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Updated: Jul 10, 2026
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Characterization of the Sense of Agency over the Actions of Neural-machine Interface-operated Prostheses
Published on: January 7, 2019
Affective state control for neuroprostheses.
T E Doyle1, Z Kucerovsky, A Ieta
1Department of Electrical and Computer Engineering, McMaster University, Hamilton, Ontario, Canada. tdoyle@ieee.org
Summary
This study introduces a novel brain-computer interface (BCI) for digital hearing aids. It uses affective states detected via electrophysiological responses to control the device, improving neuroprosthetic control.
Area of Science:
- Neuroscience
- Biomedical Engineering
- Human-Computer Interaction
Background:
- Brain-computer interfaces (BCI) have been researched since the 1940s for human augmentation and rehabilitation.
- Existing BCIs often require extensive training and high cognitive load, limiting practical applications.
- Current functional BCIs primarily focus on cursor control on computer screens.
Purpose of the Study:
- To propose an alternative BCI approach for controlling digital hearing aids.
- To investigate the use of electrophysiological responses to identify affective states for BCI control.
- To enhance neuroprosthetic control through autonomous speech signal modification.
Main Methods:
- Developed a novel BCI model for digital hearing aid control.
- Utilized electrophysiological response identification to detect affective states.
- Employed a support vector machine binary classifier for single-trial classification.
Main Results:
- Successfully demonstrated the efficacy of single-trial identification of affective states.
- Achieved autonomous modification of speech signals based on identified affective states.
- Reached a communication transfer rate of 240 bits/minute for hearing neuroprosthetic control.
Conclusions:
- Identified affective states via electrophysiological responses offer an enhanced method for hearing neuroprosthetic control.
- The proposed BCI model provides a more accessible and less cognitively demanding alternative to current BCI systems.
- This approach holds significant potential for improving the functionality and user experience of digital hearing aids.
