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Intent Detection and Feedback (IDF)5 ECTS (englische Bezeichnung: Intent Detection and Feedback)
(Prüfungsordnungsmodul: Intent Detection and Feedback)
Modulverantwortliche/r: Claudio Castellini Lehrende:
Claudio Castellini, Fabio Andre Egle
Startsemester: |
SS 2022 | Dauer: |
1 Semester | Turnus: |
jährlich (SS) |
Präsenzzeit: |
60 Std. | Eigenstudium: |
90 Std. | Sprache: |
Englisch |
Lehrveranstaltungen:
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Intent Detection and Feedback (L)
(Vorlesung, 2 SWS, Claudio Castellini, Do, 14:15 - 15:45, K2-119)
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Intent Detection and Feedback (E)
(Übung, 2 SWS, Fabio Andre Egle, Fr, 10:15 - 11:45, K2-119)
Empfohlene Voraussetzungen:
Recommended: basic maths, especially statistics; fundamentals of signal processing and machine learning; mid-level programming Python, C# or similar; fundamentals of experimental psychology
Inhalt:
- Introduction to the problems of intent detection and somatosensory feedback: motivation, taxonomy, historical background.
Intent detection: theory and philosophical issues; defining the problem and the ground truth; success metrics; signals for intent detection; sensors for intent detection; feature extraction; applications of machine learning to the problem.
Somatosensory feedback: theory and physiology; sensory substitution; embodiment and agency induced by it; modalities of actuation; practical issues and metrics of performance.
Intent detection and somatosensory feedback in prosthetics: usefulness, success and challenges.
Intent detection and somatosensory feedback in rehabilitation and exoskeletons: usefulness, success and challenges.
Intent detection and somatosensory feedback in gaming and non-reha fields.
Lernziele und Kompetenzen:
Students who have followed the module
have a broad understanding of intent detection and somatosensory feedback, especially in the frame of Rehabilitation and Assistive Robotics
can conceive and design a research project in the related subfield of the subject
have knowledge about the clinical and industrial situation of intent detection and feedback, especially including the problems and challenges of each technique and method
can tackle previously unknown problems
Literatur:
- [2010] Control of Hand Prostheses Using Peripheral Information, S. Micera, J. Carpaneto and S. Raspopović.
[2012] Control of Upper Limb Prostheses: Terminology and Proportional Myoelectric Control—A Review, A. Fougner, Ø. Stavdahl, P. J. Kyberd, Y. G. Losier and P. A. Parker.
[2015] Michael R Tucker et al., Control strategies for active lower extremity prosthetics and orthotics: a review, JNER 12:1
[2015] A survey of sensor fusion methods in wearable robotics, D. Novak and R. Riener
[2016] Incremental Learning of Muscle Synergies: From Calibration to Interaction, C. Castellini.
[2018] JA Spanias, AM Simon, SB Finucane, EJ Perreault and LJ Hargrove, Online adaptive neural control of a robotic lower limb prosthesis, J Neural Eng. 15(1)
[2020] Jacob Rosen and Peter Walker Ferguson (eds.), Wearable Robotics – Systems and Applications, Academic Press Elsevier
[2021] Michele Xiloyannis, Ryan Alicea, Anna-Maria Georgarakis, Florian L. Haufe, Peter Wolf, Lorenzo Masia and Robert Riener, Soft robotic suits: State of the art, core technologies and open challenges, IEEE Transactions on Robotics
Verwendbarkeit des Moduls / Einpassung in den Musterstudienplan:
- Informatik (Master of Science)
(Po-Vers. 2010 | TechFak | Informatik (Master of Science) | Gesamtkonto | Nebenfach | Nebenfach Artificial Intelligence in Biomedical Engineering | Intent Detection and Feedback)
Dieses Modul ist daneben auch in den Studienfächern "Artificial Intelligence (Master of Science)", "Medizintechnik (Master of Science)" verwendbar. Details
Studien-/Prüfungsleistungen:
Intent Detection and Feedback (Prüfungsnummer: 76161)
(englischer Titel: Intent Detection and Feedback)
- Prüfungsleistung, Klausur, Dauer (in Minuten): 60, benotet, 5 ECTS
- Anteil an der Berechnung der Modulnote: 100.0 %
- Prüfungssprache: Englisch
- Erstablegung: SS 2022, 1. Wdh.: WS 2022/2023
1. Prüfer: | Claudio Castellini |
- Termin: 02.08.2022
Termin: 02.08.2022
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