Journal: Journal of Ambient Intelligence and Humanized Computing

Abbreviation

Publisher

Springer

Journal Volumes

ISSN

1868-5137
1868-5145

Description

Filters

2013 - 20205
Reset filters

Search Results

Publications1 - 5 of 5
  • Route Selection for Mobile Sensor Nodes on Public Transport Networks
    Item type: Journal Article
    Saukh, Olga; Hasenfratz, David; Thiele, Lothar (2014)
    Journal of Ambient Intelligence and Humanized Computing
  • A multi-site study on walkability, data sharing and privacy perception using mobile sensing data gathered from the mk-sense platform
    Item type: Journal Article
    Hernández, Netzahualcóyotl; Arnrich, Bert; Favela, J.; et al. (2019)
    Journal of Ambient Intelligence and Humanized Computing
  • The adARC pattern analysis architecture for adaptive human activity recognition systems
    Item type: Journal Article
    Roggen, Daniel; Förster, Kilian; Calatroni, Alberto; et al. (2013)
    Journal of Ambient Intelligence and Humanized Computing
    Most approaches to recognize human activities rely on pattern recognition techniques that are trained once at design time, and then remain unchanged during usage. This reflects the assumption that the mapping between sensor signal patterns and activity classes is known at design-time. This cannot be guaranteed in mobile and pervasive computing, where unpredictable changes can often occur in open-ended environments. Run-time adaptation can address these issues. We introduce and formalize a data processing architecture extending current approaches that allows for a wide range of realizations of adaptive activity recognition systems. The adaptive activity recognition chain (adARC) includes self-monitoring, adaptation strategies and external feedback as components of the now closed-loop recognition system. We show an adARC capable of unsupervised self-adaptation to run-time changing class distributions. It improves activity recognition accuracy when sensors suffer from on-body displacement. We show an adARC capable of adaptation to changing sensor setups. It allows for scalability by enabling a recognition systems to autonomously exploit newly introduced sensors. We discuss other adaptive recognition systems within the adARC architecture. The results outline that this architecture frames a useful solution space for the real-world deployment of adaptive activity recognition systems. It allows to present and compare recognition systems in a coherent and modular manner. We discuss the challenges and new research directions resulting from this new perspective on adaptive activity recognition.
  • SonicSeat: design and evaluation of a seat position tracker based on ultrasonic sound measurements for rowing technique analysis
    Item type: Journal Article
    Gravenhorst, Franz; Thiem, Christoph; Tessendorf, Bernd; et al. (2014)
    Journal of Ambient Intelligence and Humanized Computing
  • Stress generation and non-intrusive measurement in virtual environments using eye tracking
    Item type: Journal Article
    Hirt, Christian; Eckard, Marcel; Kunz, Andreas (2020)
    Journal of Ambient Intelligence and Humanized Computing
    In real life, it is well understood how stress can be induced and how it is measured. While Virtual Reality (VR) applications can resemble such stress inducers, it is still an open question if and how stress can be measured in a non-intrusive way during VR exposure. Usually, the quality of VR applications is estimated by user acceptance in the form of presence. Presence itself describes the individual’s acceptance of a virtual environment as real and is measured by specific questionnaires. Accordingly, it is expected that stress strongly affects this presence and thus also the quality assessment. Consequently, identifying the stress level of a VR user may enable content creators to engage users more immersively by adjusting the virtual environment to the measured stress. In this paper, we thus propose to use a commercially available eye tracking device to detect stress while users are exploring a virtual environment. We describe a user study in which a VR task was implemented to induce stress, while users’ pupil diameter and pulse were measured and evaluated against a self-reported stress level. The results show a statistically significant correlation between self-reported stress and users’ pupil dilation and pulse, indicating that stress measurements can indeed be conducted during the use of a head-mounted display. If this indication can be successfully proven in a larger scope, it will open up a new era of affective VR applications using individual and dynamic adjustments in the virtual environment.
Publications1 - 5 of 5