Optimizing Hand Gesture Recognition:: Enhanced Methods Using MFSM, MHMM, and DTW - Softcover

Kshirsagar, Ketki Prashant

Softcover

ISBN 10: 6208064325 ISBN 13: 9786208064327

Verlag: LAP LAMBERT Academic Publishing, 2024

Inhaltsangabe

One very interesting field of research in Pattern Recognition that has gained much attention in recent times is Gesture Recognition. Gesture may be described as the manner in which a person moves his body and limbs to express an idea or sentiment. People frequently use gestures to communicate in their day-to-day life. Therefore, gestures are a natural means of conveying information. This has motivated to use gestures for communicating with computers. Thus, gestures provide an attractive and user-friendly alternative to interface devices like keyboard, mouse and joysticks in human-computer interaction (HCI). Accordingly, the basic aim of gesture recognition research is to build a system which can identify/interpret specific human gestures automatically and use them to convey information.The main objective of this book is to study methods based on state-of-the-art techniques. The thesis addresses to the development of hand gesture recognition using Video Object Plane Generation Hand Segmentation, Modified Finite State Machine (MFSM), Modified Hidden Markov Model (MHMM) and Dynamic Time Warping (DTW).

Über diesen Titel

Über die Autorin bzw. den Autor

Dr. (Mrs) Ketki Prashant Kshirsagar completed her B.E. in Electronic and Telecommunication Engineering from Walchand Institute of Technology, Shivaji University, Kolhapur and M. Tech in Electronics and Ph.D from Shri Guru Gobind Singhji Institute of Engineering and Technology, Nanded , Swami Ramanand Teerth Marathwada University.

Details zur Ausgabe

• Verlag: LAP LAMBERT Academic Publishing
• Erscheinungsdatum: 2024
• Sprache: Englisch
• ISBN 10: 6208064325
• ISBN 13: 9786208064327
• Einband: Taschenbuch
• Anzahl der Seiten: 96
• Kontakt zum Hersteller: OmniScriptum; customerservice@vdm-vsg.de; ; Brivibas gatve 197; Riga; 1039; Lettland