Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Frederik Riedel"'
Publikováno v:
PsyArXiv
Übermäßige Smartphone-Nutzung kann negative Effekte auf die physische und mentale Gesundheit haben. Dabei kommt es allerdings darauf an, ob die Nutzung automatisch oder geplant und bewusst ist. Die App one sec interveniert beim Öffnen von Smartph
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::af518611374d11cedc9b3b409ee5ca6f
https://hdl.handle.net/21.11116/0000-000C-F88A-121.11116/0000-000C-F88C-F
https://hdl.handle.net/21.11116/0000-000C-F88A-121.11116/0000-000C-F88C-F
Over 6 billion individuals have a smartphone and most of them use it multiple times every day. Research has found various associations of smartphone use with a range of physical, psychological and performance dimensions. It seems that negative relati
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0e856a5e8fbd7e859c048b5fd7d1c3c7
https://doi.org/10.31234/osf.io/nwuar
https://doi.org/10.31234/osf.io/nwuar
Context: System Theoretic Process Analysis for Privacy (STPA-Priv) is a novel privacy risk elicitation method using a top down approach. It has not gotten very much attention but may offer a convenient structured approach and generation of additional
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::58f4489777425752f270d8d062febe98
Autor:
Frederik Riedel, Jürgen Geiser
Publikováno v:
AIP Conference Proceedings.
We apply modified explicit and implicit integrators for electro-magnetic particle-in-cell (EMPIC) methods. The ideas are based on modified Boris integrators and cyclic integrators. The integrators are an important part of the EMPIC methods and it is
Autor:
Larissa Laich, Benedikt Lorch, Ludwig Winkler, Bjoern M. Eskofier, Lea Schroeder, Patrick Mullan, Cristian Pasluosta, Heike Leutheuser, Christoph Luckner, Christoph M. Kanzler, Robert Richer, Frederik Riedel
Publikováno v:
EMBC
Photoplethysmography (PPG) is a non-invasive, inexpensive and unobtrusive method to achieve heart rate monitoring during physical exercises. Motion artifacts during exercise challenge the heart rate estimation from wrist-type PPG signals. This paper