{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,2]],"date-time":"2026-05-02T06:37:00Z","timestamp":1777703820424,"version":"3.51.4"},"reference-count":26,"publisher":"SAGE Publications","issue":"1","license":[{"start":{"date-parts":[[2018,7,9]],"date-time":"2018-07-09T00:00:00Z","timestamp":1531094400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["Journal of Intelligent &amp; Fuzzy Systems"],"published-print":{"date-parts":[[2018,7,27]]},"abstract":"<jats:p>This study focuses on a myoelectric interface that controls a robotic manipulator via neuromuscular electrical signals generated when humans make hand gestures. The proposed system recognizes dynamic hand motions, which change shapes, poses, and configuration of a hand over time, in real-time. Varying muscle forces controls the activation\/inactivation modes. Gradients of a limb orientation give directions of movements of the robot arm. Classified dynamic motions are used to change the control states of the HCI system. The performance of the myoelectric interface was measured in terms of real-time classification accuracy, path efficiency, and time-related measures. The usability of the developed myoelectric interface was also compared to a button-based jog interface. A total of sixteen human subjects were participated. The average real-time classification accuracy of the myoelectric interface was over 95.6%. The path efficiency of the myoelectric interface of the majority of the subjects showed similar performance to that of the jog interface. The results of the jog interface in the time-measures outperformed the results of the myoelectric interface. However, with the consideration of the overall advantages of the myoelectric interface, the decrease in the time-related performances may be offset.<\/jats:p>","DOI":"10.3233\/jifs-171562","type":"journal-article","created":{"date-parts":[[2018,7,10]],"date-time":"2018-07-10T14:39:01Z","timestamp":1531233541000},"page":"861-876","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":12,"title":["EMG and IMU based real-time HCI using dynamic hand gestures for a multiple-DoF robot arm"],"prefix":"10.1177","volume":"35","author":[{"given":"Sungtae","family":"Shin","sequence":"first","affiliation":[{"name":"Department of Mechanical Engineering, Texas A&amp;M University, College Station, TX, USA"}]},{"given":"Reza","family":"Tafreshi","sequence":"additional","affiliation":[{"name":"Department of Mechanical Engineering, Texas A&amp;M University at Qatar, Doha, Qatar"}]},{"given":"Reza","family":"Langari","sequence":"additional","affiliation":[{"name":"Department of Mechanical Engineering, Texas A&amp;M University, College Station, TX, USA"}]}],"member":"179","published-online":{"date-parts":[[2018,7,9]]},"reference":[{"key":"e_1_3_2_2_2","doi-asserted-by":"publisher","DOI":"10.1007\/s10462-012-9356-9"},{"key":"e_1_3_2_3_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.tele.2014.07.001"},{"key":"e_1_3_2_4_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.rcim.2013.09.003"},{"key":"e_1_3_2_5_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.bspc.2007.07.009"},{"key":"e_1_3_2_6_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.cviu.2015.07.009"},{"key":"e_1_3_2_7_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.jvcir.2015.01.015"},{"key":"e_1_3_2_8_2","doi-asserted-by":"crossref","unstructured":"KumarP. RautarayS.S. and AgrawalA. Hand data glove: A new generation real-time mouse for Human-Computer Interaction In Recent Advances in Information Technology (RAIT) 2012 1st International Conference on (2012) pp. 750\u2013755.","DOI":"10.1109\/RAIT.2012.6194548"},{"key":"e_1_3_2_9_2","doi-asserted-by":"publisher","DOI":"10.1109\/TRA.2003.808873"},{"key":"e_1_3_2_10_2","doi-asserted-by":"publisher","DOI":"10.1109\/TSMCB.2010.2045120"},{"key":"e_1_3_2_11_2","doi-asserted-by":"crossref","unstructured":"XuZ. XiangC. YunL. LantzV. KongqiaoW. and JihaiY. A framework for hand gesture recognition based on accelerometer and EMG sensors Systems Man and Cybernetics Part A: Systems and Humans IEEE Transactions on 41 (2011) 1064\u20131076.","DOI":"10.1109\/TSMCA.2011.2116004"},{"key":"e_1_3_2_12_2","doi-asserted-by":"publisher","DOI":"10.1007\/s10846-012-9677-6"},{"key":"e_1_3_2_13_2","doi-asserted-by":"crossref","unstructured":"WolfM.T. AssadC. VernacchiaM.T. FrommJ. and JethaniH.L. Gesture-based robot control with variable autonomy from the JPL BioSleeve In Robotics and Automation (ICRA) 2013 IEEE International Conference on (2013) pp. 1160\u20131165.","DOI":"10.1109\/ICRA.2013.6630718"},{"key":"e_1_3_2_14_2","doi-asserted-by":"crossref","unstructured":"WolfM.T. AssadC. StoicaA. YouK. JethaniH. VernacchiaM.T. Decoding static and dynamic arm and hand gestures from the JPL BioSleeve in pp Aerospace Conference 2013 IEEE (2013) 1\u20139.","DOI":"10.1109\/AERO.2013.6497171"},{"key":"e_1_3_2_15_2","doi-asserted-by":"crossref","unstructured":"Min KyuK. KwanghyunR. YonghwanO. Sang-RokO. and KeehoonK. Implementation of real-time motion and force capturing system fortele-manipulation based on G signalsand IMU motion data Robotics and Automation (ICRA) 2014 IEEE International Conference on (2014) 5658\u20135664.","DOI":"10.1109\/ICRA.2014.6907691"},{"key":"e_1_3_2_16_2","doi-asserted-by":"crossref","unstructured":"HaqueF. NancelM. and VogelD. Myopoint: Pointing and Clicking Using Forearm Mounted Electromyography and Inertial Motion Sensors In Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems (2015) pp. 3653\u20133656.","DOI":"10.1145\/2702123.2702133"},{"key":"e_1_3_2_17_2","doi-asserted-by":"crossref","unstructured":"GeorgiM. AmmaC. and SchultzT. Recognizing Hand and Finger Gestures with IMU based Motion and EMG based Muscle Activity Sensing in pp International Conference on Bio-inspired Systems and Signal Processing (BIOSIGNALS-2015) (2015) 99\u2013108.","DOI":"10.5220\/0005276900990108"},{"key":"e_1_3_2_18_2","doi-asserted-by":"publisher","DOI":"10.1115\/1.4033835"},{"key":"e_1_3_2_19_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.sigpro.2013.12.026"},{"key":"e_1_3_2_20_2","volume-title":"Detection of abrupt changes: Theory and application","author":"Basseville M.","year":"1993","unstructured":"BassevilleM., NikiforovI.V., Detection of abrupt changes: Theory and application, Prentice-Hall Inc., 1993."},{"key":"e_1_3_2_21_2","doi-asserted-by":"crossref","unstructured":"WilliamsM.R. and KirschR.F. Evaluation of Head Orientation and Neck Muscle EMG Signals as Command Inputs to a Human-Computer Interface for Individuals With High Tetraplegia IEEE Transactions on Neural Systems and Rehabilitation Engineering 16 (2008) 485\u2013496.","DOI":"10.1109\/TNSRE.2008.2006216"},{"key":"e_1_3_2_22_2","doi-asserted-by":"publisher","DOI":"10.1152\/jn.90614.2008"},{"key":"e_1_3_2_23_2","doi-asserted-by":"crossref","unstructured":"FernndezR.A.S. Sanchez-LopezJ.L. SampedroC. BavleH. MolinaM. Natural user interfaces for human-drone multi-modal interaction 2016 International Conference on Unmanned Aircraft Systems (ICUAS) (2016) pp. 1013\u20131022.","DOI":"10.1109\/ICUAS.2016.7502665"},{"key":"e_1_3_2_24_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.compenvurbsys.2013.10.003"},{"key":"e_1_3_2_25_2","doi-asserted-by":"publisher","DOI":"10.1007\/s11042-011-0983-y"},{"key":"e_1_3_2_26_2","doi-asserted-by":"crossref","unstructured":"BillinghurstM. PiumsomboonT. BaiH. Hands in space: Gesture interaction with augmented-reality interfaces IEEE Computer Graphics and Applications 34 (2014) 77\u201380.","DOI":"10.1109\/MCG.2014.8"},{"key":"e_1_3_2_27_2","doi-asserted-by":"publisher","DOI":"10.1007\/s00779-015-0844-1"}],"container-title":["Journal of Intelligent &amp; Fuzzy Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/journals.sagepub.com\/doi\/pdf\/10.3233\/JIFS-171562","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/journals.sagepub.com\/doi\/full-xml\/10.3233\/JIFS-171562","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/journals.sagepub.com\/doi\/pdf\/10.3233\/JIFS-171562","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,4,29]],"date-time":"2026-04-29T09:39:41Z","timestamp":1777455581000},"score":1,"resource":{"primary":{"URL":"https:\/\/journals.sagepub.com\/doi\/10.3233\/JIFS-171562"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,7,9]]},"references-count":26,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2018,7,27]]}},"alternative-id":["10.3233\/JIFS-171562"],"URL":"https:\/\/doi.org\/10.3233\/jifs-171562","relation":{},"ISSN":["1064-1246","1875-8967"],"issn-type":[{"value":"1064-1246","type":"print"},{"value":"1875-8967","type":"electronic"}],"subject":[],"published":{"date-parts":[[2018,7,9]]}}}