Mental health is a critical societal issue and early screening is vital to enabling timely treatment. The rise of text-based communications provides new modalities that can be used to passively screen for mental illnesses. In this paper we present an ...

The automatic detection of hand washing has numerous applications in work and medical environments. Checking the compliance with hygiene standard in hospitals, or personal hygiene support are examples thereof. However, hand-washing can also become ...

Wearable devices enable the continuous and unobtrusive monitoring of physiological data, e.g., electrodermal activity (EDA), and they allow to build machine learning models to recognize human emotions, stress, and more. However, the quality of the ...

Auritus is an extendable and open-source optimization toolkit designed to enhance and replicate earable applications. Auritus serves two primary functions. Firstly, Auritus handles data collection, pre-processing, and labeling tasks for creating ...

Earables (a.k.a ear-worn wearable devices) are gaining traction in the wearables ecosystem for monitoring user health. Human activity recognition (HAR) is a promising use case of earables due to their placement on the head and the combination of ...

Understanding the level of participation for a remote attendee in an online meeting setup could significantly improve the quality of experience for virtual interaction. However, gauging audience involvement over an online meeting becomes particularly ...

Facial expression recognition has been widely explored to demonstrate people’s emotional states. However, existing systems primarily rely on external devices which seems less accessible and efficient. To this end, we propose PPGface, a ubiquitous ...

Electroencephalography (EEG) allows the study of the brain in humans with applications in areas of Psychology, Brain-Computer Interfaces, and Neuromarketing. The conventional systems limit the applications of EEG to lab environments, but recent ...

Map applications on smartphones are powerful navigation tools for walking among places to visit for the first time and are widely used. On the other hand, checking the map applications tend to cause accidents on the road such as collisions with people, ...

Earables are ear-worn devices that offer functionalities beyond basic audio in- and output. In this paper we present the ongoing development of a new, open-source, Arduino-based earable platform called OpenEarable. It is based on standard components, ...

Sleep quality has a significant impact on human’s physical and mental well-being. While there exist several definitions of what makes a good quantity and quality of sleep, such measures are not always in agreement with each other. Further, they often ...

Previous studies have shown that not only player skill but also psychological factors contribute to improving archery scores. Therefore, in addition to improving learners’ posture, an archery learning support system is required to improve psychological ...

Early treatment of depression has been proven to be very effective. However, diagnosing depression remains a challenge with current diagnostic tools. Research has begun exploring digital and mobile modalities for depression screening. In our research, ...

Different people experiencing the same stressor can have different psycho-physiological reactions. Such differences happen even when reporting the same affective state. While this mismatch causes a drop in affect recognition performance, researchers ...

As the Attention Economy has grown, numerous digital contents are made with the intention of capturing users’ attention and spending more of their time by the use of attractive graphics and color psychology. In this paper, we propose a novel defense ...

Reducing the amount of sugar consumed from daily beverages is essential for well-being. However, since a sudden reduction in intake is mentally painful for those who prefer sweetened beverages, solutions are needed to help them gradually become ...

Mobile Crowdsensing Systems (MCS) often utilize non-dedicated mobile agents (e.g., ridesharing cars) equipped with sensors to collect urban data as they move around a city. Utilizing these non-dedicated agents provides a cheap means for mobile ...

As an important component of Cyber-Physical Systems (CPS), wireless sensor network faces challenges of computation, communication and privacy. For employing DNN with large capacity in CPS, splitting computing (SC) is proposed, in which transmitting ...

As an important component of Cyber-Physical Systems (CPS), wireless sensor network faces challenges of computation, communication and privacy. For employing DNN with large capacity in CPS, splitting computing (SC) is proposed, in which transmitting ...

Sensing the surface properties through touch, as the most natural perceptual way of humans, has become an important and practical method for human-machine interactions (HMI) and robot manipulations. In this paper, we design a fingertip hybrid flexible ...