Abstract: A sensor detects tilt and/or accelerations simultaneously and in a plurality of directions. The exemplary sensor comprises a magnet which is allowed to move in multiple directions within a space about which a plurality of Hall-effect sensors are arrayed. The magnet is mounted by a plurality of springs which limit the displacement of the magnet to the space within the circle of sensors. Continuous signals from the sensors change in response to a changing position of the magnet. These signals are evaluated by an artificial neural network (ANN) taught using validated tilt sensors. Angle and acceleration values are cleaned from vibration values using a Kalman filter.

Abstract: Provided are systems and methods for determining a subject's physiological parameters such as heart rate, blood glucose level, variation in heart rate and/or oxygen saturation in a non-contact manner. A photoplethysmography (PPG) signal representing physiological parameter is obtained from a subject by a sensor that generates non-contact PPG signal in red, blue, green (RBG) components. The method further includes a step of analyzing the RBG components for simultaneously measuring the oxygen saturation level and any of the heart rate, blood glucose level or variation in heart rate of the subject.

Abstract: A brain-computer interface (BCI) designed with a hybrid electroencephalography (EEG) and functional near-infrared spectroscopy (fNIRS) for letter and number recognition system for people who cannot speak. By this system, the words and numbers a subject thinks of are reflected on a display screen. A speech tool has been designed for these individuals allowing them to express themselves.