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.

Dettagli Bibliografici
Autori principali:	Islam, Abrar, Acanto, Orbin Ahmed, Drishty, Mehzabin Islam, Zaman, Samonty, Ahmed, Jaber
Altri autori:	Rhaman, Md. Khalilur
Natura:	Tesi
Lingua:	English
Pubblicazione:	Brac University 2024
Soggetti:	CNN BlazePose GHUM 3D Facial expression Posture sequence detection Critical situation detection Neural networks (Computer science) Computer algorithms
Accesso online:	http://hdl.handle.net/10361/23650

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