Title :
Evaluation of feature-extracted images for deaf communication
Author_Institution :
University of Essex, Department of Electrical Engineering Science, Colchester, UK
Abstract :
Tests of the intelligibility of two types of feature-extracted images for deaf communication are reported, at data rates around 10 kbit/s. A mean score of 34% (based on word count) was obtained for 4 sequences; however, individual scores on some sequences were 100% correct. The results point to the need for better form identification and two-way system evaluations.
Keywords :
pattern recognition; picture processing; telephony; deaf communication; feature-extracted images; image processing; intelligibility; sign language transmission; telephony;
Journal_Title :
Electronics Letters
DOI :
10.1049/el:19830429
