Project data
Initiative: | Change of Course – Exploring New Research Territories between the Life Sciences and Science or Engineering |
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Call : | Qualification Concepts |
Allocation: | Mar 4, 2022 |
Period of funding: | 4 Years |
Project information
Human olfaction is a very efficient sensory system. Early on it was recognized that the mere detection of a given set of molecules is not enough for an electronic analogue of human olfaction. An artificial nose requires not only sensation but perception - the interpretation of sensation in light of experience. This can be achieved by using large empirical datasets of human perception and methods of artificial intelligence. A breakthrough of perceptive electronics (perceptronics) can only happen in a concerted effort of science, engineering and medicine which stringently builds on recent advances in each discipline. The olfactorial perceptronics group will work in this spirit as an interdisciplinary team and establish four linked research topics in (nano) sensorics, olfaction, perception and machine learning. The final goal is to advance the digitization of olfaction towards a yet unseen technology.
Project participants
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Prof. Dr. Gianaurelio Cuniberti
Technische Universität Dresden
Fakultät Maschinenwesen
Institut für Werkstoffwissenschaft und Nanotechnik
Lehrstuhl für Materialwissenschaft und Nanotechnik
Max Bergmann Zentrum
Dresden
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Prof. Dr. Ilona Croy
Universität Jena
Institut für Psychologie
Abteilung Klinische Psychologie
Jena
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Prof. Dr. Thomas Hummel
Universitätsklinikum Carl Gustav Carus
an der Technischen Universität Dresden
HNO
Klinik und Poliklinik für Hals-, Nasen- und
Ohrenheilkunde
Funktionsbereich Riechen und Schmecken
Dresden
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Dr. Alexander Croy
Universität Jena
Chemisch-Geowissenschaftliche Fakultät
Institut für Physikalische Chemie
Jena
Open Access Publications
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Recent advances in technologies toward the development of 2D materials-based electronic noses
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Subjective Perception of Recovery and Measured Olfactory Function in COVID-19 Patients
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Exploring brain functional connectivity in patients with taste loss: a pilot study
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A parosmia severity index based on word classification predicts olfactory abilities and impairment