Cognitive Workload Classification of Upper-limb Prosthetic Devices

Author:

Park Junho1,Berman Joseph2,Dodson Albert2,Liu Yunmei3,Matthew Armstrong4,Huang He2,Kaber David3,Ruiz Jaime5,Zahabi Maryam1

Affiliation:

1. Texas A&M University,Wm Michael Barnes ’64,Department of Industrial & Systems Engineering,College Station,TX,USA

2. North Carolina State University and University of North Carolina at Chapel Hill,Joint department of Biomedical Engineering,Raleigh,NC,USA

3. University of Florida,Department of Industrial and Systems Engineering,Gainesville,FL,USA

4. Texas A&M University,Intercollegiate School of Engineering Medicine,Houston,TX,USA

5. University of Florida,Department of Computer & Information Science & Engineering,Gainesville,FL,USA

Funder

National Science Foundation

Publisher

IEEE

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Cognitive Workload and Usability of Virtual Reality Simulation for Prosthesis Training;2023 IEEE International Conference on Systems, Man, and Cybernetics (SMC);2023-10-01

2. Assessing workload in using electromyography (EMG)-based prostheses;Ergonomics;2023-06-12

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