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Gesture Recognition for Enhancing Human Computer Interaction

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Title Statement Gesture Recognition for Enhancing Human Computer Interaction
 
Added Entry - Uncontrolled Name Chakravarthi, Sangapu Sreenivasa; Department of CSE, Amrita School of Computing, Amrita Vishwa Vidyapeetham, Chennai 601 103, India
Rao, B. Narendra Kumar ; AIML, School of Computing, Mohan Babu University, Tirupati 517 102, India
Challa, Nagendra Panini; School of Computer Science and Engineering, VIT-AP University, Amaravati 522 237, India
Ranjana, R. ; Department of IT, Sri Sairam Engineering College, Chennai– 600 044, India
Rai, Ankush ; AI Division, Faculty of Electronics and Information Technology, Warsaw University of Technology, 00-661 Warsaw, Poland
 
Uncontrolled Index Term Extreme learning, Finger tracking, Hand gesture, Motion detection, Voice commands
 
Summary, etc. <p>Gesture recognition is critical in human-computer communication. As observed, a plethora of current technological developments are in the works, including biometric authentication, which we see all the time in our smartphones. Hand gesture focus, a frequent human-computer interface in which we manage our devices by presenting our hands in front of a webcam, can benefit people of different backgrounds. Some of the efforts in human-computer interface include voice assistance and virtual mouse implementation with voice commands, fingertip recognition and hand motion tracking based on an image in a live video. Human Computer Interaction (HCI), particularly vision-based gesture and object recognition, is becoming increasingly important. Hence, we focused to design and develop a system for monitoring fingers using extreme learning-based hand gesture recognition techniques. Extreme learning helps in quickly interpreting the hand gestures with improved accuracy which would be a highly useful in the domains like healthcare, financial transactions and global business</p>
 
Publication, Distribution, Etc. Journal of Scientific & Industrial Research
2023-04-06 06:49:56
 
Electronic Location and Access application/pdf
http://op.niscair.res.in/index.php/JSIR/article/view/72387
 
Data Source Entry Journal of Scientific & Industrial Research; ##issue.vol## 82, ##issue.no## 04 (2023)
 
Language Note en