Comparison of Cognitive Workload Assessment Techniques in EMG-based Prosthetic Device Studies
Author:
Funder
National Science Foundation
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9282733/9282811/09283229.pdf?arnumber=9283229
Cited by 5 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. Brainwaves in the Cloud: Cognitive Workload Monitoring Using Deep Gated Neural Network and Industrial Internet of Things;Applied Sciences;2024-07-03
2. Cognitive Workload Classification in Industry 5.0 Applications: Electroencephalography-Based Bi-Directional Gated Network Approach;Electronics;2023-09-23
3. Cognitive Workload Classification of Upper-limb Prosthetic Devices;2022 IEEE 3rd International Conference on Human-Machine Systems (ICHMS);2022-11-17
4. Cognitive Workload Assessment of Prosthetic Devices: A Review of Literature and Meta-Analysis;IEEE Transactions on Human-Machine Systems;2022-04
5. Measuring mental workload in assistive wearable devices: a review;Journal of NeuroEngineering and Rehabilitation;2021-11-07
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