TU Darmstadt / ULB / TUbiblio

Continuous locomotion mode recognition and gait phase estimation based on a shank-mounted IMU with artificial neural networks

Weigand, Florian ; Höhl, Andreas ; Zeiss, Julian ; Konigorski, Ulrich ; Grimmer, Martin (2022)
Continuous locomotion mode recognition and gait phase estimation based on a shank-mounted IMU with artificial neural networks.
2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2022). Kyoto, Japan (23.-27.10.2022)
doi: 10.1109/IROS47612.2022.9981154
Conference or Workshop Item, Bibliographie

Item Type: Conference or Workshop Item
Erschienen: 2022
Creators: Weigand, Florian ; Höhl, Andreas ; Zeiss, Julian ; Konigorski, Ulrich ; Grimmer, Martin
Type of entry: Bibliographie
Title: Continuous locomotion mode recognition and gait phase estimation based on a shank-mounted IMU with artificial neural networks
Language: English
Date: 26 December 2022
Publisher: IEEE
Book Title: Proceedings 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
Event Title: 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2022)
Event Location: Kyoto, Japan
Event Dates: 23.-27.10.2022
DOI: 10.1109/IROS47612.2022.9981154
Divisions: 18 Department of Electrical Engineering and Information Technology
18 Department of Electrical Engineering and Information Technology > Institut für Automatisierungstechnik und Mechatronik
18 Department of Electrical Engineering and Information Technology > Institut für Automatisierungstechnik und Mechatronik > Control Systems and Mechatronics
Date Deposited: 03 Jan 2023 09:42
Last Modified: 03 Jan 2023 09:42
PPN:
Export:
Suche nach Titel in: TUfind oder in Google
Send an inquiry Send an inquiry

Options (only for editors)
Show editorial Details Show editorial Details