Development of Human Action Feature Recognition Using Sensors
نویسندگان
چکیده
منابع مشابه
Dynamic Feature Description in Human Action Recognition
Dynamic feature description in human action recognition Ruoyun Gao ii Acknowledgement I wish to thank all those who helped me. Without them, I could not have completed this project. Firstly, I wish to express my deepest gratitude to Dr. Michael S. Lew for his valuable suggestions and unwavering support during my research project and graduation project. Without his encouragement and trust, I cou...
متن کاملHuman Action Recognition Using Global Point Feature Histograms and Action Shapes
This article investigates the recognition of human actions from 3D point clouds that encode the motions of people acting in sensor-distributed indoor environments. Data streams are time-sequences of silhouettes extracted from cameras in the environment. From the 2D silhouette contours we generate space-time streams by continuously aligning and stacking the contours along the time axis as third ...
متن کاملPhysical Human Activity Recognition Using Wearable Sensors
This paper presents a review of different classification techniques used to recognize human activities from wearable inertial sensor data. Three inertial sensor units were used in this study and were worn by healthy subjects at key points of upper/lower body limbs (chest, right thigh and left ankle). Three main steps describe the activity recognition process: sensors' placement, data pre-proces...
متن کاملHuman Activity Recognition Using Smartphone Sensors
Smartphones are quickly becoming a ubiquitous part of life in the Western world. Their embedded sensors have the ability to record a significant amount of data about peoples’ movement. Many smartphone applications already use that data to estimate basic fitness statistics, such as daily step count. However, the simplistic metrics that these applications produce are a poor method of assessing a ...
متن کاملComparison of Feature Learning Methods for Human Activity Recognition Using Wearable Sensors
Getting a good feature representation of data is paramount for Human Activity Recognition (HAR) using wearable sensors. An increasing number of feature learning approaches-in particular deep-learning based-have been proposed to extract an effective feature representation by analyzing large amounts of data. However, getting an objective interpretation of their performances faces two problems: th...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Information Technology Journal
سال: 2022
ISSN: ['1812-5638', '1812-5646']
DOI: https://doi.org/10.3923/itj.2022.8.13