Hearables: Making Sense from Motion Artefacts in Ear-EEG for Real-Life Human Activity Classification

Hammour, Ghena; Mandic, Danilo P.

doi:10.1109/embc46164.2021.9629886

Cited by 12 publications

(7 citation statements)

References 18 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This property also ensured that energy from abrupt motion was absorbed, leading to lower motion artifacts. The viscoelastic approach to in-ear EEG has been utilized in numerous studies, demonstrating its capabilities in acquiring in-ear EEG for various applications, however, the device design has undergone only minor adjustments since its origination [36][37][38][39][40][41][42][43][44][45][46]. Some studies directly use commercially available flexible electrode as in-ear EEG sensing device.…”

Section: Viscoelastic Earpiecementioning

confidence: 99%

The future of wearable EEG: a review of ear-EEG technology and its applications

Kaongoen,

Choi,

Woo Choi

et al. 2023

J. Neural Eng.

View full text Add to dashboard Cite

Objective:This review paper provides a comprehensive overview of ear-EEG technology, which involves recording electroencephalogram (EEG) signals from electrodes placed in or around the ear, and its applications in the field of neural engineering.Approach:We conducted a thorough literature search using multiple databases to identify relevant studies related to ear-EEG technology and its various applications. We selected 123 publications and synthesized the information to highlight the main findings and trends in this field.Main Results:Our review highlights the potential of ear-EEG technology as the future of wearable EEG technology. We discuss the advantages and limitations of ear-EEG compared to traditional scalp-based EEG and methods to overcome those limitations. Through our review, we found that ear-EEG is a promising method that produces comparable results to conventional scalp-based methods. We review the development of ear-EEG sensing devices, including the design, types of sensors, and materials. We also review the current state of research on ear-EEG in different application areas such as brain-computer interfaces, and clinical monitoring.Significance:This review paper is the first to focus solely on reviewing ear-EEG research articles. As such, it serves as a valuable resource for researchers, clinicians, and engineers working in the field of neural engineering. Our review sheds light on the exciting future prospects of ear-EEG, and its potential to advance neural engineering research and become the future of wearable EEG technology.

show abstract

Section: Viscoelastic Earpiecementioning

confidence: 99%

The future of wearable EEG: a review of ear-EEG technology and its applications

Kaongoen,

Choi,

Woo Choi

et al. 2023

J. Neural Eng.

View full text Add to dashboard Cite

show abstract

“…The same prototype was used in subsequent works to study sleep monitoring, 104−106 person authentication, 107 and real-life human activity classification. 108…”

Section: Generic Earpiecesmentioning

confidence: 99%

“…After positioning, the memory foam expands and provides the sought-after electrode–skin contact. The same prototype was used in subsequent works to study sleep monitoring, − person authentication, and real-life human activity classification …”

Section: In-ear Eeg (Ear-eeg)mentioning

confidence: 99%

Advances in Electrode Materials for Scalp, Forehead, and Ear EEG: A Mini-Review

Petrossian

Kateb

Miquet-Westphal

et al. 2023

ACS Appl. Bio Mater.

View full text Add to dashboard Cite

Electroencephalogram (EEG) records the electrical activity of neurons in the cerebral cortex and is used extensively to diagnose, treat, and monitor psychiatric and neurological conditions. Reliable contact between the skin and the electrodes is essential for achieving consistency and for obtaining electroencephalographic information. There has been an increasing demand for effective equipment and electrodes to overcome the time-consuming and cumbersome application of traditional systems. Recently, ear-centered EEG has met with growing interest since it can provide good signal quality due to the proximity of the ear to the brain. In addition, it can facilitate mobile and unobtrusive usage due to its smaller size and ease of use, since it can be used without interfering with the patient’s daily activities. The purpose of this mini-review is to first introduce the broad range of electrodes used in conventional (scalp) EEG and subsequently discuss the state-of-the-art literature about around- and in-the-ear EEG.

show abstract

“…Moreover, in addition to brain monitoring, the detection of multiple other forms of vitals sign from the position of the ear have recently been established, for example the detection of heart rate, breathing rate, and blood oxygenation [36][37][38] and ECG [39]. Furthermore, the ability to provide environmental context, through classification of activities (such as talking, walking, and eating) during multi-modal ear-EEG recordings has also been demonstrated [40][41][42]; reliable separation of EEG from measurement noise, in addition to identification of the users activity, can greatly increase the utility and robustness of a wearable EEG fatigue monitoring system. Overall, 'hearable' devices hold much promise for the purpose of driver fatigue monitoring.…”

Section: Introductionmentioning

confidence: 99%

Hearables: Ear EEG Based Driver Fatigue Detection

Metin¹,

Amadori²,

Davies³

et al. 2023

Preprint

View full text Add to dashboard Cite

Ear EEG based driver fatigue monitoring systems have the potential to provide a seamless, efficient, and feasibly deployable alternative to existing scalp EEG based systems, which are often cumbersome and impractical. However, the feasibility of detecting the relevant delta, theta, alpha, and beta band EEG activity through the ear EEG is yet to be investigated. Through measurements of scalp and ear EEG on ten subjects during a simulated, monotonous driving experiment, this study provides statistical analysis of characteristic ear EEG changes that are associated with the transition from alert to mentally fatigued states, and subsequent testing of a machine learning based automatic fatigue detection model. Novel numerical evidence is provided to support the feasibility of detection of mental fatigue with ear EEG that is in agreement with widely reported scalp EEG findings. This study paves the way for the development of ultra-wearable and readily deployable hearables based driver fatigue monitoring systems.

show abstract

Hearables: Making Sense from Motion Artefacts in Ear-EEG for Real-Life Human Activity Classification

Cited by 12 publications

References 18 publications

The future of wearable EEG: a review of ear-EEG technology and its applications

The future of wearable EEG: a review of ear-EEG technology and its applications

Advances in Electrode Materials for Scalp, Forehead, and Ear EEG: A Mini-Review

Hearables: Ear EEG Based Driver Fatigue Detection

Contact Info

Product

Resources

About