Wearables for running gait analysis: A systematic review
Background Running gait assessment has traditionally been performed using subjective
observation or expensive laboratory-based objective technologies, such as three …
observation or expensive laboratory-based objective technologies, such as three …
A survey of human gait-based artificial intelligence applications
EJ Harris, IH Khoo, E Demircan - Frontiers in Robotics and AI, 2022 - frontiersin.org
We performed an electronic database search of published works from 2012 to mid-2021 that
focus on human gait studies and apply machine learning techniques. We identified six key …
focus on human gait studies and apply machine learning techniques. We identified six key …
Accurately and effectively predict the ACL force: Utilizing biomechanical landing pattern before and after-fatigue
Abstract Background and Objective As a fundamental exercise technique, landing can
commonly be associated with anterior cruciate ligament (ACL) injury, especially during after …
commonly be associated with anterior cruciate ligament (ACL) injury, especially during after …
A scoping review of portable sensing for out-of-lab anterior cruciate ligament injury prevention and rehabilitation
Anterior cruciate ligament (ACL) injury and ACL reconstruction (ACLR) surgery are common.
Laboratory-based biomechanical assessment can evaluate ACL injury risk and …
Laboratory-based biomechanical assessment can evaluate ACL injury risk and …
CNN-based estimation of sagittal plane walking and running biomechanics from measured and simulated inertial sensor data
Machine learning is a promising approach to evaluate human movement based on
wearable sensor data. A representative dataset for training data-driven models is crucial to …
wearable sensor data. A representative dataset for training data-driven models is crucial to …
[HTML][HTML] A comparison of three neural network approaches for estimating joint angles and moments from inertial measurement units
The application of artificial intelligence techniques to wearable sensor data may facilitate
accurate analysis outside of controlled laboratory settings—the holy grail for gait clinicians …
accurate analysis outside of controlled laboratory settings—the holy grail for gait clinicians …
Measuring biomechanical loads in team sports–from lab to field
J Verheul, NJ Nedergaard… - … and Medicine in …, 2020 - Taylor & Francis
The benefits of differentiating between the physiological and biomechanical load-response
pathways in football and other (team) sports have become increasingly recognised. In …
pathways in football and other (team) sports have become increasingly recognised. In …
Magnetic flexible sensor with tension and bending discriminating detection
Q Shu, Z Xu, S Liu, J Wu, H Deng, X Gong… - Chemical Engineering …, 2022 - Elsevier
The flexible wearable sensors with high sensitivity and stability provide wide potential in
artificial intelligence and human–machine interaction. However, dual-modal sensor with …
artificial intelligence and human–machine interaction. However, dual-modal sensor with …
Estimation of kinematics from inertial measurement units using a combined deep learning and optimization framework
The difficulty of estimating joint kinematics remains a critical barrier toward widespread use
of inertial measurement units in biomechanics. Traditional sensor-fusion filters are largely …
of inertial measurement units in biomechanics. Traditional sensor-fusion filters are largely …
The use of synthetic imu signals in the training of deep learning models significantly improves the accuracy of joint kinematic predictions
Gait analysis based on inertial sensors has become an effective method of quantifying
movement mechanics, such as joint kinematics and kinetics. Machine learning techniques …
movement mechanics, such as joint kinematics and kinetics. Machine learning techniques …