Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Fernando Moya Rueda"'
Autor:
Friedrich Niemann, Christopher Reining, Fernando Moya Rueda, Nilah Ravi Nair, Janine Anika Steffens, Gernot A. Fink, Michael ten Hompel
Publikováno v:
Sensors, Vol 20, Iss 15, p 4083 (2020)
Optimizations in logistics require recognition and analysis of human activities. The potential of sensor-based human activity recognition (HAR) in logistics is not yet well explored. Despite a significant increase in HAR datasets in the past twenty y
Externí odkaz:
https://doaj.org/article/4cbc4dd0499a419f900787c6e5306d5b
Autor:
Christopher Reining, Friedrich Niemann, Fernando Moya Rueda, Gernot A. Fink, Michael ten Hompel
Publikováno v:
Information, Vol 10, Iss 8, p 245 (2019)
This contribution provides a systematic literature review of Human Activity Recognition for Production and Logistics. An initial list of 1243 publications that complies with predefined Inclusion Criteria was surveyed by three reviewers. Fifty-two pub
Externí odkaz:
https://doaj.org/article/e88d3b27c8a249488c153e9a8868325c
Publikováno v:
Informatics, Vol 5, Iss 2, p 26 (2018)
Human activity recognition (HAR) is a classification task for recognizing human movements. Methods of HAR are of great interest as they have become tools for measuring occurrences and durations of human actions, which are the basis of smart assistive
Externí odkaz:
https://doaj.org/article/87208843905d4934bf5997492aaadac5
Publikováno v:
2022 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops).
Autor:
Erik Altermann, Hulya Avsar, Christopher Reining, Fernando Moya Rueda, Gernot A. Fink, Michael ten Hompel
Publikováno v:
PerCom Workshops
This contribution evaluates semi-automated annotation for generating high-quality data for multi-channel time series Human Activity Recognition. For this purpose, time series data that consists of Optical Motion Capturing and inertial measurements fr
Autor:
Fernando Moya Rueda, Gernot A. Fink
Publikováno v:
ICPR
Human Activity Recognition (HAR), using inertial measurements from on-body devices, has not seen a great advantage from deep architectures. This drawback is mainly due to the lack of annotated data, diversity of on-body device configurations, the cla
Autor:
Gernot A. Fink, Fernando Moya Rueda, Nilah Ravi Nair, Janine Anika Steffens, Friedrich Niemann, Christopher Reining, Michael ten Hompel
Publikováno v:
Sensors
Volume 20
Issue 15
Sensors (Basel, Switzerland)
Sensors, Vol 20, Iss 4083, p 4083 (2020)
Volume 20
Issue 15
Sensors (Basel, Switzerland)
Sensors, Vol 20, Iss 4083, p 4083 (2020)
Optimizations in logistics require recognition and analysis of human activities. The potential of sensor-based human activity recognition (HAR) in logistics is not yet well explored. Despite a significant increase in HAR datasets in the past twenty y
Autor:
Michael ten Hompel, Gernot A. Fink, Fernando Moya Rueda, Friedrich Niemann, Christopher Reining
Publikováno v:
PerCom Workshops
This contribution proposes an approach for annotating human actions and their coarse semantic descriptions for multichannel time-series. For this purpose, a new dataset that consists of Optical Motion Capturing and IMU time-series data for industrial
Autor:
Thomas Kirste, Max Schröder, Gernot A. Fink, Fernando Moya Rueda, Stefan Lüdtke, Kristina Yordanova
Publikováno v:
PerCom Workshops
Activity recognition (AR) plays an important role in situation aware systems. Recently, deep learning approaches have shown promising results in the field of AR. However, their predictions are overconfident even in cases when the action class is inco
Publikováno v:
FedCSIS
Data creation for Human Activity Recognition (HAR) requires an immense human effort and contextual knowledge for manual annotation. This paper proposes a framework for semi-automated annotation of sequential data in the order picking process using a