https://journals.innovareacademics.in/index.php/ijet <div> <p style="text-align: justify; line-height: 15.0pt; background: white; margin: 7.5pt 0cm 7.5pt 0cm;"><span style="font-size: 10.5pt; font-family: 'Open Sans',sans-serif;">Innovare Journal of Engineering and Technology is a peer-reviewed open-access journal published annually (Onwards Jan 2020). The accepted articles are published online immediately after the acceptance (single volume with a single issue for each calendar year). The journal publishes research outcomes in various branches/fields of engineering, including mathematics, fabrication technology, advanced technology, innovation, kinematics, dynamics, control, simulation of robots and intelligent machines and systems, design of robotic mechanisms architectures, transistor-level design of integrated circuits, device modeling, technology, systems design, layout and testing, biomedical, Solar, Chemical, Civil, Electronic, Computer, Water and Environment, Telecom and Automobiles, Industrial research, Electrical Engineering, Mechanical Engineering, Petrol &amp; Fuel Engineering, Material, Textile Engineering, Lather Engineering, Glass &amp; Ceramics, Aeronautic, Space Engineering, Information Technology, Software Testing &amp; Hardware Technology, Mobile Computing, Wireless Sensor Networks, Web Designing, Cloud Computing, Big Data Analysis, Visual Communication System, Robotics, Embedded systems, E-Marketing. Original articles and Short communications are published along with Review articles on current topics in the field.</span></p> </div> <div> </div> <div><strong>Abstracting and Indexing- </strong>OAI, <a href="http://scholar.cnki.net/webpress/brief.aspx?dbcode=SJQA" target="_blank" rel="noopener">CNKI (China Knowledege Resource Integrated Database)</a>, LOCKKS, Google Scholar, Open J-Gate, OCLC (World Digital Collection Gateway), UIUC</div> en-US ijet@innovareacademics.in (Editor) info@innovareacademics.in (Mr. Sharma) Mon, 01 Jan 2024 00:00:00 +0530 OJS 3.3.0.8 http://blogs.law.harvard.edu/tech/rss 60 https://journals.innovareacademics.in/index.php/ijet/article/view/47386 <p>The human face is the most important and significant bodily part that contributes greatly to both human-to-human and human-to-machine communication. We always recognize a person by their face, from which we can infer their gender, extrapolate their age, and also deduce certain cultural traits. The technology we use most frequently today is face detection, and a number of programs need to be able to recognize emotions. The prevalent models do not use feelings to regulate device operation; instead, they rely on facial function identification from a whole image, which has a low accuracy level. The suggested module gathers photos from a camera or a database, recognizes faces, and then extracts features to build a powerful emotion detection tool for practical applications. Fuzzy clustering is used to identify different human emotions including happiness, sadness, and fear while managing the technology. These robust devices are made to be employed in successful human–computer interaction and human decisionmaking.</p> DHANALAKSHMI G, PRATHEEBHA S, THANAPPRIYA RL, MONIKA NS Copyright (c) 2024 DHANALAKSHMI G, PRATHEEBHA S, THANAPPRIYA RL, MONIKA NS http://creativecommons.org/licenses/by/4.0 https://journals.innovareacademics.in/index.php/ijet/article/view/47386 Mon, 01 Jan 2024 00:00:00 +0530