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Mathias Ciliberto
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2020 – today
- 2023
- [c18]Lin Wang
, Hristijan Gjoreski
Summary of SHL Challenge 2023: Recognizing Locomotion and Transportation Mode from GPS and Motion Sensors. UbiComp/ISWC Adjunct 2023: 575-585 - [c17]Kazuya Murao
11th International Workshop on Human Activity Sensing Corpus and Applications (HASCA). UbiComp/ISWC Adjunct 2023: 773-776 - 2022
- [c16]Kazuya Murao
10th International Workshop on Human Activity Sensing Corpus and Applications (HASCA). UbiComp/ISWC Adjunct 2022: 321-323 - [d3]Hristijan Gjoreski, Mathias Ciliberto, Lin Wang, Francisco Javier Ordóñez Morales, Sami Mekki, Stefan Valentin, Daniel Roggen:
Sussex-Huawei Locomotion and Transportation Dataset. IEEE DataPort, 2022 - 2021
- [j4]Lin Wang
Three-Year Review of the 2018-2020 SHL Challenge on Transportation and Locomotion Mode Recognition From Mobile Sensors. Frontiers Comput. Sci. 3: 713719 (2021) - [j3]Mathias Ciliberto, Vítor Fortes Rey, Alberto Calatroni, Paul Lukowicz, Daniel Roggen
Opportunity++: A Multimodal Dataset for Video- and Wearable, Object and Ambient Sensors-Based Human Activity Recognition. Frontiers Comput. Sci. 3: 792065 (2021) - [c15]Kazuya Murao, Yu Enokibori, Hristijan Gjoreski
9th International Workshop on Human Activity Sensing Corpus and Applications (HASCA). UbiComp/ISWC Adjunct 2021: 281-284 - [c14]Mathias Ciliberto, Luis Alejandro Ponce Cuspinera, Daniel Roggen
Collecting a Dataset of Gestures for Skill Assessment in the Field: a beach volleyball serves case study. UbiComp/ISWC Adjunct 2021: 291-297 - [c13]Lin Wang
Locomotion and Transportation Mode Recognition from GPS and Radio Signals: Summary of SHL Challenge 2021. UbiComp/ISWC Adjunct 2021: 412-422 - [d2]Mathias Ciliberto, Luis Alejandro Ponce Cuspinera, Daniel Roggen:
Wearlab Beach Volleyball Serves and Games. IEEE DataPort, 2021 - [d1]Mathias Ciliberto
Opportunity ++: A Multimodal Dataset for Video- and Wearable, Object and Ambient Sensors-based Human Activity Recognition. IEEE DataPort, 2021 - 2020
- [c12]Kazuya Murao, Yu Enokibori, Hristijan Gjoreski
8th international workshop on human activity sensing corpus and applications (HASCA). UbiComp/ISWC Adjunct 2020: 228-231 - [c11]Lin Wang, Hristijan Gjoreski
Summary of the sussex-huawei locomotion-transportation recognition challenge 2020. UbiComp/ISWC Adjunct 2020: 351-358
2010 – 2019
- 2019
- [j2]Lin Wang
Enabling Reproducible Research in Sensor-Based Transportation Mode Recognition With the Sussex-Huawei Dataset. IEEE Access 7: 10870-10891 (2019) - [c10]Mathias Ciliberto, Daniel Roggen
WLCSSCuda: a CUDA accelerated template matching method for gesture recognition. UbiComp 2019: 32-34 - [c9]Kazuya Murao
7th international workshop on human activity sensing corpus and applications (HASCA). UbiComp/ISWC Adjunct 2019: 671-673 - [c8]Lin Wang, Hristijan Gjoreski
Summary of the Sussex-Huawei locomotion-transportation recognition challenge 2019. UbiComp/ISWC Adjunct 2019: 849-856 - [p2]Mathias Ciliberto, Lin Wang, Daniel Roggen, Rüdiger Zillmer:
Drinking Gesture Recognition from Poorly Annotated Data: A Case Study. Human Activity Sensing 2019: 71-89 - [p1]Lin Wang, Hristijan Gjoreski, Mathias Ciliberto, Sami Mekki, Stefan Valentin, Daniel Roggen:
Benchmark Performance for the Sussex-Huawei Locomotion and Transportation Recognition Challenge 2018. Human Activity Sensing 2019: 153-170 - 2018
- [j1]Hristijan Gjoreski
The University of Sussex-Huawei Locomotion and Transportation Dataset for Multimodal Analytics With Mobile Devices. IEEE Access 6: 42592-42604 (2018) - [c7]Daniel Roggen, Arash Pouryazdan, Mathias Ciliberto:
Poster: BlueSense - Designing an extensible platform for wearable motion sensing, sensor research and IoT applications. EWSN 2018: 177-178 - [c6]Mathias Ciliberto, Luis Ponce Cuspinera, Daniel Roggen:
Demo: Complex human gestures encoding from wearable inertial sensors for activity recognition. EWSN 2018: 193-194 - [c5]Mathias Ciliberto, Lin Wang, Daniel Roggen
A Case Study for Human Gesture Recognition from Poorly Annotated Data. UbiComp/ISWC Adjunct 2018: 1434-1443 - [c4]Lin Wang, Hristijan Gjoreski
Benchmarking the SHL Recognition Challenge with Classical and Deep-Learning Pipelines. UbiComp/ISWC Adjunct 2018: 1626-1635 - 2017
- [c3]Hristijan Gjoreski
A Versatile Annotated Dataset for Multimodal Locomotion Analytics with Mobile Devices. SenSys 2017: 61:1-61:2 - [c2]Mathias Ciliberto, Francisco Javier Ordóñez Morales, Hristijan Gjoreski
High reliability Android application for multidevice multimodal mobile data acquisition and annotation. SenSys 2017: 62:1-62:2 - 2016
- [c1]Mathias Ciliberto, Daniel Roggen
Exploring human activity annotation using a privacy preserving 3D model. UbiComp Adjunct 2016: 803-812
Coauthor Index
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