SBIR/STTR Research Award
Hands-Free Kinetic System for Medical Simulation (KineSys MedSim)
Award amount
$1,000,000Program and phase
SBIR · Phase IIAward year
2012Award details
- Awarding agency
- Department of Defense
- Branch
- Defense Health Agency
- Recipient company
- Intelligent Automation, Inc.
- Proposal award date
- 2012-03-23
- Contract end date
- Not reported
- UEI
- C3QJD7VXG167
- Solicitation number
- 2010.3
- Topic code
- OSD10-H06
Research abstract
In recent years, many human-computer interaction and virtual environment systems have incorporated haptic devices. However, the range of environment properties and types of interactions enabled by existing haptic interfaces are very limited. Haptic feedback is typically restricted to that provided by artificial materials (e.g., mannequins) or resolved forces (e.g., use of PHANTOM-type force feedback haptic interfaces in virtual reality simulators). The user normally grasps a stylus or places a fingertip in a thimble, which is represented as a tool in the virtual environment. There is a need for medical simulators that integrate the cutaneous sensations of direct interaction with typical kinesthetic feedback in order to provide a complete haptic experience. To address this need, Intelligent Automation, Inc. (IAI), in collaboration with Dr. Allison Okamura at Stanford University, Tangible Haptics, and Dr. Carla Pugh (Northwestern University), proposes to extend our Phase I successes developing a hands-free kinetic system for medical simulation, KineSys MedSim, that accurately simulates kinesthetic and cutaneous properties (e.g. stiffness, friction, texture, temperature, etc.) of skin, bone, muscle, and internal organs (which may have hard inclusions such as tumors). The proposed innovation in this SBIR effort will provide a solution for next-generation surgical simulators.
Technology keywords
Not reported
Other awards by this recipient
Verified by the same UEI. These are other public SBIR/STTR award pages, not a merged company record.
- Fast Accurate Safe Technology for Jack to Jig (FastJack)
- VMS: Deep Reinforcement Learning for High-fidelity Vehicle Motion Simulation
- VAST-CQA: Video Annotation and Statistics Toolkit for Crowdsourcing Quality Assessment
- SALUTEM: System for Activity Classification and Occupational Exposure Monitoring
- A Multiphysics Analysis Tool for Autoclave Processing of Composite Parts (MATAPro)
Awards with the same topic code
Verified by an exact topic code match. This is not a text-similarity match.
- Hands-Free Kinetic System for Medical Simulation
- THEO: Tactile and Haptics Enabled Open Surgery Simulator
- Hands-Free Kinetic System for Medical Simulation
- THEO: Tactile and Haptics Enabled Open Surgery Simulator
- Haptics for Medical Simulation (HAMS)