Wearable multi-sensor data fusion approach for human activity recognition using machine learning algorithms

Wearable Inertial Measurement Units for Assessing Gait in Real-World Environments

(2020) David Renggli et al.   Frontiers in Physiology

Recognition of human activities for wellness management using a smartphone and a smartwatch: A boosting approach

(2020) Pratik Tarafdar et al.   DECISION SUPPORT SYSTEMS

Development of tool condition monitoring system in end milling process using wavelet features and Hoelder’s exponent with machine learning algorithms

(2020) T. Mohanraj et al.   MEASUREMENT

Action recognition using optimized deep autoencoder and CNN for surveillance data streams of non-stationary environments

(2019) Amin Ullah et al.   Future Generation Computer Systems-The International Journal of eScience

A survey on wearable sensor modality centred human activity recognition in health care

(2019) Yan Wang et al.   EXPERT SYSTEMS WITH APPLICATIONS

A light weight smartphone based human activity recognition system with high accuracy

(2019) Md Osman Gani et al.   JOURNAL OF NETWORK AND COMPUTER APPLICATIONS

Hierarchical syntactic models for human activity recognition through mobility traces

(2019) Enrico Casella et al.   Personal and Ubiquitous Computing

Real-time human activity recognition from accelerometer data using Convolutional Neural Networks

(2018) Andrey Ignatov   APPLIED SOFT COMPUTING

Robust Human Activity Recognition using smartwatches and smartphones

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

Wearable Computing for Internet of Things: A Discriminant Approach for Human Activity Recognition

(2018) Wei Lu et al.   IEEE Internet of Things Journal

Improving handwriting based gender classification using ensemble classifiers

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

Possibilistic activity recognition with uncertain observations to support medication adherence in an assisted ambient living setting

(2017) Patrice C. Roy et al.   KNOWLEDGE-BASED SYSTEMS

Application of empirical mode decomposition and artificial neural network for the classification of normal and epileptic EEG signals

(2016) Rafik Djemili et al.   Biocybernetics and Biomedical Engineering

Complex activity recognition using time series pattern dictionary learned from ubiquitous sensors

(2016) Li Liu et al.   INFORMATION SCIENCES

Mixed-kernel based weighted extreme learning machine for inertial sensor based human activity recognition with imbalanced dataset

(2016) Donghui Wu et al.   NEUROCOMPUTING

Human activity recognition using multisensor data fusion based on Reservoir Computing

(2016) Filippo Palumbo et al.   Journal of Ambient Intelligence and Smart Environments

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

(2015) Cagatay Catal et al.   APPLIED SOFT COMPUTING

Application of Entropy Measures on Intrinsic Mode Functions for the Automated Identification of Focal Electroencephalogram Signals

(2015) Rajeev Sharma et al.   Entropy

Human activity recognition using quasiperiodic time series collected from a single tri-axial accelerometer

(2015) Andrey D. Ignatov et al.   MULTIMEDIA TOOLS AND APPLICATIONS

Wavelet Domain Feature Extraction Scheme Based on Dominant Motor Unit Action Potential of EMG Signal for Neuromuscular Disease Classification

(2014) A. B. M. S. U. Doulah et al.   IEEE Transactions on Biomedical Circuits and Systems

Discrete-wavelet-transform-based noise removal and feature extraction for ECG signals

(2014) H.-Y. Lin et al.   IRBM

Hand, belt, pocket or bag: Practical activity tracking with mobile phones

(2013) Stephen A. Antos et al.   JOURNAL OF NEUROSCIENCE METHODS

Fault feature extraction of gearbox by using overcomplete rational dilation discrete wavelet transform on signals measured from vibration sensors

(2012) Binqiang Chen et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Training data selection with user’s physical characteristics data for acceleration-based activity modeling

(2011) Takuya Maekawa et al.   Personal and Ubiquitous Computing

Nearest Neighbor Classification of Remote Sensing Images With the Maximal Margin Principle

(2008) E. Blanzieri et al.   IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING