Combination Of Projectors Research Articles

User Centered Virtual Coaching for Older Adults at Home Using SMART Goal Plans and I-Change Model.

Preventive care and telemedicine are expected to play an important role in reducing the impact of an increasingly aging global population while increasing the number of healthy years. Virtual coaching is a promising research area to support this process. This paper presents a user-centered virtual coach for older adults at home to promote active and healthy aging and independent living. It supports behavior change processes for improving on cognitive, physical, social interaction and nutrition areas using specific, measurable, achievable, relevant, and time-limited (SMART) goal plans, following the I-Change behavioral change model. Older adults select and personalize which goal plans to join from a catalog designed by domain experts. Intervention delivery adapts to user preferences and minimizes intrusiveness in the user’s daily living using a combination of a deterministic algorithm and incremental machine learning model. The home becomes an augmented reality environment, using a combination of projectors, cameras, microphones and support sensors, where common objects are used for projection and sensed. Older adults interact with this virtual coach in their home in a natural way using speech and body gestures on projected user interfaces with common objects at home. This paper presents the concept from the older adult and the caregiver perspectives. Then, it focuses on the older adult view, describing the tools and processes available to foster a positive behavior change process, including a discussion about the limitations of the current implementation.

Combination of projectors, standard texture descriptors and bag of features for classifying images

In this work we first propose a new approach to improve the information that can be extracted from the texture descriptors used for describing a given image. These descriptors are used to study the usefulness to combine a classifier trained with “standard” application of texture descriptors (i.e. a global extraction of descriptors from the whole image or a set of descriptors locally extracted from each sub-window of the image and then concatenated) and a bag-of-features approach. In our bag-of-features approach a set of features is extracted from each sub-window of the image, these sets are quantized, and the resulting global descriptor vectors are used to train a support vector machine based classifier. For improving the information that could be extracted from an image we propose to use projectors. A projector Pi maps a vector y to the subspace defined by Pi and a space of orthogonal projectors induce a probability distribution for every y. Since it is difficult to describe each class with only one projector we extract different clusters from each class and from each cluster a different projection space is found.The Matlab code for the bag of feature approach will be publicly available at https://www.dei.unipd.it/node/2357

Performance of combinations of projectors and receivers

It has been shown previously that two different configurations of three transducers each can be used to estimate the angle to an object with the same accuracy. The configurations are: 1) one projector and two receivers, and 2) two projectors (transmitting orthogonal waveforms) and one receiver. The second configuration is desirable in the case where the receiver is complex. This communication demonstrates that the results obtained previously can be extended to the case of four transducers. That is, the three possible combinations of four transducers, namely: 1) three receivers, one projector, 2) two receivers, two projectors, and 3) one receiver, three projectors, can be made to have identical performance in terms of angle estimation. It is well known that an array of three receivers can be used to steer a null in the direction of an interfering object, thus allowing the angle of an object of interest to be estimated. The fact that the three configurations treated herein are equivalent means that one can, for example, form a null in the direction of an interfering object using only one receiver and three projectors.

Norm of a linear combination of projectors in Hilbert space

Norm of a linear combination of projectors in Hilbert space

A Projection Color Mixer

Laboratory and classroom demonstrations of color vision usually require a number of separate pieces of equipment. The conventional colorwheels, colorimeters, color blindness test-plates, and combinations of projectors are cumbersome and are of limited effectiveness as demonstrations for large classes. The purpose of this note is to describe the construction of a relatively simple device that provides additive color of sufficient intensity to be used on a screen. It is a single portable instrument that demonstrates the principal facts of color vision. It may also be used as a group-test for the various forms of color blindness. It has been constructed from commercially available components.*

The Development and Practical Application of the Triple-Head Background Projector<!--<xref ref-type="other" rid="fn1-10.5594_J10093">*</xref>-->

Up to a recent date, background process work had been limited to the size of a picture that could be successfully illuminated through a single projecting machine. — The origination of a combination of projectors superimposing identical prints of the same background on the screen simultaneously compounded the light delivery of a single machine and therefore greatly expanded the scope of background process photography for natural color and black-and-white.