These results evidenced how the introduction of such optimised procedure could improve the reliability of the calibrated platform location and, consequently, of the kinetic variables considered in posture and gait analysis.
Turvey and Mclaurin (2012) found that NDVI should not be widely applied unless calibrated using location specific data (Turvey and Mclaurin 2012).
The results show that the phase bias is about 66° between receiving channels 1 and 2, and is about 56° between receiving channels 3 and 2. Once the interferometer array is well calibrated, the locations of meteor echoes in the scattering volume can thus be determined accurately.
Calibrating the location periodically is a feasible way to improve the location accuracy in real applications.
In the following three sections, we will introduce the detailed methods of our proposed system, including how to collect sensing data, remove noises, estimate orientation, calculate distance and position, build the predication model, detect landmark, and calibrate the location.
We then establish a model to calibrate the location based on both GPS information and sensory data.
SmartLoc could calibrate the location as soon as it detects specific patterns for landmarks, especially traffic lights and turnings.
A tracked needle tool was used to calibrate the location of the four corners of the display relative to the IRED markers.
In addition, SmartLoc will detect the landmark by finding a specific pattern of the collected data sequence and calibrate the location accordingly.
Initially, during T 1, the system will train the model and calculate suitable parameters through the linear regression, and such parameters will be employed in estimating the trajectory in T 2. Periodically, SmartLoc will calibrate the location from dead-reckoning when GPS signal becomes good again in T 3, and the parameters will be updated.
