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