Sentence examples for motion tracking using from inspiring English sources

Some of the projects I am working on are focused on motion tracking using soft sensors.

The FUS lab has been testing techniques of 3D motion tracking using an array of low frequency ultrasound transducers positioned around ex vivo human skulls.

For the program motion planned by the motion planner a closed-loop program motion tracking using a class of feedback controllers has been designed.

A review of the literature showed that the validation methods used for existing techniques are frequently incomplete, and this paper presents a novel validation method for MR imaging based on motion tracking using a marker tracking algorithm which itself is validated against simulated MR image data.

Respiratory motion tracking uses similar external or internal markers as respiratory gating, but instead of specifying a finite window for imaging and treatment delivery, the tumor position is imaged over all breathing phases[59] and tracked during delivery in near real-time[60].

Certainly, individual components of the system (e.g. use of the optical flow algorithm on magnetic resonance images) are not new, but the unique combination of these techniques, and the adaptation of multi-resolution motion tracking used in our study is the key novelty.

Computer simulations and real-time experimental results verify the effectiveness of the proposed scheme for high precision motion trajectory tracking using the PMLM.

Grest et al. [13] proposed a human motion tracking method using a combination of depth and silhouette information.

It focuses on the optimisation of robot motions for continuous contour tracking using the redundancy caused by the tool axial symmetry.

The subject's head motion was tracked using an analogical in-bore camera and a checkerboard marker attached to the forehead of the patient; such an approach is described by Forman et al. [ 12].

Based on these functions, we developed two low-level applications: (1) particle filter-based human localization and tracking using wearable motion sensors and distributed binary sensors; (2) Dynamic Bayesian Network-based human activity recognition using microphones and distributed binary sensors.