Benefits of IMU-based wearables in sports medicine: Narrative review
JS Arlotti, WO Carroll, Y Afifi… - … of Kinesiology and …, 2022 - journals.aiac.org.au
Background: Inertial Measurement Unit (IMU) based wearables have been the focus of
many recent sports medicine research efforts. Objective: The goal of this narrative-driven …
many recent sports medicine research efforts. Objective: The goal of this narrative-driven …
Inertial‐Based Human Motion Capture: A Technical Summary of Current Processing Methodologies for Spatiotemporal and Kinematic Measures
BR Hindle, JWL Keogh… - Applied Bionics and …, 2021 - Wiley Online Library
Inertial‐based motion capture (IMC) has been suggested to overcome many of the
limitations of traditional motion capture systems. The validity of IMC is, however, suggested …
limitations of traditional motion capture systems. The validity of IMC is, however, suggested …
Reliability and validity analysis of MediaPipe-based measurement system for some human rehabilitation motions
The many epidemics that the world is witnessing necessitate the use of telehealth.
Develo** a website for telerehabilitation follow-up is appealing. Furthermore, the patient …
Develo** a website for telerehabilitation follow-up is appealing. Furthermore, the patient …
Rehabilitation and return to sport assessment after anterior cruciate ligament injury: quantifying joint kinematics during complex high-speed tasks through wearable …
The aim of the present study was to quantify joint kinematics through a wearable sensor
system in multidirectional high-speed complex movements used in a protocol for …
system in multidirectional high-speed complex movements used in a protocol for …
Validation of the Perception Neuron system for full-body motion capture
Recent advancements in Inertial Measurement Units (IMUs) offers the possibility of its use as
a cost effective and portable alternative to traditional optoelectronic motion capture systems …
a cost effective and portable alternative to traditional optoelectronic motion capture systems …
Predicting knee joint kinematics from wearable sensor data in people with knee osteoarthritis and clinical considerations for future machine learning models
Deep learning models developed to predict knee joint kinematics are usually trained on
inertial measurement unit (IMU) data from healthy people and only for the activity of walking …
inertial measurement unit (IMU) data from healthy people and only for the activity of walking …
Mocapose: Motion capturing with textile-integrated capacitive sensors in loose-fitting smart garments
B Zhou, D Geissler, M Faulhaber, CE Gleiss… - Proceedings of the …, 2023 - dl.acm.org
We present MoCaPose, a novel wearable motion capturing (MoCap) approach to
continuously track the wearer's upper body's dynamic poses through multi-channel …
continuously track the wearer's upper body's dynamic poses through multi-channel …
[HTML][HTML] Concurrent validation of the Xsens IMU system of lower-body kinematics in jump-landing and change-of-direction tasks
EM Nijmeijer, P Heuvelmans, R Bolt, A Gokeler… - Journal of …, 2023 - Elsevier
Inertial measurement units (IMUs) allow for measurements of kinematic movements outside
the laboratory, persevering the athlete-environment relationship. To use IMUs in a sport …
the laboratory, persevering the athlete-environment relationship. To use IMUs in a sport …
Validation of an IMU suit for military-based tasks
Investigating the effects of load carriage on military soldiers using optical motion capture is
challenging. However, inertial measurement units (IMUs) provide a promising alternative …
challenging. However, inertial measurement units (IMUs) provide a promising alternative …
A comprehensive analysis of the validity and reliability of the perception neuron studio for upper-body motion capture
The Perception Neuron Studio (PNS) is a cost-effective and widely used inertial motion
capture system. However, a comprehensive analysis of its upper-body motion capture …
capture system. However, a comprehensive analysis of its upper-body motion capture …