Connan, Mathilde und Yu, Bingbin und Gibas, Christian und Rainer, Brück und Kirchner, Elsa Andrea und Castellini, Claudio (2022) Deep and Surface Sensor Modalities for Myo-intent Detection. In: MEC - Myoelectric Controls and Upper Limb Prosthetics Symposium, Seiten 103-106. MEC - Myoelectric Controls and Upper Limb Prosthetics Symposium, 2022-08-09 - 2022-08-11, Fredericton, Canada.
PDF
286kB |
Offizielle URL: https://www.unb.ca/ibme/_assets/documents/mec22proceedings2.pdf
Kurzfassung
Electromyography is the gold-standard among sensors for prosthetic control. However, stable and reliable myocontrol remains an unsolved problem in the community. Amid improvements currently under investigation, one focuses on alternative or complementary sensors. In this study, we compare different techniques, recording surface and deep muscle activity. Ten subjects were involved in an experiment in which three different modalities were attached on their forearm: force myography, electro-impedance tomography and ultrasound. They were asked to perform wrist and grasp movements. For the first time, we evaluate and compare in an offline analysis these three different modalities while recording several hand gestures.
elib-URL des Eintrags: | https://elib.dlr.de/191142/ | ||||||||||||||||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Dokumentart: | Konferenzbeitrag (Vortrag) | ||||||||||||||||||||||||||||
Titel: | Deep and Surface Sensor Modalities for Myo-intent Detection | ||||||||||||||||||||||||||||
Autoren: |
| ||||||||||||||||||||||||||||
Datum: | Juli 2022 | ||||||||||||||||||||||||||||
Erschienen in: | MEC - Myoelectric Controls and Upper Limb Prosthetics Symposium | ||||||||||||||||||||||||||||
Referierte Publikation: | Ja | ||||||||||||||||||||||||||||
Open Access: | Ja | ||||||||||||||||||||||||||||
Gold Open Access: | Nein | ||||||||||||||||||||||||||||
In SCOPUS: | Nein | ||||||||||||||||||||||||||||
In ISI Web of Science: | Nein | ||||||||||||||||||||||||||||
Seitenbereich: | Seiten 103-106 | ||||||||||||||||||||||||||||
Status: | veröffentlicht | ||||||||||||||||||||||||||||
Stichwörter: | sensor, multimodal, myography, sensor modalities, myo-intent detection, myocontrol, force myography, FMG, ultrasound, electro-impedance tomography, electrical impedance tomography, EIT, comparison, features | ||||||||||||||||||||||||||||
Veranstaltungstitel: | MEC - Myoelectric Controls and Upper Limb Prosthetics Symposium | ||||||||||||||||||||||||||||
Veranstaltungsort: | Fredericton, Canada | ||||||||||||||||||||||||||||
Veranstaltungsart: | internationale Konferenz | ||||||||||||||||||||||||||||
Veranstaltungsbeginn: | 9 August 2022 | ||||||||||||||||||||||||||||
Veranstaltungsende: | 11 August 2022 | ||||||||||||||||||||||||||||
HGF - Forschungsbereich: | Luftfahrt, Raumfahrt und Verkehr | ||||||||||||||||||||||||||||
HGF - Programm: | Raumfahrt | ||||||||||||||||||||||||||||
HGF - Programmthema: | Robotik | ||||||||||||||||||||||||||||
DLR - Schwerpunkt: | Raumfahrt | ||||||||||||||||||||||||||||
DLR - Forschungsgebiet: | R RO - Robotik | ||||||||||||||||||||||||||||
DLR - Teilgebiet (Projekt, Vorhaben): | R - Intelligente Mobilität (RM) [RO] | ||||||||||||||||||||||||||||
Standort: | Oberpfaffenhofen | ||||||||||||||||||||||||||||
Institute & Einrichtungen: | Institut für Robotik und Mechatronik (ab 2013) > Kognitive Robotik | ||||||||||||||||||||||||||||
Hinterlegt von: | Connan, Mathilde | ||||||||||||||||||||||||||||
Hinterlegt am: | 02 Dez 2022 18:03 | ||||||||||||||||||||||||||||
Letzte Änderung: | 24 Apr 2024 20:52 |
Nur für Mitarbeiter des Archivs: Kontrollseite des Eintrags