Our daily affective states are a key element in the analysis of our quality of life (QoL). Yet, to date a reliable and accurate solution for an affect analysis in our daily environments does not exist. This paper draws a research path towards a development of a Body Area Network (emoBAN) that enables long-term monitoring and analysis of affective states, as well as provision of appropriate feed...

Modern knowledge work is highly intense and demanding, exposing workers to long-term psychosocial stress. In order address the problem, stress detection technologies have been developed, enabling continuous assessment of personal based on multimodal sensor data. However, stakeholders lack insights into how employees perceive different monitoring whether they are willing share stress-indicative ...

The paradigm Biometrics for Emotion Detection (BED) is introduced, which enables unobtrusive emotion recognition, taking into account varying environments. It uses the electrocardiogram (ECG) and speech, as a powerful but rarely used combination to unravel people’s emotions. BED was applied in two environments (i.e., office and home-like) in which 40 people watched 6 film scenes. It is shown th...

this study was inspired by vanpatten and uludag’s (2011) study on the transferability of training via processing instruction to output tasks and mori’s (2002) work on the development of talk-in-interaction during a group task. an interview was devised as the pretest, posttest, and delayed posttest to compare four intervention types for teaching the simple past passive: traditional intervention ...

To augment everyday environments as interface to computing may lead to more accessible and inclusive user interfaces, exploiting affordances existing in the physical world for interaction with digital functionality. A major challenge for such interfaces is to preserve accustomed uses while providing unobtrusive access to new services. In this paper we discuss augmentation of common surfaces suc...

Smartphones are increasingly utilized in society and enable scientists to record a wide range of behavioral and environmental information. These information, referred to as Unobtrusive Ecological Momentary Assessment Data, might support prediction procedures regarding the mood level of users and simultaneously contribute to an enhancement of therapy strategies. In this paper, we analyze how the...

In pervasive context recognition and user identification applications, unobtrusive recognition of user height and posture is difficult. With the current state of technology, this becomes even harder in environments where cameras are not desired or allowed. This paper answers this problem by presenting a simple, unobtrusive, and low-cost system for measuring height and posture of the user. The m...