Szczegóły publikacji
Opis bibliograficzny
BandReader - a mobile application for data acquisition from wearable devices in affective computing experiments / Krzysztof KUTT, Grzegorz J. NALEPA, Barbara GIŻYCKA, Paweł JEMIOŁO, Marcin Adamczyk // W: 2018 11th International conference on Human System Interaction (HSI) [Dokument elektroniczny] : July 4–6 2018, Gdańsk : conference proceedings / eds. Adam Bujnowski, Mariusz Kaczmarek, Jacek Rumiński. — Wersja do Windows. — Dane tekstowe. — [Piscataway] : IEEE, 2018. — Dod. USB ISBN 978-1-5386-5023-3. — ISBN: 978-1-5386-5025-7; e-ISBN: 978-1-5386-5024-0. — S. 42–48. — Wymagania systemowe: Adobe Reader. — Bibliogr. s. 47–48, Abstr.
Autorzy (5)
Dane bibliometryczne
| ID BaDAP | 119362 |
|---|---|
| Data dodania do BaDAP | 2019-01-30 |
| Tekst źródłowy | URL |
| DOI | 10.1109/HSI.2018.8431271 |
| Rok publikacji | 2018 |
| Typ publikacji | materiały konferencyjne (aut.) |
| Otwarty dostęp |  |
| Wydawca | Institute of Electrical and Electronics Engineers (IEEE) |
| Konferencja | Human System Interaction 2018 |
Abstract
As technology becomes more ubiquitous and pervasive, special attention should be given to human-computer interaction, especially to the aspect related to the emotional states of the user. However, this approach assumes very specif c mode of data collection and storage. This data is used in the affective computing experiments for human emotion recognition. In the paper we describe a new software solution for mobile devices that allows for data acquisition from wristbands. The application reads physiological signals from wristbands and supports multiple recent devices. In our work we focus on the Heart Rate (HR) and Galvanic Skin Response (GSR) readings. The recorded data is conveniently stored in CSV files, ready for further interpretation. We provide the evaluation of our application with several experiments. The results indicate that the BandReader is a reliable software for data acquisition in affective computing scenarios.