Leveraging mobile technology for public health promotion: A multidisciplinary perspective

JL Hicks, MA Boswell, T Althoff, AJ Crum… - Annual review of …, 2023 - annualreviews.org
Health behaviors are inextricably linked to health and well-being, yet issues such as
physical inactivity and insufficient sleep remain significant global public health problems …

Conversion of upper-limb inertial measurement unit data to joint angles: a systematic review

Z Fang, S Woodford, D Senanayake, D Ackland - Sensors, 2023 - mdpi.com
Inertial measurement units (IMUs) have become the mainstay in human motion evaluation
outside of the laboratory; however, quantification of 3-dimensional upper limb motion using …

OpenCap: Human movement dynamics from smartphone videos

SD Uhlrich, A Falisse, Ł Kidziński… - PLoS computational …, 2023 - journals.plos.org
Measures of human movement dynamics can predict outcomes like injury risk or
musculoskeletal disease progression. However, these measures are rarely quantified in …

OpenSense: An open-source toolbox for inertial-measurement-unit-based measurement of lower extremity kinematics over long durations

M Al Borno, J O'Day, V Ibarra, J Dunne, A Seth… - … of neuroengineering and …, 2022 - Springer
Background The ability to measure joint kinematics in natural environments over long
durations using inertial measurement units (IMUs) could enable at-home monitoring and …

[HTML][HTML] IMU-based motion capture system for rehabilitation applications: A systematic review

C Gu, W Lin, X He, L Zhang, M Zhang - Biomimetic Intelligence and …, 2023 - Elsevier
In recent years, the use of inertial measurement unit (IMU)-based motion capture (Mocap)
systems in rehabilitation has grown significantly. This paper aimed to provide an overview of …

Applications of wearable sensors in upper extremity MSK conditions: a scoping review

SM Zadeh, J MacDermid, J Johnson… - Journal of …, 2023 - Springer
Purpose This scoping review uniquely aims to map the current state of the literature on the
applications of wearable sensors in people with or at risk of developing upper extremity …

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 …

Ten steps to becoming a musculoskeletal simulation expert: a half-century of progress and outlook for the future

SD Uhlrich, TK Uchida, MR Lee, SL Delp - Journal of biomechanics, 2023 - Elsevier
Over the past half-century, musculoskeletal simulations have deepened our knowledge of
human and animal movement. This article outlines ten steps to becoming a musculoskeletal …

Effects of sliding window variation in the performance of acceleration-based human activity recognition using deep learning models

M Jaén-Vargas, KMR Leiva, F Fernandes… - PeerJ Computer …, 2022 - peerj.com
Deep learning (DL) models are very useful for human activity recognition (HAR); these
methods present better accuracy for HAR when compared to traditional, among other …

Human motion capture, reconstruction, and musculoskeletal analysis in real time

U Lugrís, M Pérez-Soto, F Michaud… - Multibody System …, 2024 - Springer
Optical motion capture is an essential tool for the study and analysis of human movement.
Currently, most manufacturers of motion-capture systems provide software applications for …