Analysis of Human-Machine Interaction Through Facial Expression and Hand-Gesture Recognition
Rajeshree Rokade1, Ketki Kshirsagar2, Jayashree Sonawane3, Sunita Munde4
1Dr. Rajeshree Rokade, Department, of EXTC Lokmanya Tilak College of Engineering, Navi Mumbai, India.
2Dr. Ketki Kshirsagar, Department, of EXTC VIIT College, Pune, India.
3Ms. Jayashree Sonawane, Department, of EXTC Lokmanya Tilak College of Engineering, Navi Mumbai, India.
4Ms. Sunita Munde, Department, of EXTC Lokmanya Tilak College of Engineering , Navi Mumbai, India.
Manuscript received on 09 July 2019 | Revised Manuscript received on 21 July 2019 | Manuscript Published on 23 August 2019 | PP: 1320-1328 | Volume-8 Issue-9S3 August 2019 | Retrieval Number: I32870789S319/2019©BEIESP | DOI: 10.35940/ijitee.I3287.0789S319
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open-access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: This paper focuses on a review of recent work on facial expression and hand gesture recognitions. Facial expressions and hand gestures are used to express emotions without oral communication. The human brain has the ability to identify the emotions of persons using expressions or hand gestures within a fraction of a second. Research has been conducted on human–machine interactions (HMIs), and the expectation is that systems based on such HMI algorithms should respond similarly. Furthermore, when a person intends to express emotions orally, he or she automatically uses complementary facial expressions and hand gestures. Extant systems are designed to express these emotions through HMIs without oral communication. Other systems have added various combinations of hand gestures and facial expressions as videos or images. The meaning or emotions conveyed by particular hand gestures and expressions are predefined in these cases. Accordingly, the systems were trained and tested. Further, certain extant systems have separately defined the meanings of such hand gestures and facial expressions.
Keywords: Facial gesture, Hand gesture, Segmentation, Feature extraction, Classification, Experimentation
Scope of the Article: Classification