Mcube, Inc.

Joe Kelly

Sanjay Bhandari

Rahul Bakshi

Jobe D Price

Mark D Schneider

A hand-held processor system for processing data from an integrated MEMS device disposed within a hand-held computer system and method. A dynamic offset correction (DOC) process computes 3-axis accelerometer biases without needing to know the orientation of the device. Arbitrary output biases can be corrected to ensure consistent performance A system of linear equations is formed using basic observations of gravity measurements by an acceleration measuring device, conditioned upon constraints in data quality, degree of sensed motion, duration, and time separation. This system of equations is modified and solved when appropriate geometric diversity conditions are met.

Dynamic offset correction for calibration of MEMS sensor

A hand-held processor system for processing data from an integrated MEMS (Micro-Electro-Mechanical-Systems) device disposed within a hand-held computer system and methods therefor. The Single Point Offset Correction (SPOC) process computes offset values to calibrate MEMS sensors using a single set of data measurements at an orientation without dynamic perturbation, and without requiring advance knowledge of orientation of the device. Arbitrary output biases, which are known to be dominant on a single axis, can be corrected to ensure consistent performance. The SPOC process provides a simple method to effectively calibrate a MEMS sensor without requiring extensive system resources. This process can be enhanced by additional estimations of sensor offsets using the set of data measurements or by use of rule-based empirical gain factors.

Single point offset calibration for inertial sensors

A computer-implemented method for determining an estimated user location performed on a computer system programmed to perform the method includes determining in physical sensors, movements in response to movement of the computer system, determining in a processor a physical context, in response to the movements, determining in the processor whether the physical context is substantially similar to a map-based context associated with a location on the map, when a map-based context is substantially similar to the physical context, the method includes determining in the processor the location on the map associated with the map-based context, determining in the processor a graphical user interface in response to the location on the map, and displaying the graphical user interface on a display of the computer system.

Indoor map data as a recalibration source for low-cost MEMS inertial navigation

A computer-implemented method for determining geographic locations of a device includes receiving with a GPS receiver within the device, satellite signals from a plurality of GPS satellites, determining with the device, an approximate geographic location in response to the satellite signals, determining in the device, a potential GPS signal reduction condition in response to the satellite signals and to a GPS signal threshold, determining with physical perturbation sensors in the device, physical perturbations, determining with the device, an augmented geographic location in response to the approximate geographic location, the physical perturbations, and a weighting factor, determining with the device, a user display in response to the augmented geographic location, and outputting on a display of the device, the user display.

Indoor navigation techniques to calibrate/recalibrate inertial sensors and navigation processing

A computer-implemented method and system for determining navigation/positional data, implemented in a computing system programmed to perform the method. The method includes receiving a plurality of signal strength measurements and user ID data from a hand-held user device, determining user navigation/position data using the plurality of signal strength measurements from the hand-held user device, and transferring the user navigation/position data to the hand-held user device in response to a request signal associated with the user ID data. The user navigation/position data can include 2-D position, 3-D position, relative position, heading, orientation, speed, bearing, and the like. Benefits of this method and system include user hardware independence, reduced computational load on user hardware, and network-level tracking of aggregated traffic patterns.

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Center Point, IA, United States of America

Joe Kelly