Biological constraints simplify the recognition of hand shapes

IEEE Transactions on Biomedical Engineering

Volumn 50, Issue 2, 2003, Pages 265-269

  Jerde, Thomas E ^a   Soechting, John F ^b   Flanders, Martha ^b  

^a BROWN UNIVERSITY   (United States)

^b UNIVERSITY OF MINNESOTA   (United States)

Author keywords

American Sign Language (ASL); Cyberglove; Gesture recognition; Postural synergy; Principal components analysis

Indexed keywords

BIOLOGICAL ORGANS; DEGREES OF FREEDOM (MECHANICS); MUSCLE;

BIOLOGICAL CONSTRAINTS;

BIOMEDICAL ENGINEERING;

ACCURACY; ARTICLE; BODY POSTURE; CONTROLLED STUDY; FEMALE; GESTURE; GONIOMETRY; HAND MOVEMENT; HUMAN; HUMAN EXPERIMENT; JOINT FUNCTION; MALE; NEUROMUSCULAR FUNCTION; NORMAL HUMAN; PRINCIPAL COMPONENT ANALYSIS; SIGN LANGUAGE;

CLUSTER ANALYSIS; COMMUNICATION AIDS FOR DISABLED; DISCRIMINANT ANALYSIS; FEMALE; GESTURES; HAND; HUMANS; IMAGE INTERPRETATION, COMPUTER-ASSISTED; MALE; MOVEMENT; PATTERN RECOGNITION, VISUAL; PHYSICAL EXAMINATION; POSTURE; PRINCIPAL COMPONENT ANALYSIS; QUALITY CONTROL; RANGE OF MOTION, ARTICULAR; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; SIGN LANGUAGE; TRANSDUCERS;

EID: 0037297277     PISSN: 00189294     EISSN: None     Source Type: Journal    
DOI: 10.1109/TBME.2002.807640     Document Type: Article

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