Field data capture

Motion Capture Data Manipulation

This paper presents an integrated set of tools to facilitate the manipulation and reuse of motion capture data. A functional representation in terms of nonuniform B-splines provides a compact and eecient description of motion sequences. A collection of B-spline curves attached to a hierarchical structure is used to represent the animation of articulated gures. A set of primitive operators actin...

Comparison of Electronic Data Capture (EDC) with the Standard Data Capture Method for Clinical Trial Data

BACKGROUND Traditionally, clinical research studies rely on collecting data with case report forms, which are subsequently entered into a database to create electronic records. Although well established, this method is time-consuming and error-prone. This study compares four electronic data capture (EDC) methods with the conventional approach with respect to duration of data capture and accurac...

Data-Driven Completion of Motion Capture Data

We present a data-driven method for completion of corrupted marker-based motion capture data. Our novel approach is especially suitable for challenging cases, e.g. if complete marker sets of multiple body parts are missing over a long period of time. Without the need for extensive preprocessing we are able to fix missing markers across different actors and motion styles. Our approach can be use...

Visual field asymmetry in attentional capture.

The present study examined the spatial distribution of involuntary attentional capture over the two visual hemi-fields. A new experiment, and an analysis of three previous experiments showed that distractors in the left visual field that matched a sought-for target in color produced a much larger capture effect than identical distractors in the right visual field, revealing a visual field asymm...

Research Electronic Data Capture (REDCap)