000			03335nam a22003257a 4500
003			OSt
005			20241206100738.0
008			241206b |||||||| |||| 00| 0 eng d
040			_aTUPM _bEnglish _cTUPM _dTUPM _erda
050			_aBTH TK 5105.59 _bA97 2024
100			_aAusan, Kylle Bryan B. _eauthor
245			_aDevelopment of real-time sing language transcription system/ _cKylle Bryan B. Ausan, Mark Christian T. Carale, Apreal J. De Chavez, Paul Timothy A. Mena, Rebecca R. Sorreda, and Ethan Darrell T. Sta. Maria .--
260			_aManila: _bTechnological University of the Philippines, _c2024.
300			_axii, 129pages: _c29cm. _e+1 CD-ROM (4 3/4in.)
336			_2rdacontent
337			_2rdamedia
338			_2rdacarrier
500			_aThesis (undergraduate)
502			_aCollege of Industrial Technology.-- _bBachelor of Engineering Technology major in Electronic Communications Technology: _cTechnological University of the Philippines, _d2024.
504			_aIncludes bibliography:
520			_aThe study, Development of Real-Time Sign Language Transcription System aims to present a real-time sign language transcription system capable of translating American Sign Language (ASL) and Filipino Sign Language (FSL) into English, Filipino, Cebuano and Ilokano. The system utilizes Raspberry Pi as the CPU of the system, a camera module 2 for capturing sign language gestures, processed using Python and Speeded Up Robust Features (SURF) technology for gesture recognition. The translated text is displayed on a 7-inch LED touchscreen. The project prototype has a measurement of 5.7 by 8.5 inch for portability and user-friendliness. It is composed of wireless keyboard, charging port and is powered by a 10,000 mAh rechargeable battery. This study intends to resolve communication lapses between individuals who use sign language to interact in different languages and dialects. The results showed that the sign language transcriber was able to recognize ASL and FSL and translate best with medium light exposure. The ASLtranslation has a minimum accuracy of 38%, maximum accuracy of 47%, and an average accuracy of 41%. FSL translation has a minimum accuracy of 49%, maximum accuracy of 56%, and an average accuracy of 51%. The time delay of translation for ASL has a minimum of 0.87 seconds, maximum of 2.33 seconds and average of 1.55 seconds. FSL time delay has a minimum of 0.79 seconds, maximum of 2.22 seconds and average of 1.46 seconds. The system was evaluated by fifty (50) evaluators composed of electronics professionals, students under the Electronics Engineering Technology Department of Technological University of the Philippines, engineering students from Adamson University and Signers using the Confusion Matrix and was rated with an overall mean of 4.31 with a descriptive rating of “Very Acceptable.” Indicating that the system is beneficial for both signers and non-signers in terms of communicating.
650			_aAmerican sign language
650			_aFilipino sign language
700			_aCarale, Mark Christian T. _eauthor
700			_aDe Chavez, Apreal J. _eauthor
700			_aMena, Paul Timothy A. _eauthor
700			_aSorreda, Rebecca R. _eauthor
700			_aSta. Maria, Ethan Darrell T. _eauthor
942			_2lcc _cBTH CIT _n0
999			_c29167 _d29167