High-density electromyography for effective gesture-based control of physically assistive mobile manipulators
Abstract High-density electromyography (HDEMG) can detect myoelectric activity as control inputs to a variety of electronically-controlled devices. Furthermore, HDEMG sensors may be built into a variety of clothing, allowing for a non-intrusive myoelectric interface that is integrated into a user’s routine. In our work, we introduce an easily-producible HDEMG device that interfaces with the control of a mobile manipulator to perform a range of household and physically assistive tasks. Mobile manipulators can operate throughout the home and are applicable for a spectrum of assistive and daily tasks in the home. We evaluate the use of real-time myoelectric gesture recognition using our device to enable precise control over the intricate mobility and manipulation functionalities of an 8 degree-of-freedom mobile manipulator. Our evaluation, involving 13 participants engaging in challenging self-care and household activities, demonstrates the potential of our wearable HDEMG system to control a mobile manipulator in the home.
Authors
- Jehan Yang (ORCID: https://orcid.org/0000-0003-1537-8797)
- Douglas J. Weber (ORCID: https://orcid.org/0000-0002-9782-3497)
- Zackory Erickson (ORCID: https://orcid.org/0000-0002-6760-6213)
- Kent Shibata
Institutions
- Johns Hopkins University (US)
- Carnegie Mellon University (US)
Publication Details
- Journal
- npj Robotics
- Published
- 2025-01-27
- DOI
- https://doi.org/10.1038/s44182-025-00018-3
- Citations
- 7
- Primary Topic
- Muscle activation and electromyography studies
- Type
- article
- Field-Weighted Citation Impact
- 4.72
Funders
- National Science Foundation