Multi-sensor fusion based on multiple classifier systems for human activity identification

A general framework for sensor-based human activity recognition

(2018) Lukas Köping et al.   COMPUTERS IN BIOLOGY AND MEDICINE

Robust Human Activity Recognition using smartwatches and smartphones

(2018) Rubén San-Segundo et al.   ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE

Deep learning algorithms for human activity recognition using mobile and wearable sensor networks: State of the art and research challenges

(2018) Henry Friday Nweke et al.   EXPERT SYSTEMS WITH APPLICATIONS

Multi-view stacking for activity recognition with sound and accelerometer data

(2018) Enrique Garcia-Ceja et al.   Information Fusion

Inertial/magnetic sensors based pedestrian dead reckoning by means of multi-sensor fusion

(2018) Sen Qiu et al.   Information Fusion

Real-time activity monitoring with a wristband and a smartphone

(2018) Božidara Cvetković et al.   Information Fusion

Optimizing multi-sensor deployment via ensemble pruning for wearable activity recognition

(2018) Jingjing Cao et al.   Information Fusion

Classification of forensic autopsy reports through conceptual graph-based document representation model

(2018) Ghulam Mujtaba et al.   JOURNAL OF BIOMEDICAL INFORMATICS

GCHAR: An efficient Group-based Context—aware human activity recognition on smartphone

(2018) Liang Cao et al.   JOURNAL OF PARALLEL AND DISTRIBUTED COMPUTING

Two phase ensemble classifier for smartphone based human activity recognition independent of hardware configuration and usage behaviour

(2018) Jayita Saha et al.   MICROSYSTEM TECHNOLOGIES-MICRO-AND NANOSYSTEMS-INFORMATION STORAGE AND PROCESSING SYSTEMS

Approach for the Development of a Framework for the Identification of Activities of Daily Living Using Sensors in Mobile Devices

(2018) Ivan Pires et al.   SENSORS

Comparison of Feature Learning Methods for Human Activity Recognition Using Wearable Sensors

(2018) Frédéric Li et al.   SENSORS

Multi-View Stacking Ensemble for Power Consumption Anomaly Detection in the Context of Industrial Internet of Things

(2018) Zhiyou Ouyang et al.   IEEE Access

Complex Activity Recognition using Acceleration, Vital Sign, and Location Data

(2018) Liangying Peng et al.   IEEE TRANSACTIONS ON MOBILE COMPUTING

Data fusion and multiple classifier systems for human activity detection and health monitoring: Review and open research directions

(2018) Henry Friday Nweke et al.   Information Fusion

Improving handwriting based gender classification using ensemble classifiers

(2017) Mahreen Ahmed et al.   EXPERT SYSTEMS WITH APPLICATIONS

Detecting unseen falls from wearable devices using channel-wise ensemble of autoencoders

(2017) Shehroz S. Khan et al.   EXPERT SYSTEMS WITH APPLICATIONS

Cloud-based Activity-aaService cyber–physical framework for human activity monitoring in mobility

(2017) Raffaele Gravina et al.   Future Generation Computer Systems-The International Journal of eScience

A Survey on Activity Detection and Classification Using Wearable Sensors

(2017) Maria Cornacchia et al.   IEEE SENSORS JOURNAL

Hierarchical Complex Activity Representation and Recognition Using Topic Model and Classifier Level Fusion

(2017) Liangying Peng et al.   IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING

An ensemble approach to multi-view multi-instance learning

(2017) Alberto Cano   KNOWLEDGE-BASED SYSTEMS

Ensemble Methods for Classification of Physical Activities from Wrist Accelerometry

(2017) ALOK KUMAR CHOWDHURY et al.   MEDICINE AND SCIENCE IN SPORTS AND EXERCISE

SMSAD: a framework for spam message and spam account detection

(2017) Kayode Sakariyah Adewole et al.   MULTIMEDIA TOOLS AND APPLICATIONS

Detecting physical activity within lifelogs towards preventing obesity and aiding ambient assisted living

(2017) Chelsea Dobbins et al.   NEUROCOMPUTING

Predicting diabetes mellitus using SMOTE and ensemble machine learning approach: The Henry Ford ExercIse Testing (FIT) project

(2017) Manal Alghamdi et al.   PLoS One

A hierarchical method for human concurrent activity recognition using miniature inertial sensors

(2017) Ye Chen et al.   Sensor Review

Training Classifiers with Shadow Features for Sensor-Based Human Activity Recognition

(2017) Simon Fong et al.   SENSORS

Inertial Sensor-Based Robust Gait Analysis in Non-Hospital Settings for Neurological Disorders

(2017) Can Tunca et al.   SENSORS

A Comprehensive Analysis on Wearable Acceleration Sensors in Human Activity Recognition

(2017) Majid Janidarmian et al.   SENSORS

Learning multi-level features for sensor-based human action recognition

(2017) Yan Xu et al.   Pervasive and Mobile Computing

Improving Activity Recognition Accuracy in Ambient-Assisted Living Systems by Automated Feature Engineering

