The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Surface EMG in advanced hand prosthetics
Open accessOverview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
LIBSVM: A library for support vector machines
Chang, C.-C., & Lin, C.-J. (2011) · ACM Transactions on Intelligent Systems and Technology · doi:10.1145/1961189.1961199 · Cited by 40,918
Neural Networks for Pattern Recognition
Bishop, C. M. (1995) · doi:10.1093/oso/9780198538493.001.0001 · Cited by 12,287
RSVM: Reduced Support Vector Machines
Lee, Y.-J., & Mangasarian, O. L. (2001) · Proceedings of the 2001 SIAM International Conference on Data Mining · doi:10.1137/1.9781611972719.13 · Cited by 647
Research works printed but not linked: 14
- Bitzer S, van der Smagt P (2006) Learning EMG control of a robotic hand: towards active prostheses. In: Proceedings of ICRA, international conference on robotics and automation, Orlando, pp 2819–2823 · DOI · Paper page
- Boser BE, Guyon IM, Vapnik VN (1992) A training algorithm for optimal margin classifiers. In: Haussler D(eds) Proceedings of the 5th annual ACM workshop on computational learning theory.. ACM Press, New York, pp 144–152 · DOI · Paper page
- Burges CJC (1998) A tutorial on support vector machines for pattern recognition. Knowledge Discovery and Data Mining 2(2) · DOI · Paper page
- Butterfass J, Fischer M, Grebenstein M (2004) Design and experiences with DLR hand II. In: Proceedings of the world automation congress
- Cristianini N, Shawe-Taylor J (2000) An introduction to support vector machines (and other kernel-based learning methods) CUP · DOI · Paper page
- Ekvall S, Kragić D (2005) Grasp recognition for programming by demonstration. In: Proceedings of ICRA, international conference on robotics and automation, Barcelona · DOI
- Ferguson S, Dunlop GR (2002) Grasp recognition from myoelectric signals. In: Proceedings of the Australasian conference on robotics and automation, Auckland
- Figueiredo M (2003) Adaptive sparseness for supervised learning. IEEE Trans Pattern Anal Mach Intell 25(9): 1150–1159 · DOI · Paper page
- Huang H, Jiang L, Zhao D, Zhao J, Cai H, Liu H, Meusel P, Willberg B, Hirzinger G (2006) The development on a new biomechatronic prosthetic hand based on under-actuated mechanism. In: Proceedings of the 2006 IEEE/RSJ international conference on intelligent robots and systems, pp 3791–3796 · DOI
- Keerthi SS, Chapelle O, DeCoste D (2006) Building support vector machines with reduced classifier complexity. J Mach Learn Res 8: 1–22
- Orabona F, Castellini C, Caputo B, Luo J, Sandini G (2007) Indoor place recognition using online independent support vector machines. In: Proceedings of the British machine vision conference (BMVC) (to appear) · DOI
- Tipping M (2000) The relevance vector machine. In: Advances in neural information processing systems, San Mateo
- Tsuji OFT, Kaneko M, Otsuka A (2003) A human-assisting manipulator teleoperated by EMG signals and arm motions. IEEE Trans Rob Autom 19(2): 210–222 · DOI · Paper page
- Vijayakumar S, D’Souza A, Schaal S (2005) Incremental online learning in high dimensions. Neural Comput 17: 2602–2634 · DOI · Paper page
Cited by
Atzori, M., Cognolato, M., & Müller, H. (2016) · Frontiers in Neurorobotics · doi:10.3389/fnbot.2016.00009 · Cited by 684
“It is common to see in the literature movement classification accuracy of up to 90%–95% (Castellini and van der Smagt, 2009; Tenore et al., 2009; Li et al., 2010; Peerdeman et al., 2011).”
BackgroundFlexible Electronics and Devices as Human–Machine Interfaces for Medical Robotics
Heng, W., Solomon, S., & Gao, W. (2022) · Advanced Materials · doi:10.1002/adma.202107902 · Cited by 609
Surface EMG-Based Inter-Session Gesture Recognition Enhanced by Deep Domain Adaptation
Du, Y., Jin, W., Wei, W., Hu, Y., & Geng, W. (2017) · Sensors · doi:10.3390/s17030458 · Cited by 363
Zhai, X., Jelfs, B., Chan, R. H. M., & Tin, C. (2017) · Frontiers in Neuroscience · doi:10.3389/fnins.2017.00379 · Cited by 357
Capacitive Epidermal Electronics for Electrically Safe, Long‐Term Electrophysiological Measurements
Jeong, J., Kim, M. K., Cheng, H., Yeo, W., Huang, X., Liu, Y., Zhang, Y., Huang, Y., & Rogers, J. A. (2014) · Advanced Healthcare Materials · doi:10.1002/adhm.201300334 · Cited by 288
Metadata
- Authors
- Castellini, C., & van der Smagt, P.
- Venue
- Biological Cybernetics
- Published
- 2008-11-18
- Volume
- 100
- Issue
- 1
- Pages
- 35-47
- ISSN
- 0340-1200 (ISSN-L)
- 1432-0770
- OpenAlex
- W2073476715
- Cited by
- 429
- References
- 3
- FWCI
- 11.94
- Type
- journal article
- Language
- en
- Open access
- green
- Licence
- www.springer.com/tdm (tdm)
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Surface EMG in advanced hand prosthetics. https://app.cochat.ai/papers/10.1007/s00422-008-0278-1
- The paper
- Castellini, C., & van der Smagt, P. (2009). Surface EMG in advanced hand prosthetics. Biological Cybernetics. https://doi.org/10.1007/s00422-008-0278-1
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.