Motion classification methods for personal navigation
US7561960B2 · kind B2 · utility
Assignee
Inventor
Key dates
| Filing date | Sep 22, 2006 |
| Grant date | Jul 14, 2009 |
| Priority date | — |
| Expiry date | Aug 23, 2027 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG01C25/005
- WIPO fieldMeasurement
- WIPO sectorInstruments
Abstract
A personal navigation system including one or more sensors that sense motion of a human and output signals corresponding to the motion of the human and a human-motion-classification processing block that receives sensor data from the one or more sensors. The human-motion-classification processing block includes a Kalman filter processing block, an inertial navigation processing block, and a motion classification processing block. The Kalman filter processing block executes a Kalman filter that provides corrections to the motion classification processing block. The inertial navigation processing block receives input sensor data from the sensors and outputs a navigation solution. The motion classification processing block executes a motion classification algorithm that implements a step-time threshold between two types of motion, identifies a type of motion based on the received sensor data, and outputs a distance-traveled estimate to the Kalman filter processing block based on the identified type of motion.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.