AnyBodyRun is a spin-off project from our project with the Danish Science Center, Experimentarium. The project aim is to showcase our new workflow to create statistically parameterized running data and subsequently investigate certain internal body parameters, such as tendon or ligament forces. The underlying technology is developed internally and in collaboration with Kaiser Sport & Ortopædi and Aalborg University. The technology enables us to either create runners with certain anthropometric characteristics such as stature, bodyweight, segment dimensions etc. Furthermore, it enables us to fixate or vary certain running-specific parameters such as the running pace, stride-length, landing-pattern etc. This makes it very interesting to investigate how each parameter affects the body dynamics. The project is now at a state where we have developed a web application, showing some of the capabilities. Visit AnyBodyRun to try it out!
People with disabilities needs an active and healthy lifestyle like everyone else. Regrettably, surveys show that people with disabilities are more prone to lifestyle diseases and are generally more overweight. This is why the development of health promoting initiatives is important, so that disabled people can lead healthy lives. The MoveChair project aims to develop a mobile application that will motivate elderly and wheelchair users to exercise and make it possible to track the result. The app is being developed by AnyBody Technology A/S in cooperation with Bevica Fonden. Follow the project on www.movechair.app or find MoveChairApp on Facebook.
An.Dy is a recently started project on "Advancing Anticipatory Behaviors in Dyadic Human-Robot Collaboration".
AnyBody Technology A/S (SME) contributes to the project with its expertise in detailed musculoskeletal modeling, here-under modeling of man-machine interfaces. Enhanced ergonomic assessment models based on detailed musculoskeletal model data are also a focus area of ABT.
Follow the project here: http://www.andy-project.eu/
MovAiD is a cross-disciplinary project joining a consortium of companies under Horizon 2020 EU Program. It aims at developing technologies assisting manufacturing of intelligent, “passive” and highly personalised kineto-dynamic equipment (Movement Assistive Devices) to enhance or compensate human movements, aiding the disabled, elderly and workers.
More on the project website: http://movaid.eu/
The worldwide cost of artificial joints currently exceeds €14 billion a year. Total Joint Replacement, particularly of the hip and also the knee, represent one of the most successful and common surgical interventions, giving a new lease of life to those in pain and whose mobility has declined. This success has led to an unprecedented rise in the number of procedures being undertaken, increasingly on younger patients. Also increasing are the number of revision procedures. These factors are driving a demand for longer lasting implants and a reduction in failure rates. LifeLongJoints aims to make a breakthrough in the development of functional biomaterials to improve implant wear and corrosion by using novel silicon nitride-based coatings. These offer the possibility to combine high wear resistance and the solubility of wear particles released to reduce the overall potential for adverse tissue reactions. A variety of coatings will be considered in a range of clinical scenarios related to total hip arthroplasty.
More on the project website: http://lifelongjoints.eu/.
ADDFactor proposes the “Mini-factories” concept, founded on central knowledge-based design and local distributed manufacturing. ADDFactor will manage the complexity of the design phase thanks to a direct connection with the retailer, that will provide “biometric data” of the customers as tacit requirements and “aesthetics tests” as explicit demands, being both fundamental for an effective individual personalization. ADDFactor achievements will be focused on two different levels of manufacturing solutions, which will be placed:
- At retail environment, to consider products simple and/or reduced in terms of assembled components (i.e. orthotics or modular fashion heels and plateau);
- At district level when the products are complex and the manufacturing procedures cannot be scaled at local level (i.e. sport shoes or complete customized fashion shoes).
TLEMsafe was an EC Funded project aimed at creating an ICT-based patient-specific surgical navigation system that helps the surgeon safely reaching the optimal functional result for the patient and is a user friendly training facility for the surgeons.
AnyBody Technology, Twente University and Radboud University Nijmegen Medical Centre developed a updated version of the Twente Lower Extremity Model, in short TLEM, for the AnyBody Modeling System. The model is based on a detailed cadaver dataset with full MRI and CT scans. This model, referred to as TLEM2.0, is becoming available in AMMR after the project.
Read more about the project here: http://www.tlemsafe.eu
A-FOOTPRINT was an EC funded project aiming to treat foot and ankle disabilities by establishing a workflow to create personalized orthoses. The A-FOOTPRINT consortium comprised 13 partners; 8 commercially founded and 5 academic.
In this project AnyBody Technology developed a computer model of the human foot and ankle with an unprecedented level of detail in the AnyBody Modeling System™ named the Glasgow-Maastricht (GM) Foot Model . In time this model will be included in the array of existing unique models offered by AnyBody Technology, and currently it is available for research, consultancy, and collaboration projects upon request.
Read more about the project here: http://www.afootprint.eu.
SPINEFX was a Marie Curie funded project involving 4 leading universities and 3 companies with a track record in innovation.
The SPINEFX project addressed the three most prevalent and costly causes of vertebral fracture: Spinal Metastasis, Osteoporosis, and Spinal Trauma.
AnyBody Technology contributed to this project with research in computational modeling of the spine that led to multiple improvements in the AMMR spine model and the first data interface to FEA simulation in ANSYS.
Read more about the project here: http://www.spinefx.eu/.