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Performance evaluation of pattern recognition networks using electromyography signal and time-domain features for the classification of hand gestures
Research article (Proceedings of the Institution of Mechanical Engineers Part H Journal of Engineering in Medicine, 2020) · cited 10× · AI/ML
Performance evaluation of pattern recognition networks using electromyography signal and time-domain features for the classification of hand gestures
Summary
Performance evaluation of pattern recognition networks using electromyography signal and time-domain features for the classification of hand gestures is a scholarly article[1].
Key Facts
Performance evaluation of pattern recognition networks using electromyography signal and time-domain features for the classification of hand gestures's instance of is recorded as scholarly article[2].
References
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APA4ort.xyz Knowledge Graph. (2026). Performance evaluation of pattern recognition networks using electromyography signal and time-domain features for the classification of hand gestures. Retrieved May 24, 2026, from https://4ort.xyz/entity/performance-evaluation-of-pattern-recognition-networks-using-electromyography-signal-and-time-domain-features-for-the-cl
MLA“Performance evaluation of pattern recognition networks using electromyography signal and time-domain features for the classification of hand gestures.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/performance-evaluation-of-pattern-recognition-networks-using-electromyography-signal-and-time-domain-features-for-the-cl.
BibTeX@misc{4ortxyz_performance-evaluation-of-pattern-recognition-networks-using-electromyography-signal-and-time-domain-features-for-the-cl_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Performance evaluation of pattern recognition networks using electromyography signal and time-domain features for the classification of hand gestures}}, year = {2026}, url = {https://4ort.xyz/entity/performance-evaluation-of-pattern-recognition-networks-using-electromyography-signal-and-time-domain-features-for-the-cl}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Performance evaluation of pattern recognition networks using electromyography signal and time-domain features for the classification of hand gestures — https://4ort.xyz/entity/performance-evaluation-of-pattern-recognition-networks-using-electromyography-signal-and-time-domain-features-for-the-cl (retrieved 2026-05-24)
