{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,24]],"date-time":"2026-09-24T23:30:27Z","timestamp":1790292627432,"version":"4.1.0"},"reference-count":51,"publisher":"IOP Publishing","issue":"4","license":[{"start":{"date-parts":[[2024,8,22]],"date-time":"2024-08-22T00:00:00Z","timestamp":1724284800000},"content-version":"vor","delay-in-days":21,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"},{"start":{"date-parts":[[2024,8,22]],"date-time":"2024-08-22T00:00:00Z","timestamp":1724284800000},"content-version":"tdm","delay-in-days":21,"URL":"https:\/\/iopscience.iop.org\/info\/page\/text-and-data-mining"}],"funder":[{"DOI":"10.13039\/501100000038","name":"Natural Sciences and Engineering Research Council of Canada","doi-asserted-by":"crossref","id":[{"id":"10.13039\/501100000038","id-type":"DOI","asserted-by":"crossref"}]}],"content-domain":{"domain":["iopscience.iop.org"],"crossmark-restriction":false},"short-container-title":["J. Neural Eng."],"published-print":{"date-parts":[[2024,8,1]]},"abstract":"<jats:title>Abstract<\/jats:title>\n               <jats:p>\n                  <jats:italic>Objective.<\/jats:italic> The use of electromyogram (EMG) signals recorded from the wrist is emerging as a desirable input modality for human\u2013machine interaction (HMI). Although forearm-based EMG has been used for decades in prosthetics, there has been comparatively little prior work evaluating the performance of wrist-based control, especially in online, user-in-the-loop studies. Furthermore, despite different motivating use cases for wrist-based control, research has mostly adopted legacy prosthesis control evaluation frameworks. <jats:italic>Approach.<\/jats:italic> Gaining inspiration from rhythm games and the Schmidt\u2019s law speed-accuracy tradeoff, this work proposes a new temporally constrained evaluation environment with a linearly increasing difficulty to compare the online usability of wrist and forearm EMG. Compared to the more commonly used Fitts\u2019 Law-style testing, the proposed environment may offer different insights for emerging use cases of EMG as it decouples the machine learning algorithm\u2019s performance from proportional control, is easily generalizable to different gesture sets, and enables the extraction of a wide set of usability metrics that describe a users ability to successfully accomplish a task at a certain time with different levels of induced stress. <jats:italic>Main results.<\/jats:italic> The results suggest that wrist EMG-based control is comparable to that of forearm EMG when using traditional prosthesis control gestures and can even be better when using fine finger gestures. Additionally, the results suggest that as the difficulty of the environment increased, the online metrics and their correlation to the offline metrics decreased, highlighting the importance of evaluating myoelectric control in real-time evaluations over a range of difficulties. <jats:italic>Significance.<\/jats:italic> This work provides valuable insights into the future design and evaluation of myoelectric control systems for emerging HMI applications.<\/jats:p>","DOI":"10.1088\/1741-2552\/ad692e","type":"journal-article","created":{"date-parts":[[2024,7,30]],"date-time":"2024-07-30T22:52:11Z","timestamp":1722379931000},"page":"046057","update-policy":"https:\/\/doi.org\/10.1088\/crossmark-policy","source":"Crossref","is-referenced-by-count":20,"title":["Comparing online wrist and forearm EMG-based control using a rhythm game-inspired evaluation environment"],"prefix":"10.1088","volume":"21","author":[{"given":"Robyn","family":"Meredith","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8392-3729","authenticated-orcid":true,"given":"Ethan","family":"Eddy","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3592-2163","authenticated-orcid":false,"given":"Scott","family":"Bateman","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4421-1016","authenticated-orcid":false,"given":"Erik","family":"Scheme","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"266","published-online":{"date-parts":[[2024,8,22]]},"reference":[{"key":"jnead692ebib1","doi-asserted-by":"crossref","DOI":"10.1145\/3544548.3580962","article-title":"A framework and call to action for the future development of EMG-based input in hci","author":"Eddy","year":"2023"},{"key":"jnead692ebib2","doi-asserted-by":"publisher","first-page":"643","DOI":"10.1682\/JRRD.2010.09.0177","article-title":"Electromyogram pattern recognition for control of powered upper-limb prostheses: state of the art and challenges for clinical use","volume":"48","author":"Scheme","year":"2011","journal-title":"J. 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