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WP1 Novel concepts for Movement Assistive Device (MAD)

WP1 focuses on identifying target groups, understanding their activities and translating user requirement results into a MAD reference design. These devices can reduce costs associated with treating movement disabilities and preventing their consequences.

Project partner Alstom began by analysing ergonomic risks associated with workers in manufacturing scenarios, identifying correct kinesis, injury prevention conditions and enablers for improved productivity.

WP1 identified potential sensor systems and defined the typical target movement range and dynamics. Moreover, the work package also considered the preventive and corrective aspects for the different target groups, feeding into the MAD reference design that is currently in progress. Target groups also include the elderly and children with neuromuscular disease.

WP2 MovAiD Integration Platform

WP2 develops an integration platform architecture and a total body avatar data model that considers the need for sensor and biometric device scalability. A first version of the integration platform is available online and the web portal application is under development.

A new wearable sensor with multi-standard wireless connectivity and possible on-board processing is set for release end of 2016. It will measure defined movement kinematics. Results will help design simulation tools and optimise the MAD.

The same sensor module will be slightly adapted and embedded in the final MAD product to measure user movements in everyday life. Additional sensors will be inserted to calculate pressure between the MAD and body, and assess how the device is fitted.

WP3 MovAiD Advanced Materials

WP3 develops materials and related meso-structures to be used in MAD components, offering innovative features as identified in WP1 and WP2. It focuses on defining necessary material composition and distribution to provide specific dynamic functionalities required in the body’s complex movement.

The MovAiD approach, based on enabling tools and technologies such as 3D printing, guarantees the flexibility in terms of components’ personalization and functionalities, which are freely manufactured with electronics and sensors embedded into the parts.

Research refers to new polymer processing, where the polymeric composition varies with fibres, fillers and additives able to create multi-functional materials necessary to deliver a multi-behaviour of the parts in relation to human gait. Further activities focus on creating smart structures that compensate the complex kinematics and dynamics of the human body.

MovAiD solutions aim to be efficient and optimised. Developing and using conductive materials along with specific 3D printing equipment will create personalised products with embedded sensors able to transfer data and energy from sensors and battery. This integrated solution will guarantee that the quality of the parts and the effectiveness and comfort of the overall products are continuously monitored.

WP4 MovAiD Computational Design

WP4 centres around the computational evolution and design of human interaction with the MAD target movements. A more general Upper Body MAD Conceptual Model is now under development, based on specifications presented in Deliverable D1.4.

In October, AnyBody Technology took part in IROS 2016, IEEE’s flagship robotics conference, presenting various possible applications of musculoskeletal simulations including exoskeletons.

Watch July’s online webcast on Modelling Human-Exoskeleton interaction with AnyBody. Professor John Rasmussen, from Aalborg University, explains how musculoskeletal simulation is used in various stages of the design process to enhance safety, reduce weight and minimise power consumption.

Also available are the proceedings from the 2nd International Symposium on Wearable Robotics, which took place from 18 to 21 October, 2016 in Segovia, Spain. This study showcases the effect of adding assistive torques to the hip, knee and ankle joints in the sagittal plane, using the AnyBody musculoskeletal modelling system. Simulation results show that the hip joint assistance affects the total metabolic energy consumption more than the knee and ankle joints.

WP5 MovAiD Additive Manufacturing Machines and Processes

The work within WP5 focuses on engineering innovative machines to manufacture additional body contact and structural parts, especially those acting as an interface, wrapped around the body’s upper and lower limbs, and guiding movement.

There are several challenges to manufacturing these added part, like developing the right dimensions and mechanical features, which require innovative approaches to piece building and time.

To provide an integrated advanced solution for manufacturing these part, engineers in this project have analysed novel process solutions for creating material with dedicated features and are currently building added manufacturing machines.

WP5’s final goal is to create personalised solutions, tailored to people’s specific needs and requirements, based on data gathered from biometry and movement analysis.

WP6  Validation

Validates the MovAiD framework based on specific demonstrators within the supply chain, work starts in June 2017.

WP7 Dissemination and Communication

So far, ISPO has offered support in communicating about MovAiD and helped create the project’s official website, promotional flyer, and Facebook page. Like our social media page and share this information with your community.