Manuel Schimmack

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An orthosis embedded with a surface electromyography (sEMG) measurement system, integrated with metal-polymer composite fibers, was used to monitor the electrical activity of the forearm muscles during movement. The comfortable and noninvasive sEMG system was developed for long term monitoring during rehabilitation. Wavelets were used to denoise and(More)
The number of applications of stimulus-responsive polymers is growing at an impressive rate. The motivation of this contribution is to use a commercially available low-budget silver-coated polyamide (PA6) as a thermo-responsive metal-polymer hybrid soft actuator. Polyamide is a hygroscopic polymer; therefore, its mechanical and physical-chemical properties(More)
This paper considers a single-input and single-output (SISO) controlled autoregressive moving average system by using scalar factors of the input-output data. A general identification technique, through scaling data, is obtained. To obtain this data, Recursive Least Squares (RLS) methods are used to estimate the nano parameters of a linear model using(More)
This paper deals with the noise reduction of discrete AFM surface images using orthogonal wavelets. More in detail, it compares the usefulness of the Daubechies wavelets with different vanishing moments for noise reduction. The work is based upon the discrete wavelet transform (DWT) version of wavelet package transform (WPT). With the help of a seminorm the(More)
In this paper an Extended Kalman Filter (EKF) is used as an observer for temperature monitoring, like a virtual sensor, of a metal-polymer fibre based heater structure. Metal-coated polymers are relevant for the realisation of smart systems (capable of both sensing and actuating). A real-time implementation of the temperature estimator is important to(More)
This paper presents an adaptive Kalman filter used as an observer in combination with a scaled least squares (LS) technique to improve a textile based sensor fusion. The focus of the application is to detect and monitor workplace particulate pollution. To control the sensor system around a reference current, a robust proportional-integral (PI) controller is(More)
Single-input and single-output (SISO) controlled autoregressive moving average system by using a scalar factor input-output data is considered. Through data scaling, a simple identification technique is obtained. Using input-output scaling factors a data Recursive Least Squares (RLS) method for estimating the parameters of a linear model and contemporary(More)