• Journal of the Korea Academia-Industrial cooperation Society
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• v.19 no.8
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• pp.260-267
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• 2018

Surface electromyography (sEMG) is mainly used as an on/off switch in the early stage of the study and was then expanded to navigational control of powered-wheelchairs and recognition of sign language or finger gestures. There are difficulties in communication between people who know and do not know sign language; therefore, many efforts have been made to recognize sign language or finger gestures. Recently, use of sEMG signals to recognize sign language signals have been investigated; however, most studies of this topic conducted to date have focused on Chinese finger number gestures. Since sign language and finger gestures vary among regions, Korean- and Chinese-finger number gestures differ from each other. Accordingly, the recognition performance of Korean finger number gestures based on sEMG signals can be severely degraded if the same muscles are specified as for Chinese finger number gestures. However, few studies of Korean finger number gestures based on sEMG signals have been conducted. Thus, this study was conducted to identify potential forearm muscles from which to collect sEMG signals for Korean finger number gestures. To accomplish this, six Korean finger number gestures from number zero to five were investigated to determine the usefulness of the proposed muscles and electrode placements by showing that CNN technique based on sEMG signal after sufficient learning recognizes six Korean finger number gestures in accuracy of 100%.

• Journal of Korea Game Society
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• v.12 no.6
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• pp.121-130
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• 2012

Due to recent developments in smart media, the desire for interaction between humans and computers has increased. In order to satisfy these needs, gesture recognition fields have been actively studied using image processing. In this paper, we propose a method to recognize Chinese hand numeric representation using image processing. The method binarizes an input image based on skin color to extract region of interest and check the number using the angular information of stretched fingers. Our proposed method has 95.83% of recognition rate.

• The Research Journal of the Costume Culture
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• v.8 no.3
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• pp.493-511
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• 2000

The objective of this study was to trace and to examine costume terminologies recorded in Pak Tong Sa Eun Hae. Names of costumes and costume related terms were collected from P마 Tong Sa Eun Hae. Books and various references from China and Korea were used for this study. Costume terms were examined from the Chinese and Korean. Classifications of costume terminologies from the data were made for the analysis : man and woman's costume, accessories, names of fabrics, colors, and decorative motifs used, professional costume, special occasion dresses and so on. Conclusions and summary of results and findings can be summerized as follows : It revealed that manes of man's costume and other costume related words were a large in number compared with those of woman. Only one name of woman's costume appeared in the text : It was kind of long vests. However, names of accessories such as a hat, a hat decorated with jewels and phoenix design, a hair pin, earings, bracelets, finger rings, a soft belt were shown in the text. While many costume names of man included in the text were of garments such as a kind of long vest, a short vest, an outer robe, a kind of long coat with pleated skirt, leg coverings, outer jacket and so on. Also names of undergarments such as an under skirt, a belly covering, and drawers were found in the text. Fabric names were mostly silks such as brocade, twill, sarcenet, damasks and plain silks. Blue was the most widely appeared fabric color in the text and red was the second. Design motifs of fabric design were of dragon, flowers, eight precious things, clouds which were characteristic design motifs of the Chinese. It was found that some of the Chinese costume terminologies were translated into the Korean although many Chinese costume terms were used as the original Chinese.