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Kinect-ing the Dots: Using Motion-Capture Technology to Distinguish Sign Language Linguistic From Gestural

Rose Stamp¹, David Cohn, Hagit Hel-Or²

¹Department of English Literature and Linguistics, Bar-Ilan University, Israel.

Language and Speech

|June 14, 2023

Summary

This summary is machine-generated.

Motion capture technology distinguishes lexical signs in sign language from other expressions like constructed action and classifier constructions. This research helps define the linguistic category "word" in visual languages.

Keywords:

Sign language classifier constructions constructed action gesture linguistic categories motion capture movement

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Area of Science:

Linguistics
Cognitive Science
Motion Capture Technology

Background:

Sign languages, like spoken languages, feature a continuous stream of expression.
Distinguishing linguistic units from other visual signals is crucial for understanding sign language structure.

Purpose of the Study:

To differentiate lexical signs from constructed action and classifier constructions in sign language using motion capture.
To investigate kinematic differences between various sign language expression types.

Main Methods:

Utilized motion-capture technology to record and analyze movements in Israeli Sign Language.
Compared kinematic parameters of lexical signs, constructed action, and classifier constructions.

Main Results:

Lexical signs exhibit significant kinematic differences compared to constructed action and classifier constructions.
Motion capture can identify distinct movement patterns for different types of visual signals in sign language.

Conclusions:

Not all visual signals in sign language are linguistically equivalent; they possess distinct kinematic properties.
Motion capture technology provides a method for defining the universal linguistic category "word" in sign languages and distinguishing it from expressive gestures.