Zobrazeno 1 - 10
of 11
pro vyhledávání: '"Jan P. Vox"'
Autor:
Jan P. Vox, Anika Weber, Karen Insa Wolf, Krzysztof Izdebski, Thomas Schüler, Peter König, Frank Wallhoff, Daniel Friemert
Publikováno v:
Sensors, Vol 21, Iss 9, p 3145 (2021)
The reproduction and simulation of workplaces, and the analysis of body postures during work processes, are parts of ergonomic risk assessments. A commercial virtual reality (VR) system offers the possibility to model complex work scenarios as virtua
Externí odkaz:
https://doaj.org/article/e1f1364400d3483ba71d0d07c0fa53ab
Publikováno v:
Sensors, Vol 24, Iss 11, p 3548 (2024)
Vital sign monitoring is dominated by precise but costly contact-based sensors. Contactless devices such as radars provide a promising alternative. In this article, the effects of lateral radar positions on breathing and heartbeat extraction are eval
Externí odkaz:
https://doaj.org/article/fb5f462e08f84097962a940b05a7a971
Autor:
Karen Insa Wolf, Peter König, Daniel Friemert, Krzysztof Izdebski, Anika Weber, Thomas Schüler, Frank Wallhoff, Jan P. Vox
Publikováno v:
Sensors (Basel, Switzerland)
Sensors
Volume 21
Issue 9
Sensors, Vol 21, Iss 3145, p 3145 (2021)
Sensors
Volume 21
Issue 9
Sensors, Vol 21, Iss 3145, p 3145 (2021)
The reproduction and simulation of workplaces, and the analysis of body postures during work processes, are parts of ergonomic risk assessments. A commercial virtual reality (VR) system offers the possibility to model complex work scenarios as virtua
Autor:
Jan P. Vox, Frank Wallhoff
Publikováno v:
IRI
In this work, a feedback system for biomechanical load analysis based on joint angles and execution duration of recognized motions is described. For automatic analysis, the system must be set up by experts for the respective application case. The sys
Publikováno v:
Gesundheit digital ISBN: 9783662576106
Ausgehend davon, dass aufgrund der demographischen Entwicklung Betreuung und Pflege durch Menschenhand nur sehr schwer gewahrleistet werden kann oder hilfebedurftige Personen technische Hilfsmittel bevorzugen, hat das Anwendungsfeld Assistenz- und Se
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1691a164b02bf46efb74b46e794e56ba
https://doi.org/10.1007/978-3-662-57611-3_7
https://doi.org/10.1007/978-3-662-57611-3_7
Autor:
Jan P. Vox, Frank Wallhoff
Publikováno v:
2018 IEEE Life Sciences Conference (LSC).
One key task for motion recognition using machine learning algorithms is the preprocessing of the input data. In this work 3D-skeleton-data is used to classify 19 motion exercises. Due to different body shapes and deviations in the movements from dif
Autor:
Jan P. Vox, Frank Wallhoff
Publikováno v:
IEEE Conf. on Intelligent Systems
This work addresses the recognition of gymnastic human motion exercises. For the classification, Neural Networks (NN) and Support Vector Machines (SVM) are being used. They show similar accuracy results for 20 different motion exercises. The algorith
Autor:
Mattes Ohlenbusch, Jannik Flessner, Melina Frenken, Niklas F. H. Bartner, Sarah Voge, Jan P. Vox, Frank Wallhoff
Publikováno v:
MMAR
In this work, an implementation of a building automation system extendable in a dialog with a robot counterpart is designed and evaluated. The system enables its users to integrate new building automation devices into an existing configuration and co
Autor:
Frank Wallhoff, Jan P. Vox
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030041908
SGAI Conf.
SGAI Conf.
This work addresses the recognition of human motion exercises using 3D-skeleton-data and Neural Networks (NN). The examined dataset contains 16 gymnastic motion exercises (e.g. squats, lunges) executed from 21 subjects and captured with the second ve
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::514312d531d5e07753f0816638cf182f
https://doi.org/10.1007/978-3-030-04191-5_19
https://doi.org/10.1007/978-3-030-04191-5_19
Autor:
Jan P. Vox, Frank Wallhoff
Publikováno v:
2017 IEEE Life Sciences Conference (LSC).
This work addresses the recognition of 19 gymnastic motion exercises for a training assistant. The system captures skeleton data in form of 3 dimensional body positions with the Microsoft™ Kinect v2. In the preprocessing phase, the 3 dimensional po