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 …
Sport biomechanics applications using inertial, force, and EMG sensors: A literature overview
In the last few decades, a number of technological developments have advanced the spread
of wearable sensors for the assessment of human motion. These sensors have been also …
of wearable sensors for the assessment of human motion. These sensors have been also …
Accurate ambulatory gait analysis in walking and running using machine learning models
Wearable sensors have been proposed as alternatives to traditional laboratory equipment
for low-cost and portable real-time gait analysis in unconstrained environments. However …
for low-cost and portable real-time gait analysis in unconstrained environments. However …
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 …
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 …
Validity and reliability of inertial measurement units on lower extremity kinematics during running: A systematic review and meta-analysis
Abstract Background Inertial measurement units (IMUs) are useful in monitoring running and
alerting running-related injuries in various sports settings. However, the quantitative …
alerting running-related injuries in various sports settings. However, the quantitative …
Recent machine learning progress in lower limb running biomechanics with wearable technology: A systematic review
With the emergence of wearable technology and machine learning approaches, gait
monitoring in real-time is attracting interest from the sports biomechanics community. This …
monitoring in real-time is attracting interest from the sports biomechanics community. This …
Estimating running ground reaction forces from plantar pressure during graded running
Ground reaction forces (GRFs) describe how runners interact with their surroundings and
provide the basis for computing inverse dynamics. Wearable technology can predict time …
provide the basis for computing inverse dynamics. Wearable technology can predict time …
Deep learning in gait parameter prediction for OA and TKA patients wearing IMU sensors
Quantitative assessments of patient movement quality in osteoarthritis (OA), specifically
spatiotemporal gait parameters (STGPs), can provide in-depth insight into gait patterns …
spatiotemporal gait parameters (STGPs), can provide in-depth insight into gait patterns …
External workload indicators of muscle and kidney mechanical injury in endurance trail running
D Rojas-Valverde, B Sánchez-Ureña… - International Journal of …, 2019 - mdpi.com
Muscle and kidney injury in endurance athletes is worrying for health, and its relationship
with physical external workload (eWL) needs to be explored. This study aimed to analyze …
with physical external workload (eWL) needs to be explored. This study aimed to analyze …