Muscle Activity Sensing for Prosthesis Control and Human-Computer Interaction
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Biomedical Sensors".
Deadline for manuscript submissions: 31 October 2026 | Viewed by 2052
Special Issue Editors
Interests: muscle activity; electromyography; pattern recognition; prosthetics
Interests: bioimpedance; EMG signals; electromyography; myography; prosthetics
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Reliable detection and analysis of muscle contractions are of great importance both for medical purposes and for controlling electronic devices. Hand prostheses, for example, must be able to reliably detect and quantify muscle contractions in real time and control the corresponding mechanics. Real-time capability is also highly important in virtual reality applications. In addition, real-world applications require the monitoring of several muscles or muscle groups, so simultaneous multi-channel analyses are typically desired. This requires complex combinations of novel physiological sensors and signal processing chains. The recording of muscle contractions is typically based on the long-established method of electromyography (EMG), which has been significantly improved in recent years. In addition, there is growing research interest in alternative or complementary methods, such as mechanomyography (MMG), electrical impedance myography (EIM) and optical methods.
This Special Issue will present the latest advances in both instrumentation and signal analysis. Scientists are, therefore, invited to present their new measurement approaches from the field of basic research, new signal processing algorithms or new fields of applications.
Prof. Dr. Roman Kusche
Dr. Rim Barioul
Guest Editors
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Keywords
- electromyography (EMG)
- muscle activity
- physiological sensors
- signal processing
- prosthesis control
- human-computer interaction
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