This experiment represents an attempt to overcome this limitation by assessing the roles of organization and similarity-based interference in dynamic memory. Due to a confound in the Yntema and Mueser experiment, the unique and combined effects of information organization and similarity-based interference cannot be determined, limiting the information about dynamic memory. identical attribute of many different objects. Previous research (Yntema & Mueser, 1960) found that in keeping track of dynamically changing information, humans' memory for changing information was better when they kept track of many different attributes of a single object than when they kept track of the. The requirement to remember continuously changing information places substantial demands on the human operator's working memory system. We discuss how our current prototypes could evolve to passive-RFID in the future. But the work was motivated by the advent of unpowered passive-RFID, a technology that promises to have significant impact in real-world applications. The ideas are demonstrated using objects with active radio frequency (RF) tags. to navigate or update the projected information. We introduce a novel technique that we call interactive projection to allow a user to interact with projected information e.g. Tag data is presented to the user by direct projection using a handheld locale-aware mobile projector. We show how addition of a photo-sensor to a wireless tag significantly extends its functionality to allow geometric operations - such as finding the 3D position of a tag, or detecting change in the shape of a tagged object. The enabling technology is a wireless tag which acts as a radio frequency identity and geometry (RFIG) transponder. This paper describes how to instrument the physical world so that objects become self-describing, communicating their identity, geometry, and other information such as history or user annotation. to navigate or update the projected information.The ideas are demonstrated using objects with active radio frequency (RF) tags. We use our untethered tag system, called Prakash, to demonstrate methods of adding special effects to captured videos that cannot be accomplished using pure vision techniques that rely on camera images. Photosensors attached to scene points demultiplex the coded optical signals from multiple transmitters, allowing us to compute not only receiver location and orientation but also their incident illumination and the reflectance of the surfaces to which the photosensors are attached. We strategically place a set of optical transmitters to spatio-temporally encode the volume of interest. Unlike previous methods that employ high speed cameras or scanning lasers, we capture the scene appearance using the simplest possible optical devices - a light-emitting diode (LED) with a passive binary mask used as the transmitter and a photosensor used as the receiver. The technique is therefore ideal for on-set motion capture or real-time broadcasting of virtual sets. Our tags also provide incident illumination data which can be used to match scene lighting when inserting synthetic elements. Our system supports an unlimited number of tags in a scene, with each tag uniquely identified to eliminate marker reacquisition issues. We use tracking tags that work in natural lighting conditions and can be imperceptibly embedded in attire or other objects. In this paper, we present a high speed optical motion capture method that can measure three dimensional motion, orientation, and incident illumination at tagged points in a scene.
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