A hybrid approach to determine patients critical situation using expression & posture with convolutional neural network & Blazepose algorithm

A hybrid approach to determine patients critical situation using expression & posture with convolutional neural network & Blazepose algorithm

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

Bibliografiset tiedot
Päätekijät: Islam, Abrar, Acanto, Orbin Ahmed, Drishty, Mehzabin Islam, Zaman, Samonty, Ahmed, Jaber
Muut tekijät: Rhaman, Md. Khalilur
Aineistotyyppi: Opinnäyte
Kieli:English
Julkaistu: Brac University 2024
Aiheet:
CNN
BlazePose GHUM 3D
Facial expression
Posture sequence detection
Critical situation detection
Neural networks (Computer science)
Computer algorithms
Linkit:http://hdl.handle.net/10361/23650

Internet

http://hdl.handle.net/10361/23650

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