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Auflistung nach Schlagwort "Age"

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  • Konferenzbeitrag
    Best Practices for Designing Electronic Healthcare Devices and Services for the Elderly
    (i-com: Vol. 15, No. 1, 2016) Wille, Matthias; Theis, Sabine; Rasche, Peter; Bröhl, Christina; Schlick, Christopher; Mertens, Alexander
    Demographic change and associated shifts in the age structure lead to major challenges in health processes. One way to address this is to increase the use of telemedicine systems and services to ensure non-local yet individualized patient care, such as in rural areas. When considering new medical technology components, we must compensate for age-related changes in perception, cognition and motor skills to achieve user-centered design and take into account psychophysical effect relationships to achieve sustainable acceptance for technology integration. This paper presents various best-practice examples for participatory investigation into influencing factors, with a focus on the different times and periods within the lifecycle of a telemedical product and associated services. In addition to giving concrete design hints derived from individual studies, the paper discusses the strengths and weaknesses of the paradigms used and provides recommendations for user-centric development with old and very old patients.
  • Konferenzbeitrag
    Soft-Biometrics Estimation In the Era of Facial Masks
    (BIOSIG 2020 - Proceedings of the 19th International Conference of the Biometrics Special Interest Group, 2020) Alonso-Fernandez, Fernando; Diaz, Kevin Hernandez; Ramis, Silvia; Perales, Francisco J.; Bigun, Josef
    We analyze the use of images from face parts to estimate soft-biometrics indicators. Partial face occlusion is common in unconstrained scenarios, and it has become mainstream during the COVID-19 pandemic due to the use of masks. Here, we apply existing pre-trained CNN architectures, proposed in the context of the ImageNet Large Scale Visual Recognition Challenge, to the tasks of gender, age, and ethnicity estimation. Experiments are done with 12007 images from the Labeled Faces in the Wild (LFW) database. We show that such off-the-shelf features can effectively estimate soft-biometrics indicators using only the ocular region. For completeness, we also evaluate images showing only the mouth region. In overall terms, the network providing the best accuracy only suffers accuracy drops of 2-4% when using the ocular region, in comparison to using the entire face. Our approach is also shown to outperform in several tasks two commercial off-the-shelf systems (COTS) that employ the whole face, even if we only use the eye or mouth regions.