[HTML][HTML] Latest research trends in fall detection and prevention using machine learning: A systematic review
Falls are unusual actions that cause a significant health risk among older people. The
growing percentage of people of old age requires urgent development of fall detection and …
growing percentage of people of old age requires urgent development of fall detection and …
[HTML][HTML] Wearable sensors and smart devices to monitor rehabilitation parameters and sports performance: an overview
A quantitative evaluation of kinetic parameters, the joint's range of motion, heart rate, and
breathing rate, can be employed in sports performance tracking and rehabilitation …
breathing rate, can be employed in sports performance tracking and rehabilitation …
Pattern identification of different human joints for different human walking styles using inertial measurement unit (IMU) sensor
A bipedal walking robot is a kind of humanoid robot. It is suppose to mimics human behavior
and designed to perform human specific tasks. Currently, humanoid robots are not capable …
and designed to perform human specific tasks. Currently, humanoid robots are not capable …
A comprehensive survey on gait analysis: History, parameters, approaches, pose estimation, and future work
Human gait is a periodic motion of body segments—the analysis of motion and related
studies is termed gait analysis. Gait Analysis has gained much popularity because of its …
studies is termed gait analysis. Gait Analysis has gained much popularity because of its …
Artificial intelligence and machine learning in spine research
F Galbusera, G Casaroli, T Bassani - JOR spine, 2019 - Wiley Online Library
Artificial intelligence (AI) and machine learning (ML) techniques are revolutionizing several
industrial and research fields like computer vision, autonomous driving, natural language …
industrial and research fields like computer vision, autonomous driving, natural language …
Latest research trends in gait analysis using wearable sensors and machine learning: A systematic review
Gait is the locomotion attained through the movement of limbs and gait analysis examines
the patterns (normal/abnormal) depending on the gait cycle. It contributes to the …
the patterns (normal/abnormal) depending on the gait cycle. It contributes to the …
A multilevel paradigm for deep convolutional neural network features selection with an application to human gait recognition
Human gait recognition (HGR) shows high importance in the area of video surveillance due
to remote access and security threats. HGR is a technique commonly used for the …
to remote access and security threats. HGR is a technique commonly used for the …
CASIA-E: a large comprehensive dataset for gait recognition
Gait recognition plays a special role in visual surveillance due to its unique advantage, eg,
long-distance, cross-view and non-cooperative recognition. However, it has not yet been …
long-distance, cross-view and non-cooperative recognition. However, it has not yet been …
Real-time gait biometrics for surveillance applications: A review
Deep learning (DL) pipelines have evolved for over a decade now and are efficient at
solving many challenging problems of image and signal processing applications. Designing …
solving many challenging problems of image and signal processing applications. Designing …
[HTML][HTML] DeTrAs: deep learning-based healthcare framework for IoT-based assistance of Alzheimer patients
Healthcare 4.0 paradigm aims at realization of data-driven and patient-centric health
systems wherein advanced sensors can be deployed to provide personalized assistance …
systems wherein advanced sensors can be deployed to provide personalized assistance …