Deep gait recognition: A survey
A Sepas-Moghaddam, A Etemad - IEEE transactions on pattern …, 2022 - ieeexplore.ieee.org
Gait recognition is an appealing biometric modality which aims to identify individuals based
on the way they walk. Deep learning has reshaped the research landscape in this area …
on the way they walk. Deep learning has reshaped the research landscape in this area …
Present and future of gait assessment in clinical practice: Towards the application of novel trends and technologies
AA Hulleck, D Menoth Mohan, N Abdallah… - Frontiers in medical …, 2022 - frontiersin.org
Background Despite being available for more than three decades, quantitative gait analysis
remains largely associated with research institutions and not well leveraged in clinical …
remains largely associated with research institutions and not well leveraged in clinical …
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 …
Gait analysis in neurological populations: Progression in the use of wearables
Gait assessment is an essential tool for clinical applications not only to diagnose different
neurological conditions but also to monitor disease progression as it contributes to the …
neurological conditions but also to monitor disease progression as it contributes to the …
Estimation of gait mechanics based on simulated and measured IMU data using an artificial neural network
Enhancement of activity is one major topic related to the aging society. Therefore, it is
necessary to understand people's motion and identify possible risk factors during activity …
necessary to understand people's motion and identify possible risk factors during activity …
Deep ensemble learning approach for lower extremity activities recognition using wearable sensors
Human walking is a very challenging task and always requires rigorous practice. It is a
learning process that involves the complex coordination of the brain and lower limbs. The …
learning process that involves the complex coordination of the brain and lower limbs. The …
Stride segmentation of inertial sensor data using statistical methods for different walking activities
Human gait data can be collected using inertial measurement units (IMUs). An IMU is an
electronic device that uses an accelerometer and gyroscope to capture three-axial linear …
electronic device that uses an accelerometer and gyroscope to capture three-axial linear …
Implementation of wearable sensing technology for movement: pushing forward into the routine physical rehabilitation care field
While the promise of wearable sensor technology to transform physical rehabilitation has
been around for a number of years, the reality is that wearable sensor technology for the …
been around for a number of years, the reality is that wearable sensor technology for the …
A deep learning approach for gait event detection from a single Shank-Worn IMU: validation in healthy and neurological cohorts
Many algorithms use 3D accelerometer and/or gyroscope data from inertial measurement
unit (IMU) sensors to detect gait events (ie, initial and final foot contact). However, these …
unit (IMU) sensors to detect gait events (ie, initial and final foot contact). However, these …
An overview of human activity recognition using wearable sensors: Healthcare and artificial intelligence
With the rapid development of the internet of things (IoT) and artificial intelligence (AI)
technologies, human activity recognition (HAR) has been applied in a variety of domains …
technologies, human activity recognition (HAR) has been applied in a variety of domains …