@inproceedings{MayeMaaserHerzel, author = {Maye, Oliver and Maaser, Michael and Herzel, F.}, title = {Various Implementations of a Heading Module for an Optical Positioning System}, language = {en} } @inproceedings{MayeSchaeffnerMaaser, author = {Maye, Oliver and Sch{\"a}ffner, J. and Maaser, Michael}, title = {An Optical Indoor Positioning System for the Mass Market}, language = {en} } @misc{MayeMaaserSchaeffner, author = {Maye, Oliver and Maaser, Michael and Sch{\"a}ffner, J.}, title = {Optischer Translations-Rotations-Sensor}, language = {de} } @misc{MayeMaaserSchaeffner, author = {Maye, Oliver and Maaser, Michael and Sch{\"a}ffner, J.}, title = {Stromloser Stand-By}, language = {de} } @article{LangendoerferMayeDykaetal., author = {Langend{\"o}rfer, Peter and Maye, Oliver and Dyka, Zoya and Sorge, R. and Winkler, R. and Kraemer, Rolf}, title = {Plasma - A Middleware for Location-Based Services: Design, Implementations and Lessons Learned}, language = {en} } @techreport{DeistMaye, author = {Deist, C. and Maye, Oliver}, title = {Verbundprojekt Wireless Internet-Zellular}, language = {de} } @inproceedings{Maye, author = {Maye, Oliver}, title = {An Efficient Strategy of Processing Distributed Location Based Events}, language = {en} } @techreport{DykaVaterMayeetal., author = {Dyka, Zoya and Vater, Frank and Maye, Oliver and Langend{\"o}rfer, Peter and Kraemer, Rolf}, title = {Efficient Implementations of Cryptographic Routines - A Review and Performance Analysis of Various Approaches}, language = {en} } @article{PiotrowskiLangendoerferMayeetal., author = {Piotrowski, Krzysztof and Langend{\"o}rfer, Peter and Maye, Oliver and Dyka, Zoya}, title = {Protecting Privacy in E-Cash Schemes by Securing Hidden Identity Approaches against Stochastic Attacks}, language = {en} } @techreport{OrtmannMaaserMaye, author = {Ortmann, Steffen and Maaser, Michael and Maye, Oliver}, title = {Spezifikation der Middleware Architektur}, language = {de} } @misc{HaddadiEsfahaniMayeFrohbergetal., author = {Haddadi Esfahani, Ali and Maye, Oliver and Frohberg, Max and Speh, Maria and J{\"o}bges, Michael and Langend{\"o}rfer, Peter}, title = {Machine Learning based Real Time Detection of Freezing of Gait of Parkinson Patients Running on a Body Worn Device}, series = {IEEE/ACM international conference on Connected Health: Applications, Systems and Engineering Technologies (CHASE 2023), 181 (2023)}, journal = {IEEE/ACM international conference on Connected Health: Applications, Systems and Engineering Technologies (CHASE 2023), 181 (2023)}, isbn = {979-8-4007-0102-3}, issn = {2832-2975}, doi = {10.1145/3580252.3589423}, pages = {181 -- 182}, abstract = {For those who have Parkinson's disease, one of the most incapacitating symptoms is Freezing of Gait (FOG). Gait impairment and disruptions limit everyday activities and reduce quality of daily life along with the increase in the risk of falling [1]. Thanks to recent advancement in embedded electronics and sensors as well as their adaptation in the wearable device market, low power devices are becoming more and more capable running neural networks. This enables researchers to implement complex models on wearable devices that capture and analyze sensor data to detect FOGin real-time.}, language = {en} } @misc{HaddadiEsfahaniMayeFrohbergetal., author = {Haddadi Esfahani, Ali and Maye, Oliver and Frohberg, Max and Langend{\"o}rfer, Peter}, title = {Minimizing the latency of freezing of gait detection on wearable devices}, series = {Vortr{\"a}ge : iCCC2024 - iCampµs Cottbus Conference 2024-05-14 - 2024-05-16 Cottbus}, journal = {Vortr{\"a}ge : iCCC2024 - iCampµs Cottbus Conference 2024-05-14 - 2024-05-16 Cottbus}, publisher = {AMA Service GmbH}, address = {Von-M{\"u}nchhausen-Str. 49, 31515 Wunstorf, Germany}, doi = {10.5162/iCCC2024/2.2}, pages = {49 -- 52}, language = {en} } @misc{EsfahaniMayeFrohbergetal., author = {Esfahani, Ali Haddadi and Maye, Oliver and Frohberg, Max and Speh, Maria and J{\"o}bges, Micheal and Langend{\"o}rfer, Peter}, title = {Real time detection of Freezing of Gait of Parkinson patients based on machine learning running on a body worn device}, series = {Procedia Computer Science}, volume = {239}, journal = {Procedia Computer Science}, publisher = {Elsevier BV}, issn = {1877-0509}, doi = {10.1016/j.procs.2024.06.160}, pages = {177 -- 184}, language = {en} }