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Personalised Body Sensor Networks with Built-In Intelligence for Real-Time Risk Assessment and Coaching of Ageing workers, in all types of working and living environments

Project description

Interventions to keep older construction workers healthy

Ageing workers in the construction and manufacturing sectors face increased musculoskeletal health problems. The early assessment of these problems assures prevention and self-management in any working environment. The EU-funded BIONIC project will develop an integrated, instructive, autonomous and privacy-protecting platform for real-time risk assessment and permanent coaching that will allow the design of workplace interventions for specific categories of elderly workers. The concept will advance medical wearable technology integrating sensor modules in multi-direction and configurable body sensor networks. BIONIC relies on a multidisciplinary group of researchers from the domains of wearable electronics, artificial intelligence and wearables for health applications and experts in ergonomics and anthropometry, occupational safety and health, data analytics and system security, and personal data protection.

Objective

Our overall objective is to develop a holistic, unobtrusive, autonomous and privacy preserving platform for real-time risk alerting and continuous coaching, enabling the design of workplace interventions adapted to the needs and fitness levels of specific ageing workforce. Gamification strategies adapted to the needs and wishes of the elderly workers will ensure optimal engagement for prevention and self-management of musculoskeletal health in any working/living environment. The BIONIC concept will be a game changer in medical wearable technology integrating sensor modules in multi-purpose, configurable Body Sensor Networks (BSNs) introducing key enablers of user acceptance based on value, comfort, confidence and trust. BIONIC consists of a multidisciplinary team of researchers in the field of Wearable Electronics (IAW), Artificial Intelligence, Wearables for Health applications, and experts in Ergonomics and Anthropometry, Occupational Safety and Health, Data Analytics and System Security and Personal Data Protection. Results will be validated n real workplace environments by two prominent European Enterprises from the Construction and the Manufacturing sectors.

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Keywords

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Programme(s)

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Topic(s)

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Funding Scheme

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RIA - Research and Innovation action

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Call for proposal

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(opens in new window) H2020-SC1-DTH-2018-2020

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Coordinator

DEUTSCHES FORSCHUNGSZENTRUM FUR KUNSTLICHE INTELLIGENZ GMBH
Net EU contribution

Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.

€ 871 250,00
Address
TRIPPSTADTER STRASSE 122
67663 Kaiserslautern
Germany

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Region
Rheinland-Pfalz Rheinhessen-Pfalz Kaiserslautern, Kreisfreie Stadt
Activity type
Research Organisations
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Total cost

The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.

€ 871 250,00

Participants (11)

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