Student or educator? Sign up with your school email and get 6 months of Pro free.
CoChat
Sign Up
Cited by 328

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

Enabling always-available input with muscle-computer interfaces

Saponas, T. Scott, Tan, Desney S., Morris, Dan, Balakrishnan, Ravin, Turner, Jim, Landay, James A.·2009·Proceedings of the 22nd annual ACM symposium on User interface software and technology
DOI 10.1145/1622176.1622208
Open this paper in CoChat — free account

Abstract

Previous work has demonstrated the viability of applying offline analysis to interpret forearm electromyography (EMG) and classify finger gestures on a physical surface. We extend those results to bring us closer to using muscle-computer interfaces for always-available input in real-world applications. We leverage existing taxonomies of natural human grips to develop a gesture set covering interaction in free space even when hands are busy with other objects. We present a system that classifies these gestures in real-time and we introduce a bi-manual paradigm that enables use in interactive systems. We report experimental results demonstrating four-finger classification accuracies averaging 79% for pinching, 85% while holding a travel mug, and 88% when carrying a weighted bag. We further show generalizability across different arm postures and explore the tradeoffs of providing real-time visual feedback.

Overview

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.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1145/1622176.1622208

Cites

1 of 1 references verified0 citation errors · 0 not checkable

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.

A few free checks a day · papers already verified open instantly · results are public

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

Show all 1 references

Research works printed but not linked: 23

  1. 10.1023/A:1009715923555 · DOI · Paper page
  2. 10.1145/1240624.1240747 · DOI
  3. 10.1109/70.538982 · DOI · Paper page
  4. 10.1145/502348.502388 · DOI · Paper page
  5. Ju , P. , Kaelbling , L. P. & Singer , Y. 2000 . State-based Classification of Finger Gestures from Electromyographic Signals . ICML '08 , 439--446. Ju, P., Kaelbling, L. P.&Singer, Y. 2000. State-based Classification of Finger Gestures from Electromyographic Signals. ICML '08, 439--446.
  6. 10.1109/TFUZZ.2004.832525 · DOI · Paper page
  7. 10.1145/964696.964701 · DOI
  8. 10.1109/CCECE.2004.1345029 · doi:10.1109/ccece.2004.1345029
  9. 10.1145/1166253.1166268 · DOI · Paper page
  10. 10.1145/1029632.1029674 · DOI
  11. MacKenzie , C. L. and Iberall , T . 1994 . The Grasping Hand . Amsterdam: North-Holland , Elsevier Science . MacKenzie, C. L. and Iberall, T. 1994. The Grasping Hand. Amsterdam: North-Holland, Elsevier Science.
  12. 10.1002/0471678384 · DOI · Paper page
  13. Naik , G.R. , Kumar , D.K. , Singh , V.P. & Palaniswami , M. 2006 . Hand gestures for HCI using ICA of EMG . HCSNet Workshop on the Use of Vision in HCI, 67--72 . Naik, G.R., Kumar, D.K., Singh, V.P.&Palaniswami, M. 2006. Hand gestures for HCI using ICA of EMG. HCSNet Workshop on the Use of Vision in HCI, 67--72.
  14. 10.1109/TNSRE.2002.806831 · DOI
  15. 10.1251/bpo115 · DOI · Paper page
  16. 10.1145/1357054.1357138 · DOI · Paper page
  17. 10.1142/S1793545808000224 · DOI
  18. Schlesinger , G. Der Adechanische Auflau der kunstlichen Glieder . 1919 . Ersatzglieder und Arbeitshilfen, 1. Springer Verlag , Berlin. Schlesinger, G. Der Adechanische Auflau der kunstlichen Glieder. 1919. Ersatzglieder und Arbeitshilfen, 1. Springer Verlag, Berlin.
  19. Tenore , F. , Ramos , A. , Fahmy , A. , Acharya , S. , Etienne-Cummings , R. & Thakor , N. 2007. Towards the Control of Individual Fingers of a Prosthetic Hand Using Surface EMG Signals . IEEE EMBS. Tenore, F., Ramos, A., Fahmy, A., Acharya, S., Etienne-Cummings, R.&Thakor, N. 2007. Towards the Control of Individual Fingers of a Prosthetic Hand Using Surface EMG Signals. IEEE EMBS.
  20. 10.1007/s11517-006-0100-y · DOI
  21. 10.1109/TSMCC.2006.875418 · DOI
  22. 10.1145/1095034.1095047 · DOI · Paper page
  23. Yatsenko , D. , McDonnall D. & Guillory , S. 2007. Simultaneous , Proportional , Multi-axis Prosthesis Control using Multichannel Surface EMG . IEEE EMBS. Yatsenko, D., McDonnall D.&Guillory, S. 2007. Simultaneous, Proportional, Multi-axis Prosthesis Control using Multichannel Surface EMG. IEEE EMBS.

Cited by

See all 328

Metadata

Authors
Saponas, T. S., Tan, D. S., Morris, D., Balakrishnan, R., Turner, J., & Landay, J. A.
Venue
Proceedings of the 22nd annual ACM symposium on User interface software and technology
Publisher
ACM
Published
2009-10-04
Pages
167-176
DOI
10.1145/1622176.1622208
OpenAlex
W2141964067
Cited by
328
References
1
FWCI
29.21
Type
conference paper
Language
en
Open access
closed
Licence
www.acm.org/publications/policies/copyright_policy#Background (vor)

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: Enabling always-available input with muscle-computer interfaces. https://app.cochat.ai/papers/10.1145/1622176.1622208
The paper
Saponas, T. S., Tan, D. S., Morris, D., Balakrishnan, R., Turner, J., & Landay, J. A. (2009). Enabling always-available input with muscle-computer interfaces. Proceedings of the 22nd annual ACM symposium on User interface software and technology. https://doi.org/10.1145/1622176.1622208

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.