This book focuses on light invariant bare hand gesture recognition while there is no restriction on the types of gestures. An approach to controlling electro-mechanical robotic hands using dynamic hand gestures is also presented using a robot simulator.
Dr. Ankit Chaudhary received his Master of Engineering degree in Computer Science from the Birla Institute of Technology and Science, Pilani and his Ph.D. from the Central Electronics Engineering Research Institute, Council of Scientific and Industrial Research (CSIR). His research interests include vision-based applications, intelligent systems, and Robotics. Having authored sixty research publications and edited one book, Dr. Chaudhary is an Associate Editor for Computers and Electrical Engineering and serves on the Editorial Boards of several international journals. He is also a reviewer for numerous journals, including IEEE Transactions on Image Processing, IET Image Processing, Machine Vision and Applications, and Robotics and Autonomous Systems. In the past, Dr. Chaudhary was associated with the University of Iowa’s Department of Electrical and Computer Engineering and the Department of Computer Science BITS Pilani, also working as a Visiting Faculty/researcher at many research laboratories.
Innehållsförteckning
Chapter 1: Introduction.- Chapter 2: Scientific Goals.- Chapter 3: State of the Art.- Chapter 4: Hand Image Segmentation.- Chapter 5: Light Invariant Hand Gesture Recognition.- Chapter 6: Fingertips Detection.- Chapter 7: Bent Finger’s Angles Calculation.- Chapter 8: Both Hands’ Angles Calculation.- Chapter 9: Conclusions.