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.

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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

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article

High-density electromyography for effective gesture-based control of physically assistive mobile manipulators

Jehan Yang, Douglas J. Weber, Zackory Erickson, Kent Shibata
7 citations
npj Robotics
Muscle activation and electromyography studies
4.72
article

High-density electromyography for effective gesture-based control of physically assistive mobile manipulators

Jehan Yang, Douglas J. Weber, Zackory Erickson, Kent Shibata
article en
7 citations

Abstract

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.

npj RoboticsVol. 3(1)
Johns Hopkins University (US), Carnegie Mellon University (US)
National Science Foundation
Openalex Percentile: Top 6%
Muscle activation and electromyography studies
4.72
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