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Research objective include the set-up of a comfortable health monitoring system, based on a 'wearable' interface, implemented by integrating smart sensors (in fibre and yarn form), advanced signal processing techniques and modern telecommunication systems, on a textile platform and by developing a monitoring system for data management, with local intelligence in the form of a decision support unit. The sensing textile interface consists of 6 fabric ECG electrodes, 4 fabric impedance measurement electrodes, 9 fabric insulated connections, 4 fabric piezoresistive sensors and 2 embedded temperature sensors. The Patient Portable Unit (PPU) is small and lightweight (only 145g, 1/3 size of 1st prototype), an easy user interface and can be used for data transmission over GPRS link. It is an integrated electrode using a hydrogel membrane. Impedance pneumography methodology is used to monitor respiratory activity. Four electrodes are placed on thoracic position: the outer ones are used to inject a high frequency current (50 kHz) and the inner ones to capture the voltage variation caused by thoracic impedance change. A seamless shirt with piezoresistive sensors for pletysmography in abdominal and thoracic position is shown. Two piezoresistive fabric sensors integrated in a seamless shirt provide information about thoracic and abdominal respiration. Furthermore, a design of a semi-worked tubular knitwear with differentiated compression properties is demonstrated. UWB radar is a mix of conventional radar (Radio Detection And Ranging) technology and spread spectrum radio (SSR) technology, both directly coming from military applications. UWB radar was able to detect, non-invasively, the movements of the organs inside the human body. That is why there do exist a definite difference in reflection magnitude between the heart muscle and the blood it pushes into the vascular tree. A new system-on-a-chip radar sensor for next generation interface has been applied to the human health-care and safeguard. A body posture and gesture capture recognition and classification system is shown. A sensing glove consists of 20 piezoresisitive sensors that are distributed over the hand joints. It is possible to control wheelchairs by residual body motions.