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SOFTii: Soft Tangible Interface for Continuous Control of Virtual Objects with Pressure-based Input

SOFTii: Soft Tangible Interface for Continuous Control of Virtual Objects with Pressure-based Input

by Sang Ho Yoon | Dec 1, 2014 | 2015, Ansh Verma, Embedded Input, Sang Ho Yoon, TANGIBLE, EMBEDDED & EMBODIED INTERFACES, Vinh Nguyen

We present SOFTii, a flexible input system for topography design and continuous control via external force. Our intent is to provide a tactile metaphor for pressure-based surface input. In this study, two prototypes of SOFTii have been fabricated: (a) The first...

Categories

  • DESIGN METHOD
    • Design Learn
    • Design Collaboration
    • Design Representation
  • TANGIBLE, EMBEDDED & EMBODIED INTERFACES
    • Embedded Input
    • Tangibles
    • Fabrication
  • HUMAN SHAPE INTERACTION
    • Multi-touch Interaction
    • Mid-air Interaction
    • Spatial Analytics
    • Shape Understanding

Recent Publications

  • Object Synthesis by Learning Part Geometry with Surface and Volumetric Representations Object Synthesis by Learning Part Geometry with Surface and Volumetric Representations
  • First-Person View Hand Segmentation of Multi-Modal Hand Activity Video Dataset
  • A Large-scale Annotated Mechanical Components Benchmark for Classification and Retrieval Tasks with Deep Neural Networks

Lab News

  • Digital Engineering 24/7 : Purdue University Uses Machine Learning to Classify Mechanical Objects
  • Inside Indiana Business Inside Indiana Business: Purdue’s Convergence Design Lab’s AR/VR Future of Work & Training SkillXR System
  • Augmenting Humans in Design Fabrication, Robotics and Workflows Through Spatially Aware Interfaces Seminar: Augmenting Humans in Design Fabrication, Robotics, and Workflows Through Spatially Aware Interfaces

Featured Publications

  • An Exploratory Study of Augmented Reality Presence for Tutoring Machine Tasks
  • Meta-AR-App: An Authoring Platform for Collaborative Augmented Reality in STEM Classrooms
  • GhostAR: A Time-space Editor for Embodied Authoring of Human-Robot Collaborative Task with Augmented Reality
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