Human Activity Recognition using wearable body sensor by machine learning approach

Human Activity Recognition using wearable body sensor by machine learning approach

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2019.

Bibliografiske detaljer
Main Authors:	Promi, Sadia Tangim, Rahman, Md. Zahidur, Mostafa, Moumita, Harun, Sarah Bintay
Andre forfattere:	Alam, Md. Golam Rabiul
Format:	Thesis
Sprog:	en_US
Udgivet:	Brac University 2020
Fag:	Human Activity Recognition HAR Machine Learning Convolutional Neural Network
Online adgang:	http://hdl.handle.net/10361/14054

Lignende værker

Prediction of human activity using machine learning
af: Tisha, Sadia Nasrin, et al.
Udgivet: (2020)

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

Visual object recognition using deep convolutional neural network
af: Ahmed, Sabbir
Udgivet: (2017)

Bangla license plate recognition using convolutional neural networks (CNN)
af: Rahman, M M Shaifur
Udgivet: (2018)

Human activity recognition and authentication system
af: ALam, Md. Zubaer
Udgivet: (2024)

Analysis on face recognition based on five different viewpoint of face images using MTCNN and FaceNet
af: Al-imran, et al.
Udgivet: (2019)

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

Visual speech recognition using artificial neural networking
af: Sharmili, Nowshin, et al.
Udgivet: (2018)

Accurate analysis of mood detection using eye-images rather than facial expression recognition (FER)
af: Hossain, Arafat, et al.
Udgivet: (2023)

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

KDANet: optical recognition for Bangla language using deep neural networks
af: Rabbi, Kazi Kamruzzaman, et al.
Udgivet: (2023)

Efficient image processing and machine learning approach for predicting retinal diseases
af: Hasib, Mehadi Hasan, et al.
Udgivet: (2021)

Neural networks for pattern recognition /
af: Bishop, Christopher M.
Udgivet: (1995)

Emotion recognition from facial expression of autism spectrum disordered children using image processing and machine learning algorithms
af: Tasnim, Nishat, et al.
Udgivet: (2019)

Isolated bangla handwritten character & digit recognition using convolutional neural network
af: Alif, Mujadded Al Rabbani, et al.
Udgivet: (2018)

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

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

A Comparative study on Bengali handwritten character recognition and prediction using CNN
af: Abrar, Muntaqa, et al.
Udgivet: (2021)

TinyML for emotion detection in voice signals: evaluating and proposing algorithms for IoT wearable devices
af: Ahmed, Hasibul Hasan, et al.
Udgivet: (2024)

Leaf classification by feature extraction using CNN
af: Bhuiyan, Md. Mazharul Islam, et al.
Udgivet: (2020)

Crime scene prediction by detecting threatening objects using convolutional neural network
af: Nakib, Mohammad, et al.
Udgivet: (2017)

Tri-modal ensemble for enhanced Bangla sign language recognition
af: Shams, Khan Abrar, et al.
Udgivet: (2024)

Semantic text extraction from CAPTCHA using Neural Networking
af: Chowdhury, Iftekhar Kabir, et al.
Udgivet: (2022)

Handwritten character recognition using neural network
af: Hussain, Shoumin Rafsun, et al.
Udgivet: (2021)

Bangla sign language recognition and sentence building using deep learning
af: Shurid, Safayet Anowar, et al.
Udgivet: (2021)

Obscure face recognition using deep neural networks
af: Akash, MD Shahadat Hossain, et al.
Udgivet: (2023)

Classification of Bangla regional languages and recognition of artificial Bangla speech using deep learning
af: Hossain, Prommy Sultana
Udgivet: (2022)

A novel lightweight CNN approach for Bangladeshi sign language gesture recognition
af: Rahman, Aryan, et al.
Udgivet: (2023)

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

A new pattern recognition method for abnormal event detection in crowded scenarios
af: Mostafa, Tahjid Ashfaque
Udgivet: (2017)

RansomListener: Ransom call sound investigation using LSTM and CNN Architectures
af: Rahman, Rafeed, et al.
Udgivet: (2021)

Comparative study of toxic comments classification using machine learning algorithms
af: Razzak, Razia, et al.
Udgivet: (2021)

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

Affordable voice assistive intelligent glass for visually impaired people in perspective of Bangladesh
af: Peyal, Md. Mahmudul Kabir, et al.
Udgivet: (2021)

Single and multi-view 2D image processing for enhanced 3D object reconstruction
af: Ghosh, Swapnil, et al.
Udgivet: (2024)

An efficient deep learning approach for brain tumor detection using 3D convolutional neural network
af: Ali, Syed Muaz
Udgivet: (2023)

Image recognition by deep learning
af: Mohiuddin, Karishma, et al.
Udgivet: (2018)

Incorporating deep features extracted from convolutional neural networks to utilize machine learning classifiers for improved identification of Maize Leaf Disease
af: Khan, Shama, et al.
Udgivet: (2024)

Machine learning approach for face recognition from 3D models generated by multiple 2D angular images
af: Mahmud, Moinuddin, et al.
Udgivet: (2019)

Voice recognition using machine learning and central database to enhance security system
af: Nur, Mir Md. Taosif, et al.
Udgivet: (2022)