Hesitations in continuous tracking induced by a concurrent discrete task
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National Aeronautics and Space Administration, National Technical Information Service, distributor , [Washington, DC, Springfield, Va
|Statement||Stuart T. Klapp, Patricia A. Kelly, and Allan Netick|
|Series||NASA contractor report -- NASA CR-177019|
|Contributions||Kelly, Patricia A, Netick, Allan, United States. National Aeronautics and Space Administration|
|The Physical Object|
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Hum Factors. Jun;29(3) Hesitations in continuous tracking induced by a concurrent discrete task. Klapp ST, Kelly PA, Netick by: Hesitations in continuous tracking induced by a concurrent discrete task. Subjects performed a continuous visually-guided pursuit tracking task with the right hand.
From time to time (intervals averaging 30 sec) an auditory tone appeared signaling the subjects to perform a discrete response with the left hand. and this improvement in. Subjects performed a tracking task in which the discrete displacements of the tracking cursor could be used to elicit event-related brain potentials.
As the resource demands of the tracking task were increased, potentials elicited by the task-defined events increased in amplitude, whereas those elicited by secondary task auditory stimuli by: Hesitations in continuous tracking induced by a concurrent discrete task visually-guided pursuit tracking task with the right hand.
of these hesitations was about the same when the left. Procedural text, which describes entities and their interactions as they undergo some process, depicts entities in a uniquely nuanced way. First, each entity may have some observable discrete attributes, such as its state or location; modeling these involves imposing global structure and enforcing consistency.
Second, an entity may have properties which are not made explicit but can be Cited by: 4. Tracking Discrete and Continuous Entity State for Process Understanding.
Description Hesitations in continuous tracking induced by a concurrent discrete task PDF
an entity may have properties which are not made explicit but can be effectively induced and tracked by neural networks. In this paper, we propose a structured neural architecture that reflects this dual nature of entity evolution.
We evaluate the performance of. Discrete-Continuous Optimization for Multi-Target Tracking Anton Andriyenko 1Konrad Schindler2 Stefan Roth 1Department of Computer Science, TU Darmstadt 2Photogrammetry and Remote Sensing Group, ETH Zurich¨ Abstract The problem of multi-target tracking is comprised of two distinct, but tightly coupled challenges: (i) the naturally dis.
The present study compared continuous and discontinuous data collection systems on acquisition, generalization, and maintenance of tacts, and on‐task behavior, during discrete trial teaching with three children with autism. A constant prompt‐delay procedure was used to teach tacts.
A race condition occurs when concurrent tasks perform operations on the same memory location without proper synchronization, and one of the memory operations is a write.
Code with a race may operate correctly sometimes but fail unpredictably at other times. Consider the code in Tablewhere two tasks attempt to add 1 and 2 respectively to a shared variable X. discrete serial continuous Schmidt defines discrete tasks as having a "recognizable beginning and end" (p.
46) and includes throwing, striking a match, and shifting gears while driving as examples. Serial tasks are composed of a series of discrete tasks, and should be amenable to partitioning or part-task training. Schmidt (p. ofboard, whichwecall Task 2. Thethru-hole workstation also performs two tasks: thru-holemountingfor thesecondboard, denotedbyTask3, andthru-holemounting andinspection for the second board, Task 4.
Thus, to be completed, the first board must go through Tasks 1 and 4, andthe second must go through Tasks 1, 3, and 2, in that order. Abstract: The problem of multi-target tracking is comprised of two distinct, but tightly coupled challenges: (i) the naturally discrete problem of data association, i.e.
assigning image observations to the appropriate target; (ii) the naturally continuous problem of trajectory estimation, i.e. recovering the trajectories of all targets. To go beyond simple greedy solutions for data association. The efficacy of the resource-scarcity and outcome-conflict views in explaining dual-task interference was examined.
A discrete—continuous task pair was purposely chosen to allow fine-grained analysis of time-shared performance. The relative priority of the dual task was manipulated by a secondary task technique to test for performance tradeoff that would be indicative of resource allocation.
We present a data-driven dynamic coupling between discrete and continuous methods for tracking objects of high dofs, which overcomes the limitations of previous techniques.
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Part of the Computational Imaging and Vision book series (CIVI In our approach, two trackers work in parallel, and the coupling between them is based on the tracking. Description: Having established representations and analytical methods for discrete-time and continuous-time systems, today's lecture uses the example of a leaky tank to show how Euler and trapezoidal approximations can convert a continuous system to a discrete.
Highlights We compare discrete and continuous time MIP models for production scheduling. The models are tested for a large real world production scheduling problem. Results show pros and cons of each model.
The continuous model can be used to solve larger test cases. The continuous model is more accurate for the problem under consideration. to evaluating the hypotheses arising in the context of tracking constrained motion with a discrete dynamics model.
Details Hesitations in continuous tracking induced by a concurrent discrete task PDF
The second system, that oﬀers a new approach to the task of general articulated tracking, is a joint work with D. Demirdjian, L. Taycher, K. Grauman and T.
Darrell. It was published in , and is described here in Section Stats Discrete or Continuous. STUDY. Flashcards. Learn. Write. Spell. Test. PLAY.
Match. Gravity. Created by. joannesalazar. Key Concepts: Terms in this set (8) Discrete meaning. Assume values that can be counted.
Continuous meaning. Can assume an infinite number of values between any two specific values. They are obtained by measuring. Hesitations in continuous tracking induced by a concurrent discrete task Subjects performed a continuous visually-guided pursuit tracking task with the right hand.
From time to time (intervals averaging 30 sec) an auditory tone appeared signaling the subjects to perform a discrete. The objective of this study is to understand the different behavioral considerations that govern the choice of people to engage in a crowd-shipping market.
Using novel data collected by the researchers in the US, we develop discrete-continuous models. A binary logit model has been used to estimate crowd-shippers' willingness to work, and an ordinary least-square regression model has been.
Hesitations in Continuous Tracking Induced by a Concurrent Discrete Task. Stuart T