Papers
16
Total Citations
548
H-Index
11
About
Ankit Chaudhary is a computer vision and human-computer interaction researcher whose work has significantly advanced the field of hand gesture recognition and intelligent machine interaction. His research sits at the intersection of computer vision, soft computing, and robotics, with a particular focus on developing natural, intuitive ways for humans to communicate with machines. Chaudhary's most influential contribution, "Tracking of Fingertips and Centers of Palm Using KINECT" (2011), has garnered over 200 citations and demonstrated innovative use of Microsoft's KINECT sensor for precise hand geometry reconstruction — a challenging problem given the hand's complex degrees of freedom. This work laid important groundwork for gesture-controlled interfaces and virtual environments. Complementing this, his multiple survey papers on hand gesture recognition, collectively accumulating nearly 120 citations, have served as essential reference points for researchers entering the field. Beyond gesture recognition, Chaudhary has contributed to robotics through his 2015 metaheuristics review (60 citations) and developed supervised ANN-based methods for controlling electro-mechanical robotic hands using finger angle calculations. His 2018 work on improved block matching algorithms for motion estimation further demonstrates his evolving interests in video processing applied to robotics. With over 490 total citations, Chaudhary remains a noteworthy figure in intelligent human-machine interaction research.
Research Focus
Key Achievements
Top Papers
- 1Tracking of Fingertips and Centers of Palm Using KINECT201 citations · 2011
- 2A Survey on Hand Gesture Recognition in Context of Soft Computing61 citations · 2010
- 3A review of metaheuristics in robotics60 citations · 2015
- 4Tracking of Fingertips and Centres of Palm using KINECT33 citations · 2013
- 5
- 6
- 7
- 8
- 9A Vision-Based Method to Find Fingertips in a Closed Hand17 citations · 2012
- 10