Zobrazeno 1 - 10
of 62
pro vyhledávání: '"Elsa Andrea Kirchner"'
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-14 (2024)
Abstract Exoskeleton-based support for patients requires the learning of individual machine-learning models to recognize movement intentions of patients based on the electroencephalogram (EEG). A major issue in EEG-based movement intention recognitio
Externí odkaz:
https://doaj.org/article/0d84d3f840564c27804e26fd4a70c112
Autor:
Andreas Prokscha, Aman Batra, Sabisan Santhakumaran, Julian Fabricius, Elsa Andrea Kirchner, Thomas Kaiser
Publikováno v:
IEEE Access, Vol 12, Pp 107670-107688 (2024)
Non-invasive microwave technologies are emerging in biomedical applications. One of the promising applications is muscular activities detection, where the microwave spectrum of sub-5 GHz is primarily exploited due to large skin penetration depth. How
Externí odkaz:
https://doaj.org/article/6ce44e0e83c44f28970fd50bb903b2df
Autor:
Niklas Kueper, Kartik Chari, Judith Bütefür, Julia Habenicht, Tobias Rossol, Su Kyoung Kim, Marc Tabie, Frank Kirchner, Elsa Andrea Kirchner
Publikováno v:
Frontiers in Human Neuroscience, Vol 18 (2024)
Externí odkaz:
https://doaj.org/article/e4a256c33dd643a787781288a9e2fe12
Autor:
Su Kyoung Kim, Elsa Andrea Kirchner
Publikováno v:
Frontiers in Neurorobotics, Vol 17 (2023)
Robot learning based on implicitly extracted error detections (e.g., EEG-based error detections) has been well-investigated in human-robot interaction (HRI). In particular, the use of error-related potential (ErrP) evoked when recognizing errors is a
Externí odkaz:
https://doaj.org/article/a16218acc971405391c2e8cc40c9038a
Publikováno v:
Frontiers in Neurorobotics, Vol 15 (2021)
Previous research has shown the value of the sense of embodiment, i.e., being able to integrate objects into one's bodily self-representation, and its connection to (assistive) robotics. Especially, tactile interfaces seem essential to integrate assi
Externí odkaz:
https://doaj.org/article/af13820615c747b995a6069ff0652fb6
Publikováno v:
Frontiers in Robotics and AI, Vol 7 (2020)
During human-robot interaction, errors will occur. Hence, understanding the effects of interaction errors and especially the effect of prior knowledge on robot learning performance is relevant to develop appropriate approaches for learning under natu
Externí odkaz:
https://doaj.org/article/beb4e94d986c4f708f50de7bc20f2a82
Autor:
Philipp Beckerle, Risto Kõiva, Elsa Andrea Kirchner, Robin Bekrater-Bodmann, Strahinja Dosen, Oliver Christ, David A. Abbink, Claudio Castellini, Bigna Lenggenhager
Publikováno v:
Frontiers in Neurorobotics, Vol 12 (2018)
The feeling of embodiment, i.e., experiencing the body as belonging to oneself and being able to integrate objects into one's bodily self-representation, is a key aspect of human self-consciousness and has been shown to importantly shape human cognit
Externí odkaz:
https://doaj.org/article/b98590536eba49098e670f70f9702aa3
Autor:
Lisa Gutzeit, Alexander Fabisch, Marc Otto, Jan Hendrik Metzen, Jonas Hansen, Frank Kirchner, Elsa Andrea Kirchner
Publikováno v:
Frontiers in Robotics and AI, Vol 5 (2018)
We describe the BesMan learning platform which allows learning robotic manipulation behavior. It is a stand-alone solution which can be combined with different robotic systems and applications. Behavior that is adaptive to task changes and different
Externí odkaz:
https://doaj.org/article/8e0a6d45bb934793adf231fdf5e1085e
Autor:
Shivesh Kumar, Hendrik Wöhrle, Mathias Trampler, Marc Simnofske, Heiner Peters, Martin Mallwitz, Elsa Andrea Kirchner, Frank Kirchner
Publikováno v:
Applied Sciences, Vol 9, Iss 4, p 626 (2019)
Robot-assisted therapy has become increasingly popular and useful in post-stroke neurorehabilitation. This paper presents an overview of the design and control of the dual-arm Recupera exoskeleton to provide intense therapist-guided as well as self t
Externí odkaz:
https://doaj.org/article/0aed1411b6e24869a08ce741bdddc64d
Publikováno v:
Sensors, Vol 17, Iss 7, p 1552 (2017)
A current trend in the development of assistive devices for rehabilitation, for example exoskeletons or active orthoses, is to utilize physiological data to enhance their functionality and usability, for example by predicting the patient’s upcoming
Externí odkaz:
https://doaj.org/article/18a2aa32a8754ba28ac85bdd71d3c574