The new version of the OpenEarable hardware and software is now available. All features of the previous version are still available, but we added a few new ones. The design is more wearable friendly by supporting a flexible earpiece. In addition the earpiece is now exchangeable and can be replaced by a custom one.

In recent years, more and more consumer earphones come equipped with inertial measurement units (IMUs). Using such sensors, past research has broadly explored earables for fitness applications. Tying in with this research, we initially evaluated how the accelerometer inside earables may be leveraged to conduct vertical jump testing, which is a common standard measure to assess fitness ...

Earables research is a promising field in Human-Computer Interaction (HCI) due to the variety of observable phenomena that can be captured by sensors placed in the ear region. However, this field is hindered by the use of custom-built hardware and software, which can create barriers for less experienced researchers and lead ...

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 research exploring what can be detected on a wearable, small form factor. As a sensing platform, the ears are ...

Earables are ear-worn devices that offer functionalities beyond basic audio in- and output. In this paper we present the ongoing de- velopment of a new, open-source, Arduino-based earable platform called OpenEarable. It is based on standard components, is easy to manufacture and costs roughly $40 per device at batch size ten. We present the first version of the device which is equipped with a series of sensors ...

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 design reduces the number of components that need to be sourced, reduces mechanical artefacts on the recording data ...

We explore how discreet input can be provided using the tensor tympani-a small muscle in the middle ear that some people can voluntarily contract to induce a dull rumbling sound. We investigate the prevalence and ability to control the muscle through an online questionnaire (N= 192) in which 43.2% ...

Chest compressions (CC) are the most important means of treating cardiac arrest but are challenging to perform. Real-time feedback of depth and rate can improve CC quality. For the first time, we compared three wearable positions and six depth, and rate estimation algorithms under the same conditions ...

Bad air quality and insufficient ventilation can have severe impacts on personal health. We present AirCase, a smart earable charging case that measures CO2, volatile organic compounds, humidity, air pressure, temperature, and light intensity. The case powers both the air quality system and the earables ...

Earables are an emerging sensory platform. In its realm, many past publications looked into sleep-related parameters such as sleep stages. However, none questioned their comfort and wearability during sleep. In our paper, we conducted a study with seven different market-available wearables targeted at day ...

This paper introduces the detection of episodes of increased cough (e.g. during illness) based on cough event classification using kinetic earables. In a twelve subject study, we collected voluntary weak and strong cough as well as five non-cough activities (e.g.,talking) under various conditions (e.g., walking) ...

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 such ...

Bruxism is associated with multiple health issues and affects millions of people worldwide. To enable effective interventions, precise, easy-to-use and unobtrusive detection systems are required. Unfortunately, especially for daytime bruxism, such systems still rely on electrodes placed on the face, recording diaries, and ...

NeuroIS scholars increasingly rely on more extensive and diverse sensor data to improve the understanding of information system (IS) use and to develop adaptive IS that foster individual and organizational productivity, growth, and well-being. Collecting such data often requires multiple recording devices, which leads to ...

State-of-the-art respiration tracking devices require specialized equipment, making them impractical for every day at-home respiration sensing. In this paper, we present the first system for sensing respiratory rates using in-ear headphone inertial measurement units (IMU). The approach is based ...