Human activity recognition and authentication system

Human activity recognition and authentication system

This thesis is submitted in partial fulfillment of the requirements for the degree of Master of Science in Computer Science and Engineering, 2023.

Bibliografiske detaljer
Hovedforfatter:	ALam, Md. Zubaer
Andre forfattere:	Mostakim, Moin
Format:	Thesis
Sprog:	English
Udgivet:	Brac University 2024
Fag:	Human activity recognition Facial recognition Prediction Neural Network Pose estimation Machine learning Neural network > Computer science
Online adgang:	http://hdl.handle.net/10361/22076

Lignende værker

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An android application to predict human activity using a deep learning LSTM model
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Udgivet: (2024)

Study on human emotion based on facial expressions through human machine communication
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Udgivet: (2021)

Visual speech recognition using artificial neural networking
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Udgivet: (2018)

Facial recognition using dynamic image processing
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Udgivet: (2017)

Audio recognition using feed forward neural network optimized by principle component analysis
af: Momo, Nusrat Suzana, et al.
Udgivet: (2017)

Emotion recognition from facial expression of autism spectrum disordered children using image processing and machine learning algorithms
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Udgivet: (2019)

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Udgivet: (2022)

Detection of violent activity in surveillance system using different deep learning techniques
af: Chakravorty, Tirthendu Prosad, et al.
Udgivet: (2024)

Efficient Spatio-temporal feature extraction for human action recognition
af: Ghosh, Dipon Kumar
Udgivet: (2022)

Analysis on face recognition based on five different viewpoint of face images using MTCNN and FaceNet
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Udgivet: (2019)

A viseme recognition system using lip curvature and neural networks to detect Bangla vowels
af: Akhter, Nahid
Udgivet: (2017)

Facial recognition using empirical mode decomposition, Multi-linear principal component analysis and post-processing using expectation maximization algorithm
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Udgivet: (2014)

Isolated bangla handwritten character & digit recognition using convolutional neural network
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Udgivet: (2018)

Neural networks for pattern recognition /
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Udgivet: (1995)

Real time dynamic facial recognition of subject at motion using angular image
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Udgivet: (2024)

Bangla license plate recognition using convolutional neural networks (CNN)
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Udgivet: (2018)

Visual object recognition using deep convolutional neural network
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Udgivet: (2017)

Obscure face recognition using deep neural networks
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Udgivet: (2023)

Behavior change analysis due to violent video gaming using deep learning models
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KDANet: optical recognition for Bangla language using deep neural networks
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Towards solving perception based autonomous driving assistant system
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Udgivet: (2022)

Handwritten character recognition using neural network
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Udgivet: (2021)

A squeeze and excitation ResNeXt-based deep learning model for Bangla handwritten basic to compound character recognition
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Udgivet: (2022)

Urban pattern recognition from multi-spectral satellite images and flood prediction using machine learning models
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Udgivet: (2024)

Leveraging sequential deep learning models for detecting multitude of human action categories
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Analysis of malware prediction based on infection rate using machine learning techniques
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Udgivet: (2020)

Voice recognition using machine learning and central database to enhance security system
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Udgivet: (2022)

An efficient facial expression recognition method using mean And standard deviation
af: Laboni, Pragna, et al.
Udgivet: (2017)

MEDNET – an approach to facial micro-emotion recognition using pixel binning and local Binary pattern - convolutional neural network
af: Araf, Tashreef Abdullah
Udgivet: (2024)

RED-LSTM: Real time emotion detection using LSTM
af: Labiba, Mansura Rahman, et al.
Udgivet: (2023)

Performance analysis of different machine learning approaches for single modal facial expression detection
af: Zinia, Surovi, et al.
Udgivet: (2018)

AVCL: Audio Video clustering for learning Conversation labeling using Neural Network and NLP
af: Chowdhury, Salman Mostafiz, et al.
Udgivet: (2022)

Detection and recognition of Bangladeshi fishes using surf features and CNN classifier
af: Shuhin, Syed Adiba, et al.
Udgivet: (2019)

A computer vision based approach for stalking detection using CNN-LSTM hybrid model
af: Iqbal, Shahriar, et al.
Udgivet: (2023)

A hybrid approach to determine patients critical situation using expression & posture with convolutional neural network & Blazepose algorithm
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Udgivet: (2024)

One voice is all you need: a one-shot approach to recognize you
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Udgivet: (2022)