadis, Kostas; Kalaganis, Fotis P; Nikolopoulos, Spiros; Kompatsiaris, Ioannis

Prediction of Successful Memory Formation during Audiovisual advertising using EEG signals Conference

2024 IEEE Conference on Artificial Intelligence (CAI) 2024.

Abstract | Links | BibTeX

Kim, Sanghee; Ryu, Jihye; Lee, Yujeong; Lee, Kweonhyoung

Exploring the Influence of Subjective Thermal Perception on Electroencephalogram Characteristics Based on Prior Thermal Experience Journal Article

In: Building and Environment, pp. 111719, 2024.

Abstract | Links | BibTeX

Cheng, Chia-Hsiung; Hsieh, Yu-Wei; Chang, Chiung-Chih; Hsiao, Fu-Jung; Chen, Li-Fen; Wang, Pei-Ning

Effects of 6-Month Combined Physical Exercise and Cognitive Training on Neuropsychological and Neurophysiological Function in Older Adults with Subjective Cognitive Decline: A Randomized Controlled Trial Journal Article

In: Journal of Alzheimer's Disease, no. Preprint, pp. 1–18, 2024.

Abstract | Links | BibTeX

Chiossi, Francesco; Ou, Changkun; Mayer, Sven

Optimizing Visual Complexity for Physiologically-Adaptive VR Systems: Evaluating a Multimodal Dataset using EDA, ECG and EEG Features Conference


Abstract | Links | BibTeX

Jeong, Chang Hyeon; Lim, Hyunmi; Lee, Jiye; Lee, Hye Sun; Ku, Jeonghun; Kang, Youn Joo

Attentional state-synchronous peripheral electrical stimulation during action observation induced distinct modulation of corticospinal plasticity after stroke Journal Article

In: Frontiers in Neuroscience, vol. 18, pp. 1373589, 2024.

Abstract | Links | BibTeX

Li, Jian; Masullo, Massimiliano; Maffei, Luigi; Pascale, Aniello; Chau, Chi-kwan; Lin, Minqi

Improving informational-attentional masking of water sound on traffic noise by spatial variation settings: An in situ study with brain activity measurements Journal Article

In: Applied Acoustics, vol. 218, pp. 109904, 2024.

Abstract | Links | BibTeX

Kim, Sanghee; Ryu, Jihye; Lee, Yujeong; Park, Hyejin; Lee, Kweonhyoung

Methods for Selecting Design Alternatives through Integrated Analysis of Energy Performance of Buildings and the Physiological Responses of Occupants Journal Article

In: Buildings, vol. 14, no. 1, pp. 237, 2024.

Abstract | Links | BibTeX

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