2003
DOI: 10.1523/jneurosci.23-06-02383.2003
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Coarticulation in Fluent Fingerspelling

Abstract: In speech, the phenomenon of coarticulation (differentiation of phoneme production depending on the preceding or following phonemes) suggests an organization of movement sequences that is not strictly serial. In the skeletal motor system, however, evidence for comparable fluency has been lacking. Thus the present study was designed to quantify coarticulation in the hand movement sequences of sign language interpreters engaged in fingerspelling. Records of 17 measured joint angles were subjected to discriminant… Show more

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Cited by 96 publications
(57 citation statements)
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References 35 publications
(30 reference statements)
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“…hand postures can be captured by a small number of independent principal components (PCs) (Jerde et al 2003b;Santello et al 1998Santello et al , 2002. Briefly, subjects donned the data glove and performed three repetitions of a random sequence of 24 hand postures corresponding to the static finger spelling characters of the American Manual Alphabet (AMA).…”
Section: Defining the Hand-to-screen Mapping And Target Locationsmentioning
confidence: 99%
“…hand postures can be captured by a small number of independent principal components (PCs) (Jerde et al 2003b;Santello et al 1998Santello et al , 2002. Briefly, subjects donned the data glove and performed three repetitions of a random sequence of 24 hand postures corresponding to the static finger spelling characters of the American Manual Alphabet (AMA).…”
Section: Defining the Hand-to-screen Mapping And Target Locationsmentioning
confidence: 99%
“…Jerde et al (2003a) evaluated the impact of coarticulation in finger spelling by measuring movements of fingers and wrist. They found forward and reverse influences across finger-generated letters analogous to the patterns found in speech.…”
Section: Sequencing and Coarticulation In Limb Movementsmentioning
confidence: 99%
“…Modeling transitions results in a recognition system that leverages information available while a letter is being formed to disambiguate between letters whose handshapes appear similar in single-camera video. Additionally, because the letter transition model includes multiple HMM states for each letter depending on the surrounding context, it can learn differences in handshape caused by coarticulation [23].…”
Section: Performance Comparisonmentioning
confidence: 99%