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Hand Alphabet Recognition for Dactylology Conversion to English Print Using Streaming Video Segmentation

Proceedings of the 9th International Conference on Computer and Communications Management

(2021), pp. 46-51

a FEU Institute of Technology, Philippines

Abstract: Assistive technologies gained traction in the medical field over the last few decades. Novel approaches have been developed in order to support people with disability to communicate effectively. However, little research has been conducted on the other side of the coin, that is, assistive technologies to help people who do not have a disability to understand and comprehend the language of disabled. This study describes the early development of a hand alphabet recognition that intends to accomplish a functioning dactylology conversion from sign language to English print in a live streaming video. Through a video analysis, each frame is processed using a segmentation technique to partition it into different segments (e.g., pixels of hand gesture). The dactylology conversion algorithm was implemented in a mobile application where users can watch video containing an on-screen sign language interpreter and understand fingerspelling used as a communication by hearing- and speech-impaired people. Through the sample dataset of 13 videos of American Sign Language manually collected (N=10) and recorded (N=3), the application was tested for its accuracy in detecting the alphabet in a video (94.16%), and the correctness of conversion of the detected alphabet into English print (89.65%). This study contributes to the list of existing novel approaches that aims to promote social positive effects as well as improve the quality of life for both disabled and all the people they socialize with.

Recommended APA Citation:

Garcia, M. B., Jr., T. F. R., & Yabut, A. C. (2021). Hand Alphabet Recognition for Dactylology Conversion to English Print Using Streaming Video Segmentation. Proceedings of the 9th International Conference on Computer and Communications Management, 46-51. https://doi.org/10.1145/3479162.3479169

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