default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDHuman Activity Sensing 2019
- Nobuo Kawaguchi, Nobuhiko Nishio, Daniel Roggen
, Sozo Inoue, Susanna Pirttikangas, Kristof Van Laerhoven:
Human Activity Sensing - Corpus and Applications. Springer 2019, ISBN 978-3-030-13000-8
Modalities and Applications
- Kohei Komukai, Ren Ohmura:
Optimizing of the Number and Placements of Wearable IMUs for Automatic Rehabilitation Recording. 3-15 - Philipp M. Scholl, Kristof Van Laerhoven:
Identifying Sensors via Statistical Analysis of Body-Worn Inertial Sensor Data. 17-28 - Junto Nozaki, Kei Hiroi, Katsuhiko Kaji, Nobuo Kawaguchi:
Compensation Scheme for PDR Using Component-Wise Error Models. 29-46 - Akhil Mathur, Anton Isopoussu, Fahim Kawsar, Robert Smith, Nadia Berthouze, Nicholas D. Lane:
Towards the Design and Evaluation of Robust Audio-Sensing Systems. 47-57 - Shohei Harada, Kazuya Murao, Masahiro Mochizuki, Nobuhiko Nishio:
A Wi-Fi Positioning Method Considering Radio Attenuation of Human Body. 59-68
Data Collection and Corpus Construction
- Mathias Ciliberto, Lin Wang, Daniel Roggen, Rüdiger Zillmer:
Drinking Gesture Recognition from Poorly Annotated Data: A Case Study. 71-89 - Naomi Johnson, Michael D. Jones, Kevin D. Seppi, Lawrence Thatcher:
Understanding How Non-experts Collect and Annotate Activity Data. 91-110 - Philipp M. Scholl, Benjamin Völker, Bernd Becker, Kristof Van Laerhoven:
A Multi-media Exchange Format for Time-Series Dataset Curation. 111-119 - Pekka Siirtola, Heli Koskimäki, Juha Röning:
OpenHAR: A Matlab Toolbox for Easy Access to Publicly Open Human Activity Data Sets - Introduction and Experimental Results. 121-133 - Paula Lago, Shingo Takeda, Tsuyoshi Okita, Sozo Inoue:
MEASURed: Evaluating Sensor-Based Activity Recognition Scenarios by Simulating Accelerometer Measures from Motion Capture. 135-149
SHL: An Activity Recognition Challenge
- Lin Wang, Hristijan Gjoreski, Mathias Ciliberto, Sami Mekki, Stefan Valentin, Daniel Roggen:
Benchmark Performance for the Sussex-Huawei Locomotion and Transportation Recognition Challenge 2018. 153-170 - Aomar Osmani, Massinissa Hamidi:
Bayesian Optimization of Neural Architectures for Human Activity Recognition. 171-195 - Peter Widhalm, Maximilian Leodolter, Norbert Brändle:
Into the Wild - Avoiding Pitfalls in the Evaluation of Travel Activity Classifiers. 197-211 - Michael Sloma, Makan Arastuie, Kevin S. Xu:
Effects of Activity Recognition Window Size and Time Stabilization in the SHL Recognition Challenge. 213-231 - Vito Janko, Martin Gjoreski, Gasper Slapnicar, Miha Mlakar, Nina Resçiç, Jani Bizjak, Vid Drobnic, Matej Marinko, Nejc Mlakar, Matjaz Gams, Mitja Lustrek:
Winning the Sussex-Huawei Locomotion-Transportation Recognition Challenge. 233-250
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
last updated on 2025-11-20 22:14 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
