Human activity recognition using inertial, physiological and environmental sensors: A comprehensive survey
In the last decade, Human Activity Recognition (HAR) has become a vibrant research area,
especially due to the spread of electronic devices such as smartphones, smartwatches and …
especially due to the spread of electronic devices such as smartphones, smartwatches and …
Human activity recognition: Review, taxonomy and open challenges
Nowadays, Human Activity Recognition (HAR) is being widely used in a variety of domains,
and vision and sensor-based data enable cutting-edge technologies to detect, recognize …
and vision and sensor-based data enable cutting-edge technologies to detect, recognize …
Consequences of chronic diseases and other limitations associated with old age–a scoping review
P Maresova, E Javanmardi, S Barakovic… - BMC public health, 2019 - Springer
Background The phenomenon of the increasing number of ageing people in the world is
arguably the most significant economic, health and social challenge that we face today …
arguably the most significant economic, health and social challenge that we face today …
A public domain dataset for real-life human activity recognition using smartphone sensors
In recent years, human activity recognition has become a hot topic inside the scientific
community. The reason to be under the spotlight is its direct application in multiple domains …
community. The reason to be under the spotlight is its direct application in multiple domains …
A lightweight deep learning model for human activity recognition on edge devices
Abstract Human Activity Recognition (HAR) using wearable and mobile sensors has gained
momentum in last few years, in various fields, such as, healthcare, surveillance, education …
momentum in last few years, in various fields, such as, healthcare, surveillance, education …
Analyzing the effectiveness and contribution of each axis of tri-axial accelerometer sensor for accurate activity recognition
AR Javed, MU Sarwar, S Khan, C Iwendi, M Mittal… - Sensors, 2020 - mdpi.com
Recognizing human physical activities from streaming smartphone sensor readings is
essential for the successful realization of a smart environment. Physical activity recognition …
essential for the successful realization of a smart environment. Physical activity recognition …
Human daily activity recognition performed using wearable inertial sensors combined with deep learning algorithms
CT Yen, JX Liao, YK Huang - Ieee Access, 2020 - ieeexplore.ieee.org
This study proposed a wearable device capable of recognizing six human daily activities
(walking, walking upstairs, walking downstairs, sitting, standing, and lying) through a deep …
(walking, walking upstairs, walking downstairs, sitting, standing, and lying) through a deep …
Enhancing human activity recognition using deep learning and time series augmented data
Human activity recognition is concerned with detecting different types of human movements
and actions using data gathered from various types of sensors. Deep learning approaches …
and actions using data gathered from various types of sensors. Deep learning approaches …
Real-time in-vehicle air quality monitoring system using machine learning prediction algorithm
This paper presents the development of a real-time cloud-based in-vehicle air quality
monitoring system that enables the prediction of the current and future cabin air quality. The …
monitoring system that enables the prediction of the current and future cabin air quality. The …
[HTML][HTML] Human activity recognition with smartphone-integrated sensors: A survey
Abstract Human Activity Recognition (HAR) is an essential area of research related to the
ability of smartphones to retrieve information through embedded sensors and recognize the …
ability of smartphones to retrieve information through embedded sensors and recognize the …