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Signer-Independent Recognition

Also known as: signer-independent SLR

A sign language recognition approach designed to work with signers whose data was not included in the training set. Similar to speaker-independent speech recognition, signer-independent systems must handle variations in signing style, hand size, speed, and regional signing differences. Achieving robust signer-independent recognition is crucial for practical deployment but remains challenging due to the high variability between individual signers.

Category: sign language recognition · machine learning · assistive technology

Related: Sign Language Recognition · Continuous Sign Language Recognition · Hidden Markov Model

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