Sensing with earables: A systematic literature review and taxonomy of phenomena

T Röddiger, C Clarke, P Breitling… - Proceedings of the …, 2022 - dl.acm.org
Earables have emerged as a unique platform for ubiquitous computing by augmenting ear-
worn devices with state-of-the-art sensing. This new platform has spurred a wealth of new …

Hearables, in-ear sensing devices for bio-signal acquisition: a narrative review

CKH Ne, J Muzaffar, A Amlani… - Expert Review of Medical …, 2021 - Taylor & Francis
Introduction Hearables are ear devices used for multiple purposes including
ubiquitous/remote monitoring of vital signals. This can support early detection, prevention …

Open-source concealed EEG data collection for Brain-computer-interfaces-neural observation through OpenBCI amplifiers with around-the-ear cEEGrid electrodes

MT Knierim, C Berger, P Reali - Brain-Computer Interfaces, 2021 - Taylor & Francis
Observing brain activity in real life offers exciting possibilities like the support of physical
health, mental well-being, and thought-controlled interaction modalities. The development of …

Speech-imagery-based brain–computer interface system using ear-EEG

N Kaongoen, J Choi, S Jo - Journal of neural engineering, 2021 - iopscience.iop.org
Objective. This study investigates the efficacy of electroencephalography (EEG) centered
around the user's ears (ear-EEG) for a speech-imagery-based brain–computer interface …

[HTML][HTML] A simplified design of a cEEGrid ear-electrode adapter for the OpenBCI biosensing platform

MT Knierim, M Schemmer, N Bauer - HardwareX, 2022 - Elsevier
We present a simplified design of an ear-centered sensing system built around the OpenBCI
Cyton & Daisy biosignal amplifiers and the flex-printed cEEGrid ear-EEG electrodes. This …

A 1.5 mm2 4-Channel EEG/BIOZ Acquisition ASIC with 15.2-bit 3-step ADC based on a signal-dependent low-power strategy

H Jin, W Hu, Y Zhao, Y Jiang, Y Ye… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
This article presents a multichannel EEG/BIOZ acquisition application specific integrated
circuit (ASIC) with 4 EEG channels and a BIOZ channel, a switch resistor low-pass filter (SR …

An investigation of in-ear sensing for motor task classification

X Wu, W Zhang, Z Fu, RTH Cheung… - Journal of Neural …, 2020 - iopscience.iop.org
Objective. Our study aims to investigate the feasibility of in-ear sensing for human–computer
interface. Approach. We first measured the agreement between in-ear biopotential and scalp …

An ear-EEG-based brain-computer interface using concentration level for control

N Kaongoen, S Jo - 2020 8th International Winter Conference …, 2020 - ieeexplore.ieee.org
Ear-EEG is an alternative EEG acquisition method to the scalp-EEG conventionally used in
Brain-Computer Interface (BCI). It is a more comfortable, discreet, and fashionable method …

Open-Source Concealed EEG Data Collection for Brain-Computer-Interfaces--Real-World Neural Observation Through OpenBCI Amplifiers with Around-the-Ear …

MT Knierim, C Berger, P Reali - arXiv preprint arXiv:2102.00414, 2021 - arxiv.org
Observing brain activity in real-world settings offers exciting possibilities like the support of
physical health, mental well-being, and thought-controlled interaction modalities. The …

Apply 2D convolution kernels on EEGNet to improve classification accuracy

CH Lee, BY Jiang, CM Huang, CM Wu - Proceedings of the 2024 8th …, 2024 - dl.acm.org
The electroencephalogram (EEG) is crucial in both medical and research categories,
providing insights into continuous and irregular electrical potential fluctuations on the scalp …