Human activity recognition based on wrist PPG via the ensemble method

QR Code

Human activity recognition based on wrist PPG via the ensemble method

Human activity recognition via Electrocardiography (ECG) and Photoplethysmography (PPG) is extensively researched. While ECG requires less filtering and is less prone to disturbance and artifacts, nonetheless, PPG is cheaper and widely available in smart devices, making it a desired alternative. In...

Full description

Bibliographic Details
Main Authors:	Almanifi, Omair Rashed Abdulwareth, Ismail, Mohd Khairuddin, Mohd Azraai, Mohd Razman, Musa, Rabiu Muazu, Anwar, P. P. Abdul Majeed
Format:	Article
Language:	English
Published:	Korean Institute of Communication Sciences 2022
Subjects:	T Technology (General) TA Engineering (General). Civil engineering (General) TJ Mechanical engineering and machinery TK Electrical engineering. Electronics Nuclear engineering TS Manufactures
Online Access:	http://umpir.ump.edu.my/id/eprint/35111/ http://umpir.ump.edu.my/id/eprint/35111/1/Human%20activity%20recognition%20based%20on%20wrist%20PPG%20via%20the%20ensemble%20method.pdf

Similar Items

Heartbeat murmurs detection in phonocardiogram recordings via transfer learning
by: Almanifi, Omair Rashed Abdulwareth, et al.
Published: (2022)

The classification of FTIR plastic bag spectra via label spreading and stacking
by: Almanifi, Omair Rashed Abdulwareth, et al.
Published: (2021)

The classification of heartbeat PCG signals via transfer learning
by: Almanifi, Omair Rashed Abdul Wareth, et al.
Published: (2021)

The classification of motor imagery response: an accuracy enhancement through the ensemble of random subspace k-NN
by: Rashid, Mamunur, et al.
Published: (2021)

Ergonomic study on wrist rehabilitation therapy (WRist-T) device
by: Nurul Ain, Abdul Shukor, et al.
Published: (2018)

The diagnosis of COVID-19 by means of transfer learning through X-ray images
by: Amiir Haamzah, Mohamed Ismail, et al.
Published: (2021)

The identification of significant features towards travel mode choice and its prediction via optimised random forest classifier : An evaluation for active commuting behavior
by: Nur Fahriza, Mohd Ali, et al.
Published: (2022)

Pallet-level classification using principal component analysis in ensemble learning model
by: Choong, Chun Sern, et al.
Published: (2020)

Kinematic variables deﬁning performance of basketball free-throw in novice children : An information gain and logistic regression analysis
by: Afrouzeh, Mohsen, et al.
Published: (2022)

Kinematic variables defining performance of basketball free-throw in novice children : An information gain and logistic regression analysis
by: Afrouzeh, Mohsen, et al.
Published: (2022)

An evaluation of different fast fourier transform - transfer learning pipelines for the classification of wink-based EEG signals
by: Jothi Letchumy, Mahendra Kumar, et al.
Published: (2020)

The classification of EEG-based wink signals: A CWT-Transfer Learning pipeline
by: Jothi Letchumy, Mahendra Kumar, et al.
Published: (2021)

Development of Anthro-Fitness Model for evaluating firefighter recruits’ performance readiness using machine learning
by: Borhanudin, Mohd Yusof @ Mohamed, et al.
Published: (2024)

The study of PPG and APG signals for biometric recognition
by: Sidek, Khairul Azami, et al.
Published: (2018)

Predicting serious injuries due to road traffic accidents in Malaysia by means of artificial neural network
by: Nurul Qastalani, Radzuan, et al.
Published: (2020)

The Classification of Skateboarding Tricks by Means of the Integration of Transfer Learning and Machine Learning Models
by: Muhammad Nur Aiman, Shapiee, et al.
Published: (2020)

The classification of skateboarding Trick Manoeuvres: A Frequency-Domain Evaluation
by: Ibrahim, Muhammad Ar Rahim, et al.
Published: (2020)

Match outcomes prediction of six top English Premier League clubs via machine learning technique
by: Rabiu Muazu, Musa, et al.
Published: (2018)

Forecasting daily travel mode choice of kuantan travellers by means of machine learning models
by: Nur Fahriza, Mohd Ali, et al.
Published: (2022)

Unsupervised Fertigation and Machine Learning for Crop Vegetation Parameter Analysis
by: Mohd Izzat, Mohd Rahman, et al.
Published: (2023)

Development of audio-visual speech recognition using deep-learning technique
by: How, Chun Kit, et al.
Published: (2022)

Mode choice prediction using machine learning technique for a door-to-door journey in Kuantan City
by: Nur Fahriza, Mohd Ali, et al.
Published: (2020)

The diagnosis of diabetic retinopathy : An evaluation of different classiﬁers with the inception V3 model as a feature extractor
by: Farhan Nabil, Mohd Noor, et al.
Published: (2022)

Epidemiology, Detection and Management of Cancer: An Overview
by: Mohd Hafiz, Arzmi, et al.
Published: (2023)

Development of wrist monitoring device to measure wrist range of motion
by: Fong, Jin Hiung, et al.
Published: (2020)

Ensemble Of Multiple Matchers For Finger Vein Recognition
by: Soh, Siang Loong
Published: (2017)

Alarm device for self-tracking of progression during wrist rehabilitation
by: Ramalingam, Mritha, et al.
Published: (2019)

The classification of electrooculography signals: A significant feature identification via mutual information
by: Hwa, Phua Jia, et al.
Published: (2022)

Occupational wrist postural assessment and monitoring system: development and initial validation
by: Radin Umar, Radin Zaid, et al.
Published: (2019)

Biometric recognition for twins inconsideration of age variability using PPG signals
by: Mohammed Nadzri, Nur Izzati, et al.
Published: (2018)

The classification of skateboarding tricks by means of the integration of transfer learning models and K-Nearest neighbors
by: Muhammad Nur Aiman, Shapiee, et al.
Published: (2022)

The Classification of Wink-Based EEG Signals: The Identification of Significant Time-Domain Features
by: Jothi Letchumy, Mahendra Kumar, et al.
Published: (2021)

The classification of heart murmurs: The identification of significant time domain features
by: Cheng, Wai Kit, et al.
Published: (2020)

Talent identification of potential archers through fitness and motor ability performance variables by means of artificial neural network
by: Zahari, Taha, et al.
Published: (2018)

The diagnosis of COVID-19 through X-ray images via transfer learning and fine-tuned dense layer on pipeline
by: Amiir Haamzah, Mohamed Ismail, et al.
Published: (2021)

Classification of high performance archers by means of bio-physiological performance variables via k-nearest neighbour classification model
by: Zahari, Taha, et al.
Published: (2018)

Stress recognition using photoplethysmogram (PPG) signal incorporating gender and age variability
by: Abd Halim, Noor Hafizah Azlin, et al.
Published: (2019)

Badminton smashing recognition through video performance by using deep learning
by: Yip, Zi Ying, et al.
Published: (2022)

A cluster analysis of identifying team and individual sports athlete based on anthropometric, health and skill related components
by: Noor Aishah, Kamarudin, et al.
Published: (2022)

Abnormal Pattern Detection In Ppg Signals Using Time Series Analysis
by: Siti Nur Hidayah, Mazelan
Published: (2022)