4.7 Article

An Integration of feature extraction and Guided Regularized Random Forest feature selection for Smartphone based Human Activity Recognition

Related references

Note: Only part of the references are listed.
Article

Feature fusion using deep learning for smartphone based human activity recognition

Dipanwita Thakur et al.

International Journal of Information Technology (Singapore) (2021)

Article Computer Science, Artificial Intelligence

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

Pratik Tarafdar et al.

Summary: Mobile health applications are powerful tools for activity-based wellness management. Utilizing multimodal sensors in smart devices, human activity can be tracked and context-aware wellness services delivered. Boosting algorithms show superior performance in human activity classification compared to traditional classifiers. Feature engineering compares the potential of smartphones and smartwatches in activity detection.

DECISION SUPPORT SYSTEMS (2021)

Article Computer Science, Artificial Intelligence

An efficient unsupervised feature selection procedure through feature clustering

Xuyang Yan et al.

PATTERN RECOGNITION LETTERS (2020)

Article Computer Science, Artificial Intelligence

A multimodal approach for human activity recognition based on skeleton and RGB data

Annalisa Franco et al.

PATTERN RECOGNITION LETTERS (2020)

Article Computer Science, Artificial Intelligence

Smartphone based human activity monitoring and recognition using ML and DL: a comprehensive survey

Dipanwita Thakur et al.

JOURNAL OF AMBIENT INTELLIGENCE AND HUMANIZED COMPUTING (2020)

Article Engineering, Electrical & Electronic

Smartphone Sensor-Based Human Activity Recognition Using Feature Fusion and Maximum Full a Posteriori

Zhenghua Chen et al.

IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT (2020)

Review Computer Science, Hardware & Architecture

A review and categorization of techniques on device-free human activity recognition

Zawar Hussain et al.

JOURNAL OF NETWORK AND COMPUTER APPLICATIONS (2020)

Article Automation & Control Systems

Robust human activity recognition using single accelerometer via wavelet energy spectrum features and ensemble feature selection

Yiming Tian et al.

SYSTEMS SCIENCE & CONTROL ENGINEERING (2020)

Article Automation & Control Systems

A Novel Ensemble ELM for Human Activity Recognition Using Smartphone Sensors

Zhenghua Chen et al.

IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS (2019)

Article Computer Science, Information Systems

Sparse representation based classification scheme for human activity recognition using smartphones

R. Jansi et al.

MULTIMEDIA TOOLS AND APPLICATIONS (2019)

Article Chemistry, Analytical

Human Physical Activity Recognition Using Smartphone Sensors

Robert-Andrei Voicu et al.

SENSORS (2019)

Article Computer Science, Information Systems

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

Henry Friday Nweke et al.

HUMAN-CENTRIC COMPUTING AND INFORMATION SCIENCES (2019)

Article Automation & Control Systems

Feature Selection for Activity Recognition from Smartphone Accelerometer Data

Juan C. Quiroz et al.

INTELLIGENT AUTOMATION AND SOFT COMPUTING (2018)

Article Biology

A general framework for sensor-based human activity recognition

Lukas Koeping et al.

COMPUTERS IN BIOLOGY AND MEDICINE (2018)

Article Computer Science, Theory & Methods

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

Mohammed Mehedi Hassan et al.

FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE (2018)

Article Engineering, Electrical & Electronic

Human Activity Classification in Smartphones Using Accelerometer and Gyroscope Sensors

Ankita Jain et al.

IEEE SENSORS JOURNAL (2018)

Article Computer Science, Information Systems

A novel chaotic map based compressive classification scheme for human activity recognition using a tri-axial accelerometer

R. Jansi et al.

MULTIMEDIA TOOLS AND APPLICATIONS (2018)

Article Computer Science, Information Systems

A correlation-based binary particle swarm optimization method for feature selection in human activity recognition

Huaijun Wang et al.

INTERNATIONAL JOURNAL OF DISTRIBUTED SENSOR NETWORKS (2018)

Article Engineering, Electrical & Electronic

Position-Based Feature Selection for Body Sensors regarding Daily Living Activity Recognition

Nhan Duc Nguyen et al.

JOURNAL OF SENSORS (2018)

Proceedings Paper Computer Science, Artificial Intelligence

Human Activity Recognition for Healthcare using Smartphones

Godwin Ogbuabor et al.

PROCEEDINGS OF 2018 10TH INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND COMPUTING (ICMLC 2018) (2018)

Article Computer Science, Artificial Intelligence

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

Chelsea Dobbins et al.

NEUROCOMPUTING (2017)

Article Computer Science, Information Systems

Feature extraction for robust physical activity recognition

Jiadong Zhu et al.

HUMAN-CENTRIC COMPUTING AND INFORMATION SCIENCES (2017)

Article Computer Science, Artificial Intelligence

A tribe competition-based genetic algorithm for feature selection in pattern classification

Benteng Ma et al.

APPLIED SOFT COMPUTING (2017)

Article Computer Science, Artificial Intelligence

Effects of dataset characteristics on the performance of feature selection techniques

Dijana Oreski et al.

APPLIED SOFT COMPUTING (2017)

Article Engineering, Electrical & Electronic

A Triaxial Accelerometer-Based Human Activity Recognition via EEMD-Based Features and Game-Theory-Based Feature Selection

Zhelong Wang et al.

IEEE SENSORS JOURNAL (2016)

Article Engineering, Electrical & Electronic

A Comparative Study on Human Activity Recognition Using Inertial Sensors in a Smartphone

Aiguo Wang et al.

IEEE SENSORS JOURNAL (2016)

Article Chemistry, Analytical

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

Muhammad Shoaib et al.

SENSORS (2016)

Article Engineering, Electrical & Electronic

Feature extraction from smartphone inertial signals for human activity segmentation

Ruben San-Segundo et al.

SIGNAL PROCESSING (2016)

Proceedings Paper Computer Science, Information Systems

Integrating features for accelerometer-based activity recognition

C. Berke Erdas et al.

7TH INTERNATIONAL CONFERENCE ON EMERGING UBIQUITOUS SYSTEMS AND PERVASIVE NETWORKS (EUSPN 2016)/THE 6TH INTERNATIONAL CONFERENCE ON CURRENT AND FUTURE TRENDS OF INFORMATION AND COMMUNICATION TECHNOLOGIES IN HEALTHCARE (ICTH-2016) (2016)

Article Engineering, Biomedical

Feature Selection and Activity Recognition System Using a Single Triaxial Accelerometer

Piyush Gupta et al.

IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING (2014)

Review Biochemical Research Methods

A review of feature selection techniques in bioinformatics

Yvan Saeys et al.

BIOINFORMATICS (2007)