Lora A. Cavuoto, Ph.D.
Affiliations: | 2012 | Virginia Polytechnic Institute and State University, Blacksburg, VA, United States |
Area:
Industrial EngineeringGoogle:
"Lora Cavuoto"Parents
Sign in to add mentor| Maury A. Nussbaum | grad student | 2012 | Virginia Tech | |
| (Evaluating obesity-related differences in upper extremity and trunk muscular capacity.) | ||||
BETA: Related publications
See more...
Publications
|
You can help our author matching system! If you notice any publications incorrectly attributed to this author, please sign in and mark matches as correct or incorrect. |
| Hajifar S, Sun H, Megahed FM, et al. (2020) A forecasting framework for predicting perceived fatigue: Using time series methods to forecast ratings of perceived exertion with features from wearable sensors. Applied Ergonomics. 90: 103262 |
| Maman ZS, Chen Y, Baghdadi A, et al. (2020) A data analytic framework for physical fatigue management using wearable sensors Expert Systems With Applications. 155: 113405 |
| Cavuoto LA, Pajoutan M, Mehta RK. (2019) Reliability analyses and values of isometric shoulder flexion and trunk extension strengths stratified by body mass index. Plos One. 14: e0219090 |
| Ghesmaty Sangachin M, Cavuoto LA, Wang Y. (2018) Use of various obesity measurement and classification methods in occupational safety and health research: a systematic review of the literature. Bmc Obesity. 5: 28 |
| Baghdadi A, Megahed FM, Esfahani ET, et al. (2018) A machine learning approach to detect changes in gait parameters following a fatiguing occupational task. Ergonomics. 1-21 |
| Lu L, Megahed FM, Sesek RF, et al. (2017) A survey of the prevalence of fatigue, its precursors and individual coping mechanisms among U.S. manufacturing workers. Applied Ergonomics. 65: 139-151 |
| Pajoutan M, Ghesmaty Sangachin M, Cavuoto LA. (2017) Central and peripheral fatigue development in the shoulder muscle with obesity during an isometric endurance task. Bmc Musculoskeletal Disorders. 18: 314 |
| Pajoutan M, Cavuoto LA, Mehta RK. (2017) Testing the efficacy of existing force-endurance models to account for the prevalence of obesity in the workforce. Journal of Occupational and Environmental Hygiene. 0 |
| Sedighi Maman Z, Alamdar Yazdi MA, Cavuoto LA, et al. (2017) A data-driven approach to modeling physical fatigue in the workplace using wearable sensors. Applied Ergonomics |
| Lin F, Song C, Xu X, et al. (2017) Patient handling activity recognition through pressure-map manifold learning using a footwear sensor Smart Health. 77-92 |