Enhanced Human Activity Recognition Based on Smartphone Sensor Data Using Hybrid Feature Selection Model

Sensor Data Acquisition and Multimodal Sensor Fusion for Human Activity Recognition Using Deep Learning

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Robust Human Activity Recognition using smartwatches and smartphones

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A robust human activity recognition system using smartphone sensors and deep learning

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Human Activity Classification in Smartphones Using Accelerometer and Gyroscope Sensors

(2018) Ankita Jain et al.   IEEE SENSORS JOURNAL

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

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

Automatic Annotation for Human Activity Recognition in Free Living Using a Smartphone

(2018) Federico Cruciani et al.   SENSORS

Recent trends in machine learning for human activity recognition-A survey

(2018) Sreenivasan Ramasamy Ramamurthy et al.   Wiley Interdisciplinary Reviews-Data Mining and Knowledge Discovery

Human Daily and Sport Activity Recognition Using a Wearable Inertial Sensor Network

(2018) Yu-Liang Hsu et al.   IEEE Access

Performance Analysis of Smartphone-Sensor Behavior for Human Activity Recognition

(2017) Yufei Chen et al.   IEEE Access

Human activity recognition with smartphone sensors using deep learning neural networks

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A Hybrid Feature Selection Scheme for Reducing Diagnostic Performance Deterioration Caused by Outliers in Data-Driven Diagnostics

(2016) Myeongsu Kang et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

Dynamic detection of window starting positions and its implementation within an activity recognition framework

(2016) Qin Ni et al.   JOURNAL OF BIOMEDICAL INFORMATICS

Discriminant Feature Distribution Analysis-Based Hybrid Feature Selection for Online Bearing Fault Diagnosis in Induction Motors

(2016) Rashedul Islam et al.   Journal of Sensors

Characterizing Humans on Riemannian Manifolds

(2012) D. Tosato et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

View-Invariant Action Recognition Based on Artificial Neural Networks

(2012) A. Iosifidis et al.   IEEE Transactions on Neural Networks and Learning Systems

Identifying Types of Physical Activity With a Single Accelerometer: Evaluating Laboratory-trained Algorithms in Daily Life

(2011) I. C. Gyllensten et al.   IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING

Human action segmentation and recognition via motion and shape analysis

(2011) Ling Shao et al.   PATTERN RECOGNITION LETTERS

Activity-Aware Computing for Healthcare

(2008) Monica Tentori et al.   IEEE PERVASIVE COMPUTING

Human activity recognition in pervasive health-care: Supporting efficient remote collaboration

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