(2017) Eftim Zdravevski et al.   IEEE Access

Feature extraction for robust physical activity recognition

(2017) Jiadong Zhu et al.   Human-centric Computing and Information Sciences

Automatic ICD-10 multi-class classification of cause of death from plaintext autopsy reports through expert-driven feature selection

(2017) Ghulam Mujtaba et al.   PLoS One

Better than counting seconds: Identifying fallers among healthy elderly using fusion of accelerometer features and dual-task Timed Up and Go

(2017) Moacir Ponti et al.   PLoS One

Automatic machine-learning based identification of jogging periods from accelerometer measurements of adolescents under field conditions

(2017) Eftim Zdravevski et al.   PLoS One

Stacked ensemble combined with fuzzy matching for biomedical named entity recognition of diseases

(2016) Balu Bhasuran et al.   JOURNAL OF BIOMEDICAL INFORMATICS

A Mobile Application for Easy Design and Testing of Algorithms to Monitor Physical Activity in the Workplace

(2016) Susanna Spinsante et al.   Mobile Information Systems

Complex Human Activity Recognition Using Smartphone and Wrist-Worn Motion Sensors

(2016) Muhammad Shoaib et al.   SENSORS

Deep Convolutional and LSTM Recurrent Neural Networks for Multimodal Wearable Activity Recognition

(2016) Francisco Ordóñez et al.   SENSORS

Human Behavior Analysis by Means of Multimodal Context Mining

(2016) Oresti Banos et al.   SENSORS

Context-based ensemble method for human energy expenditure estimation

(2015) Hristijan Gjoreski et al.   APPLIED SOFT COMPUTING

On the use of ensemble of classifiers for accelerometer-based activity recognition

(2015) Cagatay Catal et al.   APPLIED SOFT COMPUTING

Design, implementation and validation of a novel open framework for agile development of mobile health applications

(2015) Oresti Banos et al.   Biomedical Engineering Online

Power-Aware Computing in Wearable Sensor Networks: An Optimal Feature Selection

(2015) Hassan Ghasemzadeh et al.   IEEE TRANSACTIONS ON MOBILE COMPUTING

A survey of depth and inertial sensor fusion for human action recognition

(2015) Chen Chen et al.   MULTIMEDIA TOOLS AND APPLICATIONS

A Survey of Online Activity Recognition Using Mobile Phones

(2015) Muhammad Shoaib et al.   SENSORS

A tutorial on human activity recognition using body-worn inertial sensors

(2014) Andreas Bulling et al.   ACM COMPUTING SURVEYS

A Genetic Algorithm-based Classifier Ensemble Optimization for Activity Recognition in Smart Homes

(2014)   KSII Transactions on Internet and Information Systems

Multi-sensor Fusion Based on Asymmetric Decision Weighting for Robust Activity Recognition

(2014) Oresti Banos et al.   NEURAL PROCESSING LETTERS

Dealing with the Effects of Sensor Displacement in Wearable Activity Recognition

(2014) Oresti Banos et al.   SENSORS

Clustering-Based Ensemble Learning for Activity Recognition in Smart Homes

(2014) Anna Jurek et al.   SENSORS

Window Size Impact in Human Activity Recognition

(2014) Oresti Banos et al.   SENSORS

Context-Aware Personal Navigation Using Embedded Sensor Fusion in Smartphones

(2014) Sara Saeedi et al.   SENSORS

Fusion of Smartphone Motion Sensors for Physical Activity Recognition

(2014) Muhammad Shoaib et al.   SENSORS

Dempster–Shafer theory-based human activity recognition in smart home environments

(2013) Faouzi Sebbak et al.   Annals of Telecommunications

Hierarchical, Multi-Sensor Based Classification of Daily Life Activities: Comparison with State-of-the-Art Algorithms Using a Benchmark Dataset

(2013) Heike Leutheuser et al.   PLoS One

On the Use of Sensor Fusion to Reduce the Impact of Rotational and Additive Noise in Human Activity Recognition

(2012) Oresti Banos et al.   SENSORS

Multisensor Fusion and Integration: Theories, Applications, and its Perspectives

(2011) Ren C. Luo et al.   IEEE SENSORS JOURNAL

Centinela: A human activity recognition system based on acceleration and vital sign data

(2011) Óscar D. Lara et al.   Pervasive and Mobile Computing

Sensor data fusion for activity monitoring in the PERSONA ambient assisted living project

(2011) Michele Amoretti et al.   Journal of Ambient Intelligence and Humanized Computing

Preprocessing techniques for context recognition from accelerometer data

(2010) Davide Figo et al.   Personal and Ubiquitous Computing

Activity identification using body-mounted sensors—a review of classification techniques

(2009) Stephen J Preece et al.   PHYSIOLOGICAL MEASUREMENT

An Algorithm of Mobile Sensors Data Fusion Tracking for Wireless Sensor Networks

(2009) Joy Iong-Zong Chen   WIRELESS PERSONAL COMMUNICATIONS