Abstract: A method for positioning a mobile object in an underground tunnel includes the steps of determining horizontal progression of a mobile object in an underground tunnel from a preceding position estimate or an initial position of the mobile object; determining horizontal position of the mobile object on the basis of a floor model of the tunnel and the estimated horizontal progression of the mobile object; and generating a three-dimensional position indicator on the basis of the horizontal position of the mobile object and a three-dimensional model of the tunnel.

Abstract: A declination of an object, an orientation of the object and/or a position of the object can be determined using a gyroscope. In this regard, the gyroscope can be mounted to the object. The gyroscope can be pivoted. An undetermined pivoting of the object about an axis with the gyroscope can be measured. A component of a rotation of Earth acting on the gyroscope can be determined using the undetermined pivoting and the pivoting angular velocity (wcarousel). At least one parameter set can be determined. The pivoting angular velocity (wcarousel) of the gyroscope about the swivel axis with a second sensor can be determined.

Abstract: A method for positioning a mobile object in an underground tunnel includes the steps of determining horizontal progression of a mobile object in an underground tunnel from a preceding position estimate or an initial position of the mobile object; determining horizontal position of the mobile object on the basis of a floor model of the tunnel and the estimated horizontal progression of the mobile object; and generating a three-dimensional position indicator on the basis of the horizontal position of the mobile object and a three-dimensional model of the tunnel.

Abstract: The invention relates to an inertial unit for being attached to a rotatable part of a vehicle, the rotatable part being coupled to a power equipment of the vehicle, the inertial unit including: at least one acceleration sensor and/or at least one magnetometer arranged to detect a tilting angle of the rotatable part, and/or at least one counter device arranged to detect rotations of the rotatable part, and at least one gyroscope arranged to detect directions at a rim level of the rotatable part for providing angular information for positioning.

Abstract: Various embodiments concern positioning. The method comprises receiving information relating to radio fingerprint of an apparatus from at least two apparatuses (103); determining estimated positions of said at least two apparatuses according to received information (104); selecting an apparatus from said at least two apparatuses (105); requesting information relating to position of the selected apparatus (106); and iterating the steps for determining, selecting and requesting until estimated positions are determined to be reliable (104-109). In a method for sharing information between devices for positioning purposes nearby device names are scanned and an own name field is modified so that the name field contains information on the scanned nearby device names.

Abstract: The invention relates to an inertial unit for being attached to a rotatable part of a vehicle, the rotatable part being coupled to a power equipment of the vehicle, the inertial unit including: at least one acceleration sensor and/or at least one magnetometer arranged to detect a tilting angle of the rotatable part, and/or at least one counter device arranged to detect rotations of the rotatable part, and at least one gyroscope arranged to detect directions at a rim level of the rotatable part for providing angular information for positioning.

Abstract: Various embodiments relate to a context recognition. Classification of a context is performed by using features received from at least one sensor of a client device, and model parameters being defined by a training data to output a result and a likelihood of the context. The result is shown to the user, who provides feedback regarding the result. The features, result, likelihood, and the feedback are stored, whereby the model parameters are adapted using the features, result, likelihood and the feedback to obtain adapted model parameters. The result, likelihood and the feedback can also be used for performing confidence estimation to obtain a confidence value. The confidence value can then be used for performing an action, e.g. adding a new sensor, adding a new feature, changing a device profile, launching an application.

Abstract: A toothbrushing monitoring device for a user includes a sensor coupled with the toothbrush for measuring toothbrushing patterns, a recording device coupled with the sensor, and a comparator. The recording device records data relating to the user's preferred toothbrushing patterns in a first mode, which is used to establish toothbrushing pattern reference data. The comparator compares toothbrushing patterns measured by the sensor and the toothbrushing pattern reference data, which may be output to an output device. In one example, the sensor consists of only an accelerometer.

Abstract: A toothbrushing monitoring device for a user includes a sensor coupled with the toothbrush for measuring toothbrushing patterns, a recording device coupled with the sensor, and a comparator. The recording device records data relating to the user's preferred toothbrushing patterns in a first mode, which is used to establish toothbrushing pattern reference data. The comparator compares toothbrushing patterns measured by the sensor and the toothbrushing pattern reference data, which may be output to an output device. In one example, the sensor consists of only an accelerometer.

Abstract: A toothbrushing monitoring device for a user includes a sensor coupled with the toothbrush for measuring toothbrushing patterns, a recording device coupled with the sensor, and a comparator. The recording device records data relating to the user's preferred toothbrushing patterns in a first mode, which is used to establish toothbrushing pattern reference data. The comparator compares toothbrushing patterns measured by the sensor and the toothbrushing pattern reference data, which may be output to an output device. In one example, the sensor consists of only an accelerometer.

Abstract: The present invention describes a method to calibrate an angular measurement device using acceleration measurement device. The angular rate measurement device includes at least one angular measurement sensor, wherein the acceleration measurement device is able to distinguish the direction and strength of gravity. By performing the calibration method the scale factor(s) of the angular measurement device and the strength and direction of gravity can be obtained and/or corrected. An embodiment according to the method of the present invention describes optional use of a communication network to perform necessary evaluation and calculation steps at a remote device.

Abstract: The present invention describes a method to calibrate an angular measurement device using acceleration measurement device. The angular rate measurement device includes at least one angular measurement sensor, wherein the acceleration measurement device is able to distinguish the direction and strength of gravity. By performing the calibration method the scale factor(s) of the angular measurement device and the strength and direction of gravity can be obtained and/or corrected. An embodiment according to the method of the present invention describes optional use of a communication network to perform necessary evaluation and calculation steps at a remote device.