Objective
Musculoskeletal disorders, such as low back pain and RSI, often caused from psychological stress and physiological strain, are today among the biggest health and safety problems for people world wide, leading to enormous social and economical costs. The drive for miniaturization of electronic components should enable us to surround ourselves with sensors for monitoring our surroundings and our own body. However, body-monitoring sensors today cannot be used in unobtrusive due to their shape or material properties.
The objective of the CONTEXT project is to create a system where different types of contactless sensors are incorporated into textiles to be used in continuous monitoring of individuals. For the first time contactless sensors will be developed for the purpose of measuring electromyography and electrocardiography signals. Textile integration of these sensors is a logical choice because human beings are constantly surrounded with textiles in clothing and upholsteries and also because textiles are flexible and drapeable.
The contactless sensors investigated in the CONTEXT project will consist of true textile sensor electrodes that pick up the muscle and heart electric signals and miniaturized pre-processing sensor electronics connected to a textile substrate which contains conductive yarn structures for data and power transmission. Dedicated system architecture and data processing equipment will be designed. Finally a feasibility prototype will be created in the form of a vest, containing two-dimensional sensor arrays integrated in a conductive textile substrate, capable of monitoring the muscle activity and the psychological stress state of the person wearing it.
The CONTEXT consortium contains 6 partners, two from industry, two industrial research institutes (one of them being an SME) and two universities. Each of the partners has world-class knowledge in either electronics, textiles or human movement sciences.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
- engineering and technologymaterials engineeringtextiles
- engineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringsensors
- natural sciencescomputer and information sciencesdata sciencedata processing
You need to log in or register to use this function
Call for proposal
Data not availableFunding Scheme
STREP - Specific Targeted Research ProjectCoordinator
Postbus 90050 EINDHOVEN
Netherlands