Ausan, Kylle Bryan B.  <br/><br/>
Development of real-time sing language transcription system/  
Kylle Bryan B. Ausan, Mark Christian T. Carale, Apreal J. De Chavez, Paul Timothy A. Mena, Rebecca R. Sorreda, and Ethan Darrell T. Sta. Maria .-- 
 - Manila:   Technological University of the Philippines,   2024. 
 - xii, 129pages:   29cm.   +1 CD-ROM (4 3/4in.)  
<br/><br/> Thesis (undergraduate)  
<br/><br/>College of Industrial Technology.-- 
<br/><br/>Includes bibliography:  
<br/><br/> The study, Development of Real-Time Sign Language Transcription System aims to<br/>present a real-time sign language transcription system capable of translating American Sign<br/>Language (ASL) and Filipino Sign Language (FSL) into English, Filipino, Cebuano and<br/>Ilokano. The system utilizes Raspberry Pi as the CPU of the system, a camera module 2<br/>for capturing sign language gestures, processed using Python and Speeded Up Robust<br/>Features (SURF) technology for gesture recognition. The translated text is displayed on a<br/>7-inch LED touchscreen. The project prototype has a measurement of 5.7 by 8.5 inch for<br/>portability and user-friendliness. It is composed of wireless keyboard, charging port and is<br/>powered by a 10,000 mAh rechargeable battery. This study intends to resolve<br/>communication lapses between individuals who use sign language to interact in different<br/>languages and dialects. The results showed that the sign language transcriber was able to<br/>recognize ASL and FSL and translate best with medium light exposure. The ASLtranslation<br/>has a minimum accuracy of 38%, maximum accuracy of 47%, and an average accuracy of<br/>41%. FSL translation has a minimum accuracy of 49%, maximum accuracy of 56%, and<br/>an average accuracy of 51%. The time delay of translation for ASL has a minimum of 0.87<br/>seconds, maximum of 2.33 seconds and average of 1.55 seconds. FSL time delay has a<br/>minimum of 0.79 seconds, maximum of 2.22 seconds and average of 1.46 seconds. The<br/>system was evaluated by fifty (50) evaluators composed of electronics professionals,<br/>students under the Electronics Engineering Technology Department of Technological<br/>University of the Philippines, engineering students from Adamson University and Signers<br/>using the Confusion Matrix and was rated with an overall mean of 4.31 with a descriptive<br/>rating of “Very Acceptable.” Indicating that the system is beneficial for both signers and<br/>non-signers in terms of communicating. 
<br/><br/><label>Subjects--Topical Terms: </label><br/>American sign language <br/>Filipino sign language 
<br/><br/><label>LC Class. No.: </label>BTH TK 5105.59  / A97 2024