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Various kinds of location-aware computing and applications are proliferating rapidly nowadays, which makes the location the most critical ingredient. However, on one hand, one location represented as the semantic meaning like “home” is more understandable than conveying the absolute physical coordinate; on the other hand, detected wireless data is a series of random sequence and the formed training...
In sign language recognition (SLR), the major challenges now are developing methods that solve signer-independent continuous sign problems. In this paper, SOFM/HMM is first presented for modeling signer-independent isolated signs. The proposed method uses the self-organizing feature maps (SOFM) as different signers' feature extractor for continuous hidden Markov models (HMM) so as to transform input...
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