Feature extraction for robust physical activity recognition
This paper presents the development of a Human Activity Recognition (HAR) system that
uses a network of nine inertial measurement units situated in different body parts. Every unit …
uses a network of nine inertial measurement units situated in different body parts. Every unit …
Evaluation of supervised classification algorithms for human activity recognition with inertial sensors
The main aim of this work is to compare the performance of different algorithms for human
activity recognition by extracting various statistical time domain and frequency domain …
activity recognition by extracting various statistical time domain and frequency domain …
Physique-based human activity recognition using ensemble learning and smartphone sensors
Traditional methods of Human Activity Recognition (HAR) do not take into consideration
physical attributes of human subjects such as height, weight, gender etc. Thus, a particular …
physical attributes of human subjects such as height, weight, gender etc. Thus, a particular …
An efficient human activity recognition using hybrid features and transformer model
Human activity recognition is a challenging and active research topic in computer science
due to its applications in video surveillance, health monitoring, rehabilitation, human-robot …
due to its applications in video surveillance, health monitoring, rehabilitation, human-robot …
[图书][B] Human activity recognition in daily life and sports using inertial sensors
D Schuldhaus - 2019 - opus4.kobv.de
Human Activity Recognition (HAR) deals with the automatic recognition of physical activities
and plays a major role in the health and sports sector. Knowledge about the performed …
and plays a major role in the health and sports sector. Knowledge about the performed …
Human action recognition based on low-and high-level data from wearable inertial sensors
IH Lopez-Nava… - International Journal of …, 2019 - journals.sagepub.com
Human action recognition supported by highly accurate specialized systems, ambulatory
systems, or wireless sensor networks has a tremendous potential in the areas of healthcare …
systems, or wireless sensor networks has a tremendous potential in the areas of healthcare …
A survey on human activity recognition based on temporal signals of portable inertial sensors
R Elbasiony, W Gomaa - The International Conference on Advanced …, 2020 - Springer
In recent years, automatic human activity recognition has drawn much attention. On one
hand, this is due to the rapid proliferation and cost degradation of a wide variety of sensing …
hand, this is due to the rapid proliferation and cost degradation of a wide variety of sensing …
Feature fusion using deep learning for smartphone based human activity recognition
Identification of human physical activities is an active research area since long due to its
application in personalized health and fitness monitoring. The performance accuracy of …
application in personalized health and fitness monitoring. The performance accuracy of …
[Retracted] An Effective Approach for Human Activity Classification Using Feature Fusion and Machine Learning Methods
MJ Ibrahim, J Kainat, H AlSalman… - Applied Bionics and …, 2022 - Wiley Online Library
Recent advances in image processing and machine learning methods have greatly
enhanced the ability of object classification from images and videos in different applications …
enhanced the ability of object classification from images and videos in different applications …
Comparing supervised learning techniques on the task of physical activity recognition
A Dalton, G OLaighin - IEEE journal of biomedical and health …, 2012 - ieeexplore.ieee.org
The objective of this study was to compare the performance of base-level and meta-level
classifiers on the task of physical activity recognition. Five wireless kinematic sensors were …
classifiers on the task of physical activity recognition. Five wireless kinematic sensors were …