Pranav Mistry

Human-Computer Interaction · 2009

A researcher in the Science corpus: 2 papers; trusts 1 researcher and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

Whom Pranav Mistry trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Andrew D. Wilson
  2. Claudio S. Pinhanez
  3. Jefferson Y. Han

Who trusts Pranav Mistry overall

  1. J. Laviola
  2. Julie Carmigniani
  3. David Kim
  4. Borko Furht
  5. Andrew D. Wilson
  6. Chris Harrison
  7. Otmar Hilliges
  8. Hrvoje Benko
  9. Mark Billinghurst
  10. Hung-Lin Chi

Papers from Pranav Mistry's perspective

Ordered by how strongly the researchers Pranav Mistry trusts endorse each paper. Same corpus, a different order for every researcher.

  1. SmartSkin: an infrastructure for freehand manipulation on interactive surfaces (International Conference on Human Factors in Computing Systems)
  2. TouchLight: an imaging touch screen and display for gesture-based interaction (International Conference on Multimodal Interaction)
  3. Low-cost multi-touch sensing through frustrated total internal reflection (ACM Symposium on User Interface Software and Technology)
  4. The Everywhere Displays Projector: A Device to Create Ubiquitous Graphical Interfaces (Ubiquitous Computing)
  5. PlayAnywhere: a compact interactive tabletop projection-vision system (ACM Symposium on User Interface Software and Technology)
  6. The Gesture Pendant: A Self-illuminating, Wearable, Infrared Computer Vision System for Home Automation Control and Medical Monitoring (Digest of Papers. Fourth International Symposium on Wearable Computers)
  7. Multi-finger and whole hand gestural interaction techniques for multi-user tabletop displays (ACM Symposium on User Interface Software and Technology)
  8. Virtual object manipulation on a table-top AR environment (Proceedings IEEE and ACM International Symposium on Augmented Reality (ISAR 2000))
  9. Using a depth camera as a touch sensor (International Conference on Intelligent Tutoring Systems)
  10. Distinctive Image Features from Scale-Invariant Keypoints

Their papers