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2020 – today
- 2021
[b1]Alexander Diete:
Towards multimodal activity recognition in complex scenarios. University of Mannheim, Germany, 2021
2010 – 2019
- 2019
- [j2]Alexander Diete
, Heiner Stuckenschmidt:
Fusing Object Information and Inertial Data for Activity Recognition. Sensors 19(19): 4119 (2019) - [c5]Alexander Diete, Timo Sztyler, Heiner Stuckenschmidt:
Vision and Acceleration Modalities: Partners for Recognizing Complex Activities. PerCom Workshops 2019: 101-106 - 2018
- [j1]Alexander Diete, Timo Sztyler, Heiner Stuckenschmidt:
Exploring Semi-Supervised Methods for Labeling Support in Multimodal Datasets. Sensors 18(8): 2639 (2018) - [c4]Alexander Diete, Timo Sztyler, Lydia Weiland, Heiner Stuckenschmidt:
Improving Motion-based Activity Recognition with Ego-centric Vision. PerCom Workshops 2018: 488-491 - 2017
- [c3]Alexander Diete, Timo Sztyler, Lydia Weiland, Heiner Stuckenschmidt:
Recognizing Grabbing Actions from Inertial and Video Sensor Data in a Warehouse Scenario. FNC/MobiSPC 2017: 16-23 - [c2]Alexander Diete, Timo Sztyler, Heiner Stuckenschmidt:
A smart data annotation tool for multi-sensor activity recognition. PerCom Workshops 2017: 111-116 - 2016
- [c1]Alexander Diete, Lydia Weiland, Timo Sztyler, Heiner Stuckenschmidt:
Exploring a multi-sensor picking process in the future warehouse. UbiComp Adjunct 2016: 1755-1758
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