Surface EMG and intra-socket force measurement to control a prosthetic device

Joe Sanford, Rita Patterson, Dan Popa

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

4 Scopus citations


Surface electromyography (SEMG) has been shown to be a robust and reliable interaction method allowing for basic control of powered prosthetic devices. Research has shown a marked decrease in EMG-classification efficiency throughout activities of daily life due to socket shift and movement and fatigue as well as changes in degree of fit of the socket throughout the subject's lifetime. Users with the most severe levels of amputation require the most complex devices with the greatest number of degrees of freedom. Controlling complex dexterous devices with limited available inputs requires the addition of sensing and interaction modalities. However, the larger the amputation severity, the fewer viable SEMG sites are available as control inputs. Previous work reported the use of intra-socket pressure, as measured during wrist flexion and extension, and has shown that it is possible to control a powered prosthetic device with pressure sensors. In this paper, we present data correlations of SEMG data with intra-socket pressure data. Surface EMG sensors and force sensors were housed within a simulated prosthetic cuff fit to a healthy-limbed subject. EMG and intra-socket force data was collected from inside the cuff as a subject performed pre-defined grip motions with their dominant hand. Data fusion algorithms were explored and allowed a subject to use both intra-socket pressure and SEMG data as control inputs for a powered prosthetic device. This additional input modality allows for an improvement in input classification as well as information regarding socket fit through out activities of daily life.

Original languageEnglish
Title of host publicationNext-Generation Robotics II; and Machine Intelligence and Bio-inspired Computation
Subtitle of host publicationTheory and Applications IX
EditorsMisty Blowers, Muthu B. J. Wijesundara, Dan Popa
ISBN (Electronic)9781628416107
StatePublished - 2015
EventNext-Generation Robotics II; and Machine Intelligence and Bio-inspired Computation: Theory and Applications IX - Baltimore, United States
Duration: 21 Apr 201522 Apr 2015

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
ISSN (Print)0277-786X
ISSN (Electronic)1996-756X


OtherNext-Generation Robotics II; and Machine Intelligence and Bio-inspired Computation: Theory and Applications IX
Country/TerritoryUnited States


  • Assistive and Rehabilitation Robotics
  • Hand Biomechanics
  • Human Machine Interface
  • Physical Human Robot Interaction
  • Pressure Sensitive Robot Skin


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