[HTML][HTML] Human activity recognition: Review, taxonomy and open challenges

MH Arshad, M Bilal, A Gani - Sensors, 2022‏ - mdpi.com
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 …

Human activity recognition using inertial, physiological and environmental sensors: A comprehensive survey

F Demrozi, G Pravadelli, A Bihorac, P Rashidi - IEEE access, 2020‏ - ieeexplore.ieee.org
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 …

Consequences of chronic diseases and other limitations associated with old age–a sco** 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 …

A public domain dataset for real-life human activity recognition using smartphone sensors

D Garcia-Gonzalez, D Rivero, E Fernandez-Blanco… - Sensors, 2020‏ - mdpi.com
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 …

[HTML][HTML] Human activity recognition with smartphone-integrated sensors: A survey

V Dentamaro, V Gattulli, D Impedovo… - Expert Systems with …, 2024‏ - Elsevier
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 …

A lightweight deep learning model for human activity recognition on edge devices

P Agarwal, M Alam - Procedia Computer Science, 2020‏ - Elsevier
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 …

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 …

AI-assisted detection of biomarkers by sensors and biosensors for early diagnosis and monitoring

T Wasilewski, W Kamysz, J Gębicki - Biosensors, 2024‏ - pmc.ncbi.nlm.nih.gov
The steady progress in consumer electronics, together with improvement in microflow
techniques, nanotechnology, and data processing, has led to implementation of cost …

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 …

A review of video-based human activity recognition: theory, methods and applications

TFN Bukht, H Rahman, M Shaheen, A Algarni… - Multimedia Tools and …, 2024‏ - Springer
Video-based human activity recognition (HAR) is an important task in many fields, such as
healthcare monitoring, video surveillance, and sports analysis. This review paper aims to …