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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.

Details

Title
High-density electromyography for effective gesture-based control of physically assistive mobile manipulators
Author
Yang, Jehan 1 ; Shibata, Kent 2 ; Weber, Douglas 1 ; Erickson, Zackory 1 

 Carnegie Mellon University, Pittsburgh, USA (GRID:grid.147455.6) (ISNI:0000 0001 2097 0344) 
 Carnegie Mellon University, Pittsburgh, USA (GRID:grid.147455.6) (ISNI:0000 0001 2097 0344); Johns Hopkins University, Baltimore, USA (GRID:grid.21107.35) (ISNI:0000 0001 2171 9311) 
Pages
2
Publication year
2025
Publication date
Dec 2025
Publisher
Springer Nature B.V.
e-ISSN
27314278
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
3225864845
Copyright
Copyright Springer Nature B.V. Dec 2025