TY  - BOOK
AU  - Premaratne,Prashan
ED  - SpringerLink (Online service)
TI  - Human Computer Interaction Using Hand Gestures
T2  - Cognitive Science and Technology,
SN  - 9789814585699
AV  - Q342 
U1  - 006.3 23
PY  - 2014///
CY  - Singapore
PB  - Springer Singapore, Imprint: Springer
KW  - Engineering
KW  - Computer science
KW  - Artificial intelligence
KW  - Computer vision
KW  - Engineering design
KW  - Computational Intelligence
KW  - User Interfaces and Human Computer Interaction
KW  - Control, Robotics, Mechatronics
KW  - Artificial Intelligence (incl. Robotics)
KW  - Engineering Design
KW  - Computer Imaging, Vision, Pattern Recognition and Graphics
N1  - Chapter Description -- Historical Development of Hand Gesture Recognition -- Pre-processing -- Feature Extraction -- Effective Hand Gesture Classification Approaches -- Sign Languages of the World -- Future Trends in Hand Gesture Recognition
N2  - Human computer interaction (HCI) plays a vital role in bridging the 'Digital Divide', bringing people closer to consumer electronics control in the 'lounge'. Keyboards and mouse or remotes do alienate old and new generations alike from control interfaces. Hand Gesture Recognition systems bring hope of connecting people with machines in a natural way. This will lead to consumers being able to use their hands naturally to communicate with any electronic equipment in their 'lounge.' This monograph will include the state of the art hand gesture recognition approaches and how they evolved from their inception. The author would also detail his research in this area for the past 8 years and how the future might turn out to be using HCI. This monograph will serve as a valuable guide for researchers (who would endeavour into) in the world of HCI
UR  - http://dx.doi.org/10.1007/978-981-4585-69-9
ER  -