Motion based gesture detection using frame composition LSTM

Motion based gesture detection using frame composition LSTM

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2022.

التفاصيل البيبلوغرافية
المؤلفون الرئيسيون:	Islam, Ishraqul, Islam, Md. Saqif, Provat, Mahin Islam, Khandakar, Shaneen Shadman, Karim, Fardin Junayed
مؤلفون آخرون:	Rhaman, Md. Khalilur
التنسيق:	أطروحة
اللغة:	English
منشور في:	Brac University 2023
الموضوعات:	Frame composition LSTM ASL MediaPipe holistic Hand gesture recognition Human-computer interaction Computer communication systems
الوصول للمادة أونلاين:	http://hdl.handle.net/10361/21831

مواد مشابهة

Children using gestures and its integration with speech for communication: a comparative study between two age groups
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Use of gestures and facial expression in language acquisition
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Regarding window frame from 4th storey above
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Portal frame coating design (RFA-495_Rev.A)
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Qualitative exploration the end user context of BCC materials on COVID-19 guidelines and handwashing
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Analysis of allocation of hand pump technology for procurement as a safe drinking water source installed by DPHE
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Immediate action necessary to lift the pipes that are directly placed on the floor with water contacts
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The impact of private sector investment in rural Bangladesh: a comparative analysis of two sub-districts
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Inflamed appendix detection from laparoscopic video footage using edge detection and morphological image processing
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Gestures
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Performance analysis of deep learning algorithms for Intrusion Detection System(IDS) of IoT Security
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Deep tube Well & WASA piping layout drawing
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Recognition of Bangladeshi sign language from 2D videos using openpose and LSTM based RNN
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Observation of BRACU on test result and visual inspection report on the fire protection and instruction to start work immediately
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