M
Manivannan Muniyandi
Researcher at Indian Institute of Technology Madras
Publications - 25
Citations - 654
Manivannan Muniyandi is an academic researcher from Indian Institute of Technology Madras. The author has contributed to research in topics: Computer science & Haptic technology. The author has an hindex of 7, co-authored 16 publications receiving 587 citations. Previous affiliations of Manivannan Muniyandi include Massachusetts Institute of Technology.
Papers
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Journal ArticleDOI
Haptics in minimally invasive surgical simulation and training
TL;DR: This work discusses important aspects of haptics in MISST, such as haptic rendering and haptic recording and playback, and discusses the importance of net forces resulting from tool-tissue interactions in surgery.
Journal ArticleDOI
Transatlantic touch: a study of haptic collaboration over long distance
Jung Kim,Hyun Kim,Boon K. Tay,Manivannan Muniyandi,Mandayam A. Srinivasan,Joel Jordan,J. Mortensen,Manuel Oliveira,Mel Slater +8 more
TL;DR: Using the technology described in this paper, transatlantic touch was successfully demonstrated between the Touch Lab at Massachusetts Institute of Technology, USA and Virtual Environments and Computer Graphics (VECG) lab at University College London (UCL), UK in 2002.
Journal ArticleDOI
Breath rate variability: A novel measure to study the meditation effects
Rahul Soni,Manivannan Muniyandi +1 more
TL;DR: Breath rate variability (BRV) as an alternate measure of meditation even over a short duration is proposed and can provide short-term effect on anatomic nervous system meditation, while HRV shows long-term effects.
Book ChapterDOI
DC Motor Damping: A Strategy to Increase Passive Stiffness of Haptic Devices
TL;DR: A configuration of the H-bridge is employed which can cause physically dissipative damping to impart stability to the haptic device, which results in an increase in passive wall stiffness over the performance of an undamped DC motor.
Journal Article
Real-time PC based X-ray simulation for interventional radiology training.
TL;DR: This paper proposes a method for rendering X-ray images in real-time on a PC with consumer level graphics hardware, while improving the quality of the images.