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Continuous sign language recognition from tracking and shape features using Fuzzy Inference Engine

Research article (2016 International Conference on Wireless Communications, Signal Processing and Networking (WiSPNET), 2016) · cited 23× · AI/ML
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Continuous sign language recognition from tracking and shape features using Fuzzy Inference Engine

Summary

Continuous sign language recognition from tracking and shape features using Fuzzy Inference Engine is a scholarly article[1].

Key Facts

  • Continuous sign language recognition from tracking and shape features using Fuzzy Inference Engine's instance of is recorded as scholarly article[2].

References

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). Continuous sign language recognition from tracking and shape features using Fuzzy Inference Engine. Retrieved May 24, 2026, from https://4ort.xyz/entity/continuous-sign-language-recognition-from-tracking-and-shape-features-using-fuzzy-inference-engine
MLA “Continuous sign language recognition from tracking and shape features using Fuzzy Inference Engine.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/continuous-sign-language-recognition-from-tracking-and-shape-features-using-fuzzy-inference-engine.
BibTeX @misc{4ortxyz_continuous-sign-language-recognition-from-tracking-and-shape-features-using-fuzzy-inference-engine_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Continuous sign language recognition from tracking and shape features using Fuzzy Inference Engine}}, year = {2026}, url = {https://4ort.xyz/entity/continuous-sign-language-recognition-from-tracking-and-shape-features-using-fuzzy-inference-engine}, note = {Accessed: 2026-05-24}}
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