fieldid E-Thesis & Research สถาบันเทคโนโลยีไทย-ญี่ปุ่น
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บทคัดย่อ
A REAL-TIME THAI SIGN LANGUAGE RECOGNITION SYSTEM USING SKELETAL KEYPOINTS AND LSTM NETWORKS : I would like to express my deepest gratitude to my thesis advisor, Dr. Pramuk Boonsieng, for his invaluable guidance, constructive feedback, and continuous support throughout the development of this research. His academic insight, patience, and encouragement played a crucial role in shaping this thesis and guiding me through both the technical and research challenges. Without his supervision and direction, this work would not have been successfully completed. I would also like to sincerely thank my thesis committee members, Dr. Pikul Vejjanugraha, Dr. Napaphat Vichaidis, and Dr. Puwadol Sirikongtham, for their time, valuable suggestions, and thoughtful comments. Their expertise and constructive criticism helped improve the quality, clarity, and academic rigor of this research. I am truly grateful for their support and guidance throughout the evaluation process. My heartfelt appreciation goes to my family for their unconditional love, understanding, and encouragement. Their constant support and belief in me provided the motivation and strength needed to overcome challenges during my studies and research journey.
ผู้แต่ง
Yosvaris Pisansawanya
ประเภทสิ่งพิมพ์
Thesis (MIT) 2025
เลขหน้า
85
หัวเรื่อง
Information Technology--Thesis
หัวเรื่อง
Thai-Nichi Institute of Technology.Information Technology--Thesis
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