Zobrazeno 1 - 10
of 82
pro vyhledávání: '"Mark C. Schall"'
Publikováno v:
Sensors, Vol 24, Iss 17, p 5673 (2024)
A common challenge for exoskeleton control is discerning operator intent to provide seamless actuation of the device with the operator. One way to accomplish this is with joint angle estimation algorithms and multiple sensors on the human–machine s
Externí odkaz:
https://doaj.org/article/7b3b34828eb748f58c32cbd485a80075
Publikováno v:
Sensors, Vol 24, Iss 11, p 3657 (2024)
The use of wearable sensors, such as inertial measurement units (IMUs), and machine learning for human intent recognition in health-related areas has grown considerably. However, there is limited research exploring how IMU quantity and placement affe
Externí odkaz:
https://doaj.org/article/1bc1763872b547d084d59af4252224a7
Publikováno v:
Sensors, Vol 24, Iss 6, p 1941 (2024)
This study assesses the agreement of compressive and shear force estimates at the L5-S1 joint using inertial motion capture (IMC) within a musculoskeletal simulation model during manual lifting tasks, compared against a top-down optical motion captur
Externí odkaz:
https://doaj.org/article/f06c3847f7bf4c3b8818c28ea1f3bad9
Publikováno v:
Sensors, Vol 23, Iss 16, p 7053 (2023)
Joint angles of the lower extremities have been calculated using gyroscope and accelerometer measurements from inertial measurement units (IMUs) without sensor drift by leveraging kinematic constraints. However, it is unknown whether these methods ar
Externí odkaz:
https://doaj.org/article/0ff67723b3694892b429bbedd79ab508
Publikováno v:
Sensors, Vol 21, Iss 11, p 3622 (2021)
Electromyography (EMG) is commonly used to measure electrical activity of the skeletal muscles. As exoskeleton technology advances, these signals may be used to predict human intent for control purposes. This study used an artificial neural network t
Externí odkaz:
https://doaj.org/article/44ba6a4e05ed41d593896cee47a719d8
Publikováno v:
Journal of Occupational and Environmental Hygiene. 19:501-508
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d8a59a7f64f9b7e9ec079dc697074eb4
https://doi.org/10.1080/15459624.2022.2100407
https://doi.org/10.1080/15459624.2022.2100407
Autor:
Dania Bani Hani, Sean Gallagher, Mark C. Schall, Richard F. Sesek, Rong Huangfu, Anjaneya Bandekar
Publikováno v:
Proceedings of the Human Factors and Ergonomics Society Annual Meeting. 65:710-714
Evidence suggests that musculoskeletal disorders (MSDs) may be the result of a fatigue failure process in musculoskeletal tissues. Recently risk assessment tools using fatigue failure principles have been developed to evaluate risk of low back disord
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b64cd9e460975edc5c9cfd3796e319aa
https://doi.org/10.1177/1071181321651194
https://doi.org/10.1177/1071181321651194
Publikováno v:
Applied Ergonomics. 109:103981
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::efcc1b9c80aed99edeb8207035c845ae
https://doi.org/10.1016/j.apergo.2023.103981
https://doi.org/10.1016/j.apergo.2023.103981
Autor:
Mark C. Schall, Jesse S. Michel
Publikováno v:
Proceedings of the Human Factors and Ergonomics Society Annual Meeting. 64:900-904
Workplace participatory ergonomics (PE) programs may foster the prevention of injuries and illnesses as well as promote healthier behaviors and productivity among employees. Facilitating leadership has been identified as a critical component to the i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7ad605d40fbbfd6350c6c59a0a02c441
https://doi.org/10.1177/1071181320641215
https://doi.org/10.1177/1071181320641215
Autor:
Sylvie Mrug, Brent A. Ponce, Mark C. Schall, James W. Galbraith, Benjamin McManus, Despina Stavrinos, John R. Porterfield, Karen Heaton
Publikováno v:
The American Journal of Surgery. 220:83-89
Introduction Residents may differentially experience high stress and poor sleep across multiple post-graduate years (PGYs), negatively affecting safety. This study characterized sleep and stress among medical and surgical residents across multiple PG
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cd326c6fbf3262b2f8adb9d51e6b3692
https://doi.org/10.1016/j.amjsurg.2019.10.049
https://doi.org/10.1016/j.amjsurg.2019.10.049