19,890 research outputs found
Multi Stage based Time Series Analysis of User Activity on Touch Sensitive Surfaces in Highly Noise Susceptible Environments
This article proposes a multistage framework for time series analysis of user
activity on touch sensitive surfaces in noisy environments. Here multiple
methods are put together in multi stage framework; including moving average,
moving median, linear regression, kernel density estimation, partial
differential equations and Kalman filter. The proposed three stage filter
consisting of partial differential equation based denoising, Kalman filter and
moving average method provides ~25% better noise reduction than other methods
according to Mean Squared Error (MSE) criterion in highly noise susceptible
environments. Apart from synthetic data, we also obtained real world data like
hand writing, finger/stylus drags etc. on touch screens in the presence of high
noise such as unauthorized charger noise or display noise and validated our
algorithms. Furthermore, the proposed algorithm performs qualitatively better
than the existing solutions for touch panels of the high end hand held devices
available in the consumer electronics market qualitatively.Comment: 9 pages (including 9 figures and 3 tables); International Journal of
Computer Applications (published
Characteristics of flight simulator visual systems
The physical parameters of the flight simulator visual system that characterize the system and determine its fidelity are identified and defined. The characteristics of visual simulation systems are discussed in terms of the basic categories of spatial, energy, and temporal properties corresponding to the three fundamental quantities of length, mass, and time. Each of these parameters are further addressed in relation to its effect, its appropriate units or descriptors, methods of measurement, and its use or importance to image quality
Residual acceleration data on IML-1: Development of a data reduction and dissemination plan
The research performed consisted of three stages: (1) identification of sensitive IML-1 experiments and sensitivity ranges by order of magnitude estimates, numerical modeling, and investigator input; (2) research and development towards reduction, supplementation, and dissemination of residual acceleration data; and (3) implementation of the plan on existing acceleration databases
Human Factors Compatibility Concerns in the Selection of Display Technologies for Computer and Data Terminals
Human factors considerations are often overlooked in the selection of electronic computer displays. When cost is used as the only determining factor, the resulting product may not be commercially successful because of an inadequate display.
To help avoid this situation, designers and users should be aware of the various factors involved in proper display selection. These factors were developed by a synthesis of existing scientific and industrial literature on the subject and are explained in this paper.
The first factor is a basic knowledge of the structure, characteristics, and function of the human visual system. The theory of sight, anatomy of the eye, visual perception, and photometric and nonphotometric parameters are covered. The human factors elements of visual response comprise the second factor. The adverse effects of display use as well as ergonomic standards, fonts, color, modes, and the use of status indicators are discussed. The last factor concerns displays. The various available and projected technologies along with comparisons, and applications are presented. Display evaluation criteria are listed to provide guidelines for proper selection
A Review of Smart Materials in Tactile Actuators for Information Delivery
As the largest organ in the human body, the skin provides the important
sensory channel for humans to receive external stimulations based on touch. By
the information perceived through touch, people can feel and guess the
properties of objects, like weight, temperature, textures, and motion, etc. In
fact, those properties are nerve stimuli to our brain received by different
kinds of receptors in the skin. Mechanical, electrical, and thermal stimuli can
stimulate these receptors and cause different information to be conveyed
through the nerves. Technologies for actuators to provide mechanical,
electrical or thermal stimuli have been developed. These include static or
vibrational actuation, electrostatic stimulation, focused ultrasound, and more.
Smart materials, such as piezoelectric materials, carbon nanotubes, and shape
memory alloys, play important roles in providing actuation for tactile
sensation. This paper aims to review the background biological knowledge of
human tactile sensing, to give an understanding of how we sense and interact
with the world through the sense of touch, as well as the conventional and
state-of-the-art technologies of tactile actuators for tactile feedback
delivery
Multidimensional Optical Sensing and Imaging Systems (MOSIS): From Macro to Micro Scales
Multidimensional optical imaging systems for information processing and visualization technologies have numerous applications in fields such as manufacturing, medical sciences, entertainment, robotics, surveillance, and defense. Among different three-dimensional (3-D) imaging methods, integral imaging is a promising multiperspective sensing and display technique. Compared with other 3-D imaging techniques, integral imaging can capture a scene using an incoherent light source and generate real 3-D images for observation without any special viewing devices. This review paper describes passive multidimensional imaging systems combined with different integral imaging configurations. One example is the integral-imaging-based multidimensional optical sensing and imaging systems (MOSIS), which can be used for 3-D visualization, seeing through obscurations, material inspection, and object recognition from microscales to long range imaging. This system utilizes many degrees of freedom such as time and space multiplexing, depth information, polarimetric, temporal, photon flux and multispectral information based on integral imaging to record and reconstruct the multidimensionally integrated scene. Image fusion may be used to integrate the multidimensional images obtained by polarimetric sensors, multispectral cameras, and various multiplexing techniques. The multidimensional images contain substantially more information compared with two-dimensional (2-D) images or conventional 3-D images. In addition, we present recent progress and applications of 3-D integral imaging including human gesture recognition in the time domain, depth estimation, mid-wave-infrared photon counting, 3-D polarimetric imaging for object shape and material identification, dynamic integral imaging implemented with liquid-crystal devices, and 3-D endoscopy for healthcare applications.B. Javidi wishes to acknowledge support by the National
Science Foundation (NSF) under Grant NSF/IIS-1422179, and
DARPA and US Army under contract number
W911NF-13-1-0485. The work of P. Latorre Carmona, A.
MartÃnez-Uso, J. M. Sotoca and F. Pla was supported by the
Spanish Ministry of Economy under the project
ESP2013-48458-C4-3-P, and by MICINN under the project
MTM2013-48371-C2-2-PDGI, by Generalitat Valenciana
under the project PROMETEO-II/2014/062, and by Universitat
Jaume I through project P11B2014-09. The work of M.
MartÃnez-Corral and G. Saavedra was supported by the Spanish
Ministry of Economy and Competitiveness under the grant
DPI2015-66458-C2-1R, and by the Generalitat Valenciana,
Spain under the project PROMETEOII/2014/072
- …