Development of Wearable Devices for Measurement of Multiple Physiological Variables and Evaluation of Emotions by Fingerprints and Population Hypotheses
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27620%2F21%3A10246944" target="_blank" >RIV/61989100:27620/21:10246944 - isvavai.cz</a>
Výsledek na webu
<a href="http://dx.doi.org/10.5220/0010367801820188" target="_blank" >http://dx.doi.org/10.5220/0010367801820188</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.5220/0010367801820188" target="_blank" >10.5220/0010367801820188</a>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Development of Wearable Devices for Measurement of Multiple Physiological Variables and Evaluation of Emotions by Fingerprints and Population Hypotheses
Popis výsledku v původním jazyce
We live in an age in which technology provides us with constant access to virtual online services. Consumption and production of an immense amount of instant data, which is becoming the basic raw material autonomously processed by artificial intelligence algorithms, open up brave new possibilities and levels of research and its application in many traditional scientific disciplines. Biometrics is one of the disciplines experiencing an unexpected renaissance, owing to the wide availability of cheap sensory technologies connected to the network. We find great untapped potential, especially in devices that allow measuring the body's physiological responses to emotional stimuli, such as heart rate (HR) and electrodermal activity (EDA), also known as galvanic skin response (GSR). Many readily available and professional wearable devices provide digital recordings of these variables. However, each of these technologies suffers from multiple shortcomings. These shortcomings stand in the way of the mass popularization of the technology, which enables, among other things, real-time monitoring and digital recording of the body's physiological reactions to emotional stimuli. In other words, creating big data that can be used for digital, automated reconstruction of certain aspects of emotionality. In our research, we have identified three main social areas where these technologies are of interest: laboratories, professionals working with the human psyche-body-emotionality, and regular users of biofeedback devices such as wearable devices (WD). Each of these groups has specific requirements in terms of the hardware implementation of the technology, and software and measurement methodology open to users. In our emotion laboratory, we have developed a series of comprehensive solutions, Sensetio, based on a thorough analysis of the needs of all three groups of users of biofeedback technologies. We intend to obtain standardized big data sets for further thorough scientific analysis.
Název v anglickém jazyce
Development of Wearable Devices for Measurement of Multiple Physiological Variables and Evaluation of Emotions by Fingerprints and Population Hypotheses
Popis výsledku anglicky
We live in an age in which technology provides us with constant access to virtual online services. Consumption and production of an immense amount of instant data, which is becoming the basic raw material autonomously processed by artificial intelligence algorithms, open up brave new possibilities and levels of research and its application in many traditional scientific disciplines. Biometrics is one of the disciplines experiencing an unexpected renaissance, owing to the wide availability of cheap sensory technologies connected to the network. We find great untapped potential, especially in devices that allow measuring the body's physiological responses to emotional stimuli, such as heart rate (HR) and electrodermal activity (EDA), also known as galvanic skin response (GSR). Many readily available and professional wearable devices provide digital recordings of these variables. However, each of these technologies suffers from multiple shortcomings. These shortcomings stand in the way of the mass popularization of the technology, which enables, among other things, real-time monitoring and digital recording of the body's physiological reactions to emotional stimuli. In other words, creating big data that can be used for digital, automated reconstruction of certain aspects of emotionality. In our research, we have identified three main social areas where these technologies are of interest: laboratories, professionals working with the human psyche-body-emotionality, and regular users of biofeedback devices such as wearable devices (WD). Each of these groups has specific requirements in terms of the hardware implementation of the technology, and software and measurement methodology open to users. In our emotion laboratory, we have developed a series of comprehensive solutions, Sensetio, based on a thorough analysis of the needs of all three groups of users of biofeedback technologies. We intend to obtain standardized big data sets for further thorough scientific analysis.
Klasifikace
Druh
D - Stať ve sborníku
CEP obor
—
OECD FORD obor
50100 - Psychology and cognitive sciences
Návaznosti výsledku
Projekt
<a href="/cs/project/TL01000299" target="_blank" >TL01000299: Vývoj teoreticko-aplikačních rámců pro sociální změnu v realitě transformace průmyslu</a><br>
Návaznosti
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Ostatní
Rok uplatnění
2021
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název statě ve sborníku
BIOSTEC 2021 : Proceedings of the 14th International Joint Conference on Biomedical Engineering Systems and Technologies : online streaming : February 11-13, 2021. Volume 1, Biodevices
ISBN
978-989-758-490-9
ISSN
2184-4305
e-ISSN
—
Počet stran výsledku
9
Strana od-do
180-188
Název nakladatele
SciTePress - Science and Technology Publications
Místo vydání
Setúbal
Místo konání akce
Vídeň
Datum konání akce
11. 2. 2021
Typ akce podle státní příslušnosti
WRD - Celosvětová akce
Kód UT WoS článku
—