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Biomedical Engineering and Bioengineering Commons™
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Full-Text Articles in Biomedical Engineering and Bioengineering
A Kinematic Analysis Of Sign Language, Chemuttaai C. Koech
A Kinematic Analysis Of Sign Language, Chemuttaai C. Koech
Theses
Signed languages develop among deaf populations and employ manual communication instead of voiced communication. Stokoe attributes classify individual signs in American Sign Language (ASL) and include handshape, hand location, movement, orientation, and facial expression. Signed and oral languages are not mutually understood, and many deaf individuals live in linguistic isolation. This research addresses computer translation between signing and speech, investigating sign duration in sentence context versus in isolation and identifying kinematic sign markers. To date, there has been little study of continuous signing kinematics; it was previously unknown if kinematic markers existed.
Kinematic data were collected from a proficient signer …
Parameter Based Synthesis Of Sign Language, Amanda Irving
Parameter Based Synthesis Of Sign Language, Amanda Irving
Theses
The primary objective of this project is to demonstrate synthesis of signs in American Sign Language with a finite number of parameters. The parameters in this method include 22 key locations, six location modifiers, six orientation indicators, 46 hand shapes, six predefined movements and seven possible end effectors. These parameters can be used in conjunction with a computer script and they maximize precision and versatility while minimizing development time and resources. The parameters for each sign are stored in an individual text file averaging approximately half a kilobyte.
The success of this project is demonstrated using UGS's Jack Software, Version …
A Kinematic Analysis Of Hand Configurations In Static And Dynamic Fingerspelling, Gillian B. Sherry
A Kinematic Analysis Of Hand Configurations In Static And Dynamic Fingerspelling, Gillian B. Sherry
Theses
The focus of this study was the investigation of target handshapes in American Sign Language fingerspelling in order to determine whether there was a difference between static canonical structures and structures produced in the context of a movement sequence. This was achieved by measuring the joint angles of a signing hand with an 18-sensor CyberGlove® by Virtual Technologies, Inc.
A discriminant analysis was used to identify targets that occurred at points of minimum angular joint velocity. A multivariate analysis of variance with planned compansons was then applied to these dynamic data along with the static data to test the hypothesis. …