| 000 | 02390nam a2200301 i 4500 | ||
|---|---|---|---|
| 003 | CSPC | ||
| 005 | 20261021133020.0 | ||
| 008 | 261021s2024 ph a b 000 0 eng d | ||
| 040 |
_aCSPC _beng _cCSPC _erda |
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| 090 | _aUTH BSCS P223r 2024 | ||
| 100 | 1 |
_aParato, Lei I., _eauthor. |
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| 245 | 1 | 0 |
_aReal-time Filipino sign language to text translation using region-based convolutional neural network / _cLei I. Parato, Angelika V. Braga, and Jemima R. Villamer. |
| 300 | _a180 leaves. | ||
| 336 |
_2rdacontent _atext |
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| 337 |
_2rdamedia _aunmediated |
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| 338 |
_2rdacarrier _avolume |
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| 502 |
_aUndergraduate Theses (BSCS) - Computer Science. _cCamarines Sur Polytechnic Colleges, 2024. |
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| 504 | _aIncludes bibliographical references. | ||
| 520 | 3 | _aFilipino Sign Language (FSL) is the primary communication method for the Deaf com- munity in the Philippines, however limited knowledge of the language among the hearing population creates significant communication barriers. This study addresses this issue by developing a real-time FSL-to-text translation system. While deep learning has shown po- tential in gesture recognition, the lack of high-quality, large-scale FSL datasets hinders progress in this field. To bridge this gap, the study aimed to create a culturally authen- tic FSL dataset, build an accurate recognition model, and develop a system to deal with the current gaps in FSL research. A dataset of 846 video clips featuring 118 FSL ges- tures was created in collaboration with the Deaf community, ensuring linguistic accuracy. The system employed a Faster R-CNN model for gesture recognition, using a server-client architecture for real-time processing. Each frame of the video were extracted using Con- volutional Neural Networks, while Faster R-CNN and Gated Recurrent Units classified the signs. The resulting system achieved 90% accuracy with strong precision, recall, and F1-scores, demonstrating its potential to address communication challenges for the Deaf community. | |
| 700 | 1 |
_aBraga, Angelika V., _eauthor. |
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| 700 | 1 |
_aVillamer, Jemima R., _eauthor. |
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| 720 |
_aOñate, Joseph Jessie S., _eadviser. |
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| 720 |
_aPrianes, Freddie B., _echair, panelist. |
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| 720 |
_aBenitez, Ian P., _epanelist.. |
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| 720 |
_aOnesa, Rosel O., _epanelist. |
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| 942 |
_2ddc _n0 _cUM _hP223r _iBSCS _kUTH _m2024 |
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| 999 |
_c33840 _d33840 |
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