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Electromyography (EMG) is a bioelectric signal used in HCI that can be captured noninvasively by placing electrodes on the human hand. Due to the impact of complex background, accurate recognition and analysis of human motion in real-time multitarget scenarios are considered challenging in HCI. Further, EMG signals of human hand motions are exceedingly nonlinear, and it is important to utilize a dynamic approach to address the noise problem in EMG signals. Hence, in this paper, the Optimized Noninvasive Human-Computer Interaction (ONIHCI) model has been proposed to predict human motion recognition. Average Intrinsic Mode Function (AIMF) has been used to reduce the noise factor in EMG signals. Furthermore, this paper introduces spatial thermographic imaging to overcome the conventional sensor problem, such as gesture recognition and human target identification in multitarget scenarios. The human motion behavior in spatial thermographic images is examined by target trajectory, and body movement kinematics is employed to classify human targets and objects. The experimental findings demonstrate that the proposed method reduces noise by 7.2% and improves accuracy by 97.2% in human motion recognition and human target identification.<\/jats:p>","DOI":"10.1155\/2021\/3902030","type":"journal-article","created":{"date-parts":[[2021,11,3]],"date-time":"2021-11-03T22:05:06Z","timestamp":1635977106000},"page":"1-15","source":"Crossref","is-referenced-by-count":7,"title":["Computer Vision for Human-Computer Interaction Using Noninvasive Technology"],"prefix":"10.1155","volume":"2021","author":[{"given":"Janarthanan","family":"Ramadoss","sequence":"first","affiliation":[{"name":"Center for Artificial Intelligence and Research, Chennai Institute of Technology, Chennai, Tamil Nadu, India"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"J.","family":"Venkatesh","sequence":"additional","affiliation":[{"name":"Center for Artificial Intelligence and Research, Chennai Institute of Technology, Chennai, Tamil Nadu, India"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3815-1261","authenticated-orcid":true,"given":"Shubham","family":"Joshi","sequence":"additional","affiliation":[{"name":"Department of Computer Engineering, SVKM\u2019s NMIMS MPSTME Shirpur Campus, Savalade, India"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3715-3882","authenticated-orcid":true,"given":"Piyush Kumar","family":"Shukla","sequence":"additional","affiliation":[{"name":"Computer Science & Engineering Department, University Institute of Technology, Rajiv Gandhi Proudyogiki Vishwavidyalaya, (Technological University of Madhya Pradesh), Bhopal 462033, India"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5852-1955","authenticated-orcid":true,"given":"Sajjad Shaukat","family":"Jamal","sequence":"additional","affiliation":[{"name":"Department of Mathematics, College of Science, King Khalid University, Abha, Saudi Arabia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Majid","family":"Altuwairiqi","sequence":"additional","affiliation":[{"name":"College of Computers and Information Technology, Computer Science Department, Taif University, Taif, Saudi Arabia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3113-4760","authenticated-orcid":true,"given":"Basant","family":"Tiwari","sequence":"additional","affiliation":[{"name":"Department of Computer Science, Hawassa University, Institute of Technology, Hawassa, Ethiopia"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","reference":[{"key":"1","doi-asserted-by":"publisher","DOI":"10.1186\/s13673-019-0203-8"},{"key":"2","doi-asserted-by":"publisher","DOI":"10.1109\/access.2019.2932146"},{"key":"3","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2018.01.092"},{"key":"4","doi-asserted-by":"publisher","DOI":"10.2200\/s00822ed1v01y201712cov015"},{"key":"5","doi-asserted-by":"publisher","DOI":"10.1007\/s00521-019-04142-8"},{"key":"6","doi-asserted-by":"publisher","DOI":"10.3390\/jimaging6080073"},{"key":"7","doi-asserted-by":"publisher","DOI":"10.1007\/s10853-020-04707-2"},{"key":"8","doi-asserted-by":"publisher","DOI":"10.1177\/1362361318766247"},{"issue":"1","key":"9","doi-asserted-by":"crossref","first-page":"85","DOI":"10.1007\/s10846-019-01026-w","article-title":"Human Re-identification with a robot thermal camera using entropy-based sampling","volume":"98","author":"S. 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