The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
A Human--Exoskeleton Interface Utilizing Electromyography
Abstract
This paper presents a human--machine interface to control exoskeletons that utilizes electrical signals from the muscles of the operator as the main means of information transportation. These signals are recorded with electrodes attached to the skin on top of selected muscles and reflect the activation of the observed muscle. They are evaluated by a sophisticated but simplified biomechanical model of the human body to derive the desired action of the operator. A support action is computed in accordance to the desired action and is executed by the exoskeleton. The biomechanical model fuses results from different biomechanical and biomedical research groups and performs a sensible simplification considering the intended application. Some of the model parameters reflect properties of the individual human operator and his or her current body state. A calibration algorithm for these parameters is presented that relies exclusively on sensors mounted on the exoskeleton. An exoskeleton for knee joint support was designed and constructed to verify the model and to investigate the interaction between operator and machine in experiments with force support during everyday movements.
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Cites
The variation in isometric tension with sarcomere length in vertebrate muscle fibres
Gordon, A. M., Huxley, A. F., & Julian, F. J. (1966) · The Journal of Physiology · doi:10.1113/jphysiol.1966.sp007909 · Cited by 3,152
Development and Control of a ‘Soft-Actuated’ Exoskeleton for Use in Physiotherapy and Training
Tsagarakis, N. G., & Caldwell, D. G. (2003) · Autonomous Robots · doi:10.1023/a:1024484615192 · Cited by 335
Cited by
Control strategies for active lower extremity prosthetics and orthotics: a review
Tucker, M. R., Olivier, J., Pagel, A., Bleuler, H., Bouri, M., Lambercy, O., Millán, J. D. R., Riener, R., Vallery, H., & Gassert, R. (2015) · Journal of NeuroEngineering and Rehabilitation · doi:10.1186/1743-0003-12-1 · Cited by 1,047
“Additional considerations are the performance limitations and saturation effects of the actuator and power source [14,60,170].”
InfluentialWearable sensor-based real-time gait detection: A systematic review
Prasanth, H., Caban, M., Keller, U., Courtine, G., Ijspeert, A., Vallery, H., & von Zitzewitz, J. (2021) · Sensors · doi:10.3390/s21082727 · Cited by 348
Dynamic movement primitives in robotics: A tutorial survey
Saveriano, M., Abu-Dakka, F. J., Kramberger, A., & Peternel, L. (2023) · The International Journal of Robotics Research · doi:10.1177/02783649231201196 · Cited by 267
A survey of sensor fusion methods in wearable robotics
Novak, D., & Riener, R. (2015) · Robotics and Autonomous Systems · doi:10.1016/j.robot.2014.08.012 · Cited by 252
Sartori, M., Durandau, G., Došen, S., & Farina, D. (2018) · Journal of Neural Engineering · doi:10.1088/1741-2552/aae26b · Cited by 148
Metadata
- Authors
- Fleischer, C., & Hommel, G.
- Venue
- IEEE Transactions on Robotics
- Published
- 2008-08
- Volume
- 24
- Issue
- 4
- Pages
- 872-882
- ISSN
- 1552-3098 (ISSN-L)
- 1941-0468
- OpenAlex
- W2162438232
- Cited by
- 412
- References
- 2
- FWCI
- 6.61
- Type
- journal article
- Language
- en
- Open access
- closed
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- Fleischer, C., & Hommel, G. (2008). A Human--Exoskeleton Interface Utilizing Electromyography. IEEE Transactions on Robotics. https://doi.org/10.1109/tro.2008.926860
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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