New machine learning approaches for real-life human activity recognition using smartphone sensor-based data-Reference-Cited by-同舟云学术

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New machine learning approaches for real-life human activity recognition using smartphone sensor-based data

Published:2023-02 Issue: Volume:262 Page:110260
ISSN:0950-7051
Container-title:Knowledge-Based Systems
language:en
Short-container-title:Knowledge-Based Systems

Author:

Garcia-Gonzalez Daniel^ORCID,Rivero Daniel,Fernandez-Blanco Enrique,Luaces Miguel R.^ORCID

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems and Management,Management Information Systems,Software

Reference59 articles.

1. Human activity recognition and pattern discovery;Kim;IEEE Pervasive Comput.,2009

2. Human activity recognition from 3d data: A review;Aggarwal;Pattern Recognit. Lett.,2014

3. Cross-subject transfer learning in human activity recognition systems using generative adversarial networks;Soleimani;Neurocomputing,2021

4. Accelerometer-based human activity recognition in smartphones for healthcare services;Torres-Huitzil,2015

5. Sensor-based human activity recognition for smart healthcare: A semi-supervised machine learning;Zahin,2019

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1. Towards Flexible and Low-Power Wireless Smart Sensors: Reconfigurable Analog-to-Feature Conversion for Healthcare Applications;Sensors;2024-02-03

2. A Wearable Inertial Sensor Approach for Locomotion and Localization Recognition on Physical Activity;Sensors;2024-01-23

3. Comparative performance of machine learning models for the classification of human gait;Biomedical Physics & Engineering Express;2024-01-04

4. Classification of human activities by smart device measurements;Communications Faculty of Sciences University of Ankara Series A2-A3 Physical Sciences and Engineering;2023-12-29

5. Deep learning models for real-life human activity recognition from smartphone sensor data;Internet of Things;2023-12

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