Zobrazeno 1 - 10
of 189
pro vyhledávání: '"Daniel Roggen"'
Autor:
Lloyd Pellatt, Daniel Roggen
Publikováno v:
Frontiers in Computer Science, Vol 4 (2022)
Neural architecture search (NAS) has the potential to uncover more performant networks for human activity recognition from wearable sensor data. However, a naive evaluation of the search space is computationally expensive. We introduce neural regress
Externí odkaz:
https://doaj.org/article/f0581295114545a9a43cb26aadabab9c
Publikováno v:
Frontiers in Computer Science, Vol 3 (2021)
Externí odkaz:
https://doaj.org/article/b061e8637d1742c492201d9dca660eec
Autor:
Lin Wang, Hristijan Gjoreski, Mathias Ciliberto, Paula Lago, Kazuya Murao, Tsuyoshi Okita, Daniel Roggen
Publikováno v:
Frontiers in Computer Science, Vol 3 (2021)
The Sussex-Huawei Locomotion-Transportation (SHL) Recognition Challenges aim to advance and capture the state-of-the-art in locomotion and transportation mode recognition from smartphone motion (inertial) sensors. The goal of this series of machine l
Externí odkaz:
https://doaj.org/article/9441860d416147ca84f438c95eea7984
Publikováno v:
IEEE Access, Vol 7, Pp 10870-10891 (2019)
Transportation and locomotion mode recognition from multimodal smartphone sensors is useful for providing just-in-time context-aware assistance. However, the field is currently held back by the lack of standardized datasets, recognition tasks, and ev
Externí odkaz:
https://doaj.org/article/3d84f53be3a84022894513692ef7e2cf
Autor:
Hristijan Gjoreski, Mathias Ciliberto, Lin Wang, Francisco Javier Ordonez Morales, Sami Mekki, Stefan Valentin, Daniel Roggen
Publikováno v:
IEEE Access, Vol 6, Pp 42592-42604 (2018)
Scientific advances build on reproducible researches which need publicly available benchmark data sets. The computer vision and speech recognition communities have led the way in establishing benchmark data sets. There are much less data sets availab
Externí odkaz:
https://doaj.org/article/a29d3efe9e7740039f606678713ec1f4
Autor:
Harry J. Witchel, Cäcilia Oberndorfer, Robert Needham, Aoife Healy, Carina E. I. Westling, Joseph H. Guppy, Jake Bush, Jens Barth, Chantal Herberz, Daniel Roggen, Björn M. Eskofier, Waqar Rashid, Nachiappan Chockalingam, Jochen Klucken
Publikováno v:
Frontiers in Neurology, Vol 9 (2018)
Introduction: Inertial sensors generate objective and sensitive metrics of movement disability that may indicate fall risk in many clinical conditions including multiple sclerosis (MS). The Timed-Up-And-Go (TUG) task is used to assess patient mobilit
Externí odkaz:
https://doaj.org/article/9b97a4b88b464f919deeccdef64ba61a
Autor:
Júlio C. Costa, Filippo Spina, Pasindu Lugoda, Leonardo Garcia-Garcia, Daniel Roggen, Niko Münzenrieder
Publikováno v:
Technologies, Vol 7, Iss 2, p 35 (2019)
Flexible sensors have the potential to be seamlessly applied to soft and irregularly shaped surfaces such as the human skin or textile fabrics. This benefits conformability dependant applications including smart tattoos, artificial skins and soft rob
Externí odkaz:
https://doaj.org/article/3c86043aa85747baa3915015d48cec79
Publikováno v:
Sensors, Vol 16, Iss 1, p 115 (2016)
Human activity recognition (HAR) tasks have traditionally been solved using engineered features obtained by heuristic processes. Current research suggests that deep convolutional neural networks are suited to automate feature extraction from raw sens
Externí odkaz:
https://doaj.org/article/fef1ebdff6d04e698ba55f2cc3d41d1e
Publikováno v:
EURASIP Journal on Wireless Communications and Networking, Vol 2011 (2011)
Externí odkaz:
https://doaj.org/article/141fd73ebfcf4931850037840037c87e
Publikováno v:
2023 IEEE International Conference on Pervasive Computing and Communications (PerCom).