What We Do
Human Modeling and Simulation
A human is a complicated system. Various digital human models are used to describe human physical, biological, physiological, behavioral, mental, and cognitive features and characteristics and to simulate/predict human responses under various conditions, such as force, acceleration, heat, electro-magnetic waves, etc. Digital human models have been widely used in human-centered products and services. Innovision has more than 20 years of experience and broad capabilities in human modeling and simulation, from human shape modeling and musculoskeletal modeling to multi-rigid body modeling and full body anatomical structure finite element modeling. We are good at using a variety of open source software tools (e.g., Blender, Unity, OpenSim, Pulse Engine) and commercial-off-the-shelf tools (3dsMax, Motion Builder, and LSDYNA) to solve challenging problems of anthropometrics, ergonomics, biomechanics, and physiology.
Impact Biomechanical Modeling and Simulation
Impact or acceleration from an automobile crash, a helicopter harsh landing, or a road-side explosion to a human can cause serious or even fatal injuries. Impact biomechanical modeling and simulation can be used to discover the injury mechanism, to assess injury risks under various scenarios, and to optimize energy attenuating structure, restraint systems, and protection devices to mitigate injury risks. Innovision researchers have nearly 30 years of R&D experience in the area of impact biomechanical modeling and simulation. The projects we have worked include building a full-scale finite element crash model of 1997 Honda Accord, limiting performance analysis of seat belt, modeling and simulation of out-of-position occupant-airbag interaction, optimal control of helicopter seat cushion for the reduction of spinal injuries, ejection seat simulation, and mobile robot helicopter seat with optimized energy attenuation ( SBIR Phase I and II).
Computer Vision and Deep Learning
As one of most active research areas, computer vision and deep learning has been used for human identification and human activity recognition. Under the H-MASINT program (a multi-year, multi-million dollars cross directorate program charted by the AFRL), Innovision’s chief scientist had been leading a group of scientists and engineers utilizing computer vision and deep learning to develop technologies for human identification and human activity recognition. In recent years, using deep learning, Innovision has built technologies that can extract 3-D human shape model from 2-D imagery, estimate body measurements from a body shape model, and crate a shape model based on body measurements.
Digital Engineering Transformation
As digital transformation has been implemented across a range of industries to drive affordability, agility, quality, and efficiency, Innovision has been developing software systems and platforms that supports the United States Department of Defense’s initiative to transform the way it designs, develops, delivers, operates, and sustains complex systems in a formidable and changing threat environment. These include Integrated Digital Engineering Environment for Personal Protective Equipment Development (IDEEP) and Integrated Digital Environment for Airman Fit and Accommodation (IDEA). These systems streamline the entire process of development including initial design, virtual prototyping, virtual testing, optimization, and assessment/certification by digital simulation.
What we offer
Dynamic Avatars with Complete Articulated Anatomy
DACAA is a software tool for repositioning an individualized human anatomical model to a desired pose and animating the model with motion capture data in a medically realistic fashion, thus enabling biomechanical and physiological analysis of an individual based on the model. It has been developed under a SBIR Phase I and Phase II program sponsored by the Defense Health Agency (DHA).
For more information of DACAA, please contact us at firstname.lastname@example.org
Passenger and Baggage Simulation for Synthetic Image Generation
(Passenger and Baggage Simulation for Synthetic Image Generation) is a software tool for automatically creating passenger and baggage models, which in turn can be used to generate synthetic millimeter wave (MMW) images of passengers and X-ray images of baggage. These synthetic images along with real-world images can be used to train deep learning-based algorithms for automatic threat detection, thus increasing the efficiency of airport security screening. PASSIG has been developed under a SBIR Phase I program sponsored by the Science and Technology (S&T) Directorate of the Department of Homeland Security (DHS).
For more information of PASSIG, please contact us at email@example.com
Warfighter Digital Twin
(Warfighter Digital Twin) is a software framework for building warfighter digital twins. A warfighter digital twin is a digital replica or representation of a warfighter, including his physical, biological, physiological, behavioral, mental, and cognitive features and characteristics. The construction of WDT is based on the individualized and unified digital human models combined with personal data containers. It will transform existing military systems to ecosystems, so that advanced technologies of big data, data analytics, machine learning/deep learning, artificial intelligence, and live, virtual, and constructive (LVC) simulation can be utilized to make the US military forces faster, stronger, smarter, and more efficient.
For more information of WDT, please contact us at firstname.lastname@example.org
Human Activity Replication Tool
(Human Activity Replication Tool) is a software tool for quick and easy modeling and simulation of human activities. It is a Python-based add-on to the Blender, a free and open-source 3D computer graphics software toolset (https://www.blender.org/). HART has been developed by Innovision, LLC. under a SBIR Phase II program sponsored by the Air Force for which Innovision was a subcontractor to IAI (https://www.i-a-i.com/).
For more information of HART, please contact us at email@example.com or visit www.blenderbusiness.com
Ufit-Exercise is a hardware-software integrated system that creates an instructive, interactive, and immersive environment for Physiotherapy Scoliosis Specific Exercises (PSSEs). By using patient digital twin (PDT), a digital or virtual copy of an individual patient, the diagnosis of scoliosis and the assessment of spine deformity can be performed in 3D space thus improving the completeness of assessment and the design of PSSEs. By representing the prescribed PSSEs in 3D games via animating the PDT with motion captured during clinic practice, the actual poses and motion of a patient during home exercise can be monitored, evaluated, and instructed to adjust with 3D games as reference. The development of Unit-Exercise is currently supported by a SBIR Phase I sponsored by National Science Foundation (NSF award ID: 2136086).
For more information of Ufit-Exercise, please view Demo Video. If you are interested in the software, please contact us at firstname.lastname@example.org.
Ufit-Brace Design is a software tool for scoliosis brace design and simulation. Scoliosis is a sideways curvature of the spine that occurs most often during the growth spurt just before puberty. Small curves usually don’t cause problems. But a curve that gets worse can be bad for a person’s health. Very large curves can damage the joints and cause arthritis of the spine. Large curves can make the ribs rub against the pelvis, causing pain. If the spine curves a lot, people might get lung problems. Ufit-Brace Design, as a python-based software system, provides a streamlined process for the scoliosis brace design, dynamic simulation of the body deformation, and brace fitting evaluation. After the brace design is done, the software tool can create a mold model for traditional brace making or export a 3-D model file that can be directly used by 3-D printing.
For more information of Ufit-Brace Design, please contact us at email@example.com
5600 Kentshire Dr.
Dayton, OH 45440