hey aku disini show_detail Andriana Primary Author Ike Yuni Wulandari Primary Author Budi Mulyanti Primary Author Isma Widiaty Primary Author Zurkarnain Primary Author mixed material bibliography Tailor\'s University Journal of Engineering Science and Technology 2021 monographic Special Issue, Desember 2021 18 -25 en English

Text

The number of pages of the book is 8 pages This purpose study is to assist the social interaction of deaf and dumb inclusion students with normal students and teachers in vocational education using a converter equipped with a Time of Flight (ToF) and infrared camera sensor and an extreme learning machine (ELM) algorithm. The conversion method uses the following processes: (i) Pre-Processing, (ii) 3D and 2D Segmentation, (iii) 3D and 2D Extraction, (iv) Hand Gesture Recognition Data Processing, (v) Pattern Recognition, and (vi) Pattern to Text and Voice Convert. The Indonesian sign language for social interaction tested has 11 words. The experimental demonstration was carried out with the help of an artificial network ELM algorithm that uses a hidden layer of feedforward Neural networks. The ELM parameters consist of: (i) hand position data in x, y, z, (2) data rotation, (iii) finger detection in x, y, z, (iv) extended finger position, and (v) non-extended finger position. Test results in the form of ELM parameters of 11 words in the form of data showing that the conversion of each language used into text and sound that is tested by ELM with the time of flight and infrared cameras has a success rate where students can socially interact with normal students and teachers in public schools vocational. Indonesian Sign Language 600 Repository Fakultas Teknik Sistem Repository Elektronik Skripsi dan Penelitian Dosen Fakultas Teknik Indonesian Sign Language Converter Into Text And Voice As Social Interaction Tool For Inclusion Student In Vocational High Schools 916 2023-01-10 17:52:34 2023-01-10 17:52:34 machine generated