The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
On the Shared Control of an EMG-Controlled Prosthetic Hand: Analysis of User–Prosthesis Interaction
Abstract
An anthropomorphic underactuated prosthetic hand, endowed with position and force sensors and controlled by means of myoelectric commands, is used to perform experiments of hierarchical shared control. Three different hierarchical control strategies combined with a vibrotactile feedback system have been developed and tested by able-bodied subjects through grasping tasks used in activities of daily living (ADLs). The first goal is to find a good tradeoff between good grasping capabilities and low attention required by the user to complete grasping tasks, without addressing advanced algorithm for electromyographic processing. The second goal is to understand whether a vibrotactile feedback system is subjectively or objectively useful and how it changes users' performance. Experiments showed that users were able to successfully operate the device in the three control strategies, and that the grasp success increased with more interactive control. Practice has proven that when too much effort is required, subjects do not do their best, preferring, instead, a less-interactive control strategy. Moreover, the experiments showed that when grasping tasks are performed under visual control, the enhanced proprioception offered by a vibrotactile system is practically not exploited. Nevertheless, in subjective opinion, feedback seems to be quite important.
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Cites
A robust, real-time control scheme for multifunction myoelectric control
Englehart, K., & Hudgins, B. (2003) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2003.813539 · Cited by 1,743
Navarro, X., Krueger, T. B., Lago, N., Micera, S., Stieglitz, T., & Dario, P. (2005) · Journal of the Peripheral Nervous System · doi:10.1111/j.1085-9489.2005.10303.x · Cited by 845
Self-citationControl of Multifunctional Prosthetic Hands by Processing the Electromyographic Signal
Zecca, M., Micera, S., Carrozza, M. C., & Dario, P. (2002) · Critical Reviews? in Biomedical Engineering · doi:10.1615/critrevbiomedeng.v30.i456.80 · Cited by 606
Self-citationLight, C. M., Chappell, P. H., & Kyberd, P. J. (2002) · Archives of Physical Medicine and Rehabilitation · doi:10.1053/apmr.2002.32737 · Cited by 417
Cited by
Sensory feedback in upper limb prosthetics
Antfolk, C., D’Alonzo, M., Rosén, B., Lundborg, G., Sebelius, F., & Cipriani, C. (2013) · Expert Review of Medical Devices · doi:10.1586/erd.12.68 · Cited by 466
Self-citationControl of Hand Prostheses Using Peripheral Information
Micera, S., Carpaneto, J., & Raspopovic, S. (2010) · IEEE Reviews in Biomedical Engineering · doi:10.1109/rbme.2010.2085429 · Cited by 403
Self-citationDouble nerve intraneural interface implant on a human amputee for robotic hand control
Rossini, P. M., Micera, S., Benvenuto, A., Carpaneto, J., Cavallo, G., Citi, L., Cipriani, C., Denaro, L., Denaro, V., Di Pino, G., et al. (2010) · Clinical Neurophysiology · doi:10.1016/j.clinph.2010.01.001 · Cited by 396
Self-citationHegde, C., Su, J., Tan, J. M. R., He, K., Chen, X., & Magdassi, S. (2023) · ACS Nano · doi:10.1021/acsnano.3c04089 · Cited by 384
The SmartHand transradial prosthesis
Cipriani, C., Controzzi, M., & Carrozza, M. C. (2011) · Journal of NeuroEngineering and Rehabilitation · doi:10.1186/1743-0003-8-29 · Cited by 286
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Metadata
- Authors
- Cipriani, C., Zaccone, F., Micera, S., & Carrozza, M. C.
- Venue
- IEEE Transactions on Robotics
- Published
- 2008-02
- Volume
- 24
- Issue
- 1
- Pages
- 170-184
- ISSN
- 1552-3098 (ISSN-L)
- 1941-0468
- OpenAlex
- W2133644836
- Cited by
- 453
- References
- 4
- FWCI
- 13.86
- Type
- journal article
- Language
- en
- Open access
- closed
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