Szczegóły publikacji
Opis bibliograficzny
Imperceptible sensor infrastructure for rule-based active safety prevention in the household / P. AUGUSTYNIAK // W: Human-computer systems interaction : backgrounds and applications 4 / eds. Zdzisław S. Hippe, Juliusz L. Kulikowski, Teresa Mroczek. — Cham : Springer International Publishing AG, cop. 2018. — (Advances in Intelligent Systems and Computing ; ISSN 2194-5357 ; vol. 551). — ISBN: 978-3-319-62119-7; e-ISBN: 978-3-319-62120-3. — S. 3–13. — Bibliogr. s. 12–13, Abstr.
Autor
Dane bibliometryczne
| ID BaDAP | 112346 |
|---|---|
| Data dodania do BaDAP | 2018-02-15 |
| Tekst źródłowy | URL |
| DOI | 10.1007/978-3-319-62120-3_1 |
| Rok publikacji | 2018 |
| Typ publikacji | fragment książki |
| Otwarty dostęp |  |
| Wydawca | Springer |
| Czasopismo/seria | Advances in Intelligent Systems and Computing |
Abstract
Aging of population and increasing complexity of domestic equipment justify the growth of scientific interest in surveillance of independent older adults at home. Our proposal focuses on imperceptibility of a sensing network which, besides detection of complex actions, analyses their irregularity and issues control commands to a safety-oriented active environment for living. The investigated design of mixed residential and wearable sensor network includes domestic equipment-embedded usage sensors and accelerometer-fitted footwear with a presence message broadcast. Synchronously detected events contribute to recognizing complex activities of daily living and to building personalized behavioral patterns. A short-or long-time variation of these patterns may be understood as a deterioration of psychophysiological status and, in context of particular device operation error, modifies the home automation algorithms accordingly. An implementation case study supported by results of volunteers-based experiment confirms the correctness of actions recognition and feasibility of the automatic system for user behavior-dependent safety prevention.
