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But we have some results in other catalogs.Search results for: SMART CHAIR, BIOSIGNALS, AMBIENT ASSISTED LIVING
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Agnieszka Landowska dr hab. inż.
PeopleAgnieszka Landowska works for Gdansk University of Technology, FETI, Department of Software Engineering. Her research concentrates on usability, accessibility and technology adoption, as well as affective computing methods. She initiated Emotions in HCI Research Group and conducts resarch on User eXperiene evaluation of applications and other technologies.
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Mariusz Kaczmarek dr hab. inż.
PeopleReceived M.Sc., Eng. in Electronics in 1995 from Gdansk University of Technology, Ph.D. in Medical Electronics in 2003 and habilitation in Biocybernetics and Biomedical Engineering in 2017. He was an investigator in about 13 projects receiving a number of awards, including four best papers, practical innovations (7 medals and awards) and also the Andronicos G. Kantsios Award and Siemens Award. Main research activities: the issues...
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Respiratory signals derived from capacitive electrocardiogram on the smart chair
PublicationCapacitive electrocardiogram (CECG) tends to deliver basic cardiac signals without need to use traditional glued electrodes. In the paper analysis of possibility if the ECG derived respiratory waveforms out of the CECG.
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Electrical Propterties of Solution Mixtures for Bath Supervision in Ambient Assisted Living
PublicationImpedance properties of bath solution are compared. Any ingredient such as soap, shampoo or bathing salt changes bath-solution’s electrical properties eg. impedance. We have measured and analysed influence of typical bathing ingredients on electrical properties of the solution. We investigate impedance changes over frequency range from 100Hz tu 100kHz as it is most applicable for person detection. Electrical properties of bath...
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Assessment of cardiovascular risk in assisted living
PublicationWady i choroby układu krążenia są jedną z podstawowych przyczyn problemów zdrowotnych oraz przyczyn śmierci. Wczesne ich wykrycie jest szczególnie cenne jako, że może zapobiec przez poważnymi incydentami (np. zawał, udar, itp.). W artykule przedstawiono nasobny system pomiarowy integrujący wiele pomiarów przydatnych do oceny problemów kardiologicznych.Disorders of the heart and blood vessels are the leading cause of health problems...
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Jerzy Wtorek prof. dr hab. inż.
PeopleJerzy Wtorek received the M.Sc., the Ph.D. and the D.Sc. degrees in electronics from Gdańsk University of Technology, Gdańsk, Poland, in 1976, 1986, and 2004, respectively. He has been with Electronics, Telecommunication and Informatics Faculty, Gdańsk University of Technology since 1977. He is currently an Associate Professor at Biomedical Engineering Department. His research interests include the developing of noninvasive methods...
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Journal of Ambient Intelligence and Smart Environments
Journals -
Optical sensor of a person sitting on a chair and dressed in multi-layered clothes vital signs monitoring
PublicationAn optoelectronic device enhancing a smart chair functionality is presented in the paper. Its essential purpose is a detection of a sitting person presence on the chair by means of detecting the vital signs. Additionally, it could be used for determining of clothes layer parameters useful in adjusting a system of a capacitive electrocardiography.
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Data from the survey on motivation to study abroad and criteria for choosing a place to study for foreign graduates of Gdańsk University of Technology
Open Research DataThe dataset includes data from the survey on the Gdańsk University of Technology foreign graduates’ on motivation to study abroad and criteria for choosing a place to study. The research was conducted over a four-month period, from December 2019 to March 2020, using the Computer-Assisted Web Interview (CAWI). The research sample included 142 respondents....
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Sensors integration in the smart home environment - a proposal to solve the problem with user identification
PublicationIn this preliminary study we, investigate the possibility of user recognition techniques suitable on smart home devices like chairs, beds, aiming for low–power, high accuracy and quick response time. We propose the two well know technique: voice speaker recognition and accelerometer signal from device mounted on the chair, and the third one optical system basing on IR LED transmitter/receiver circuit. The preliminary results proved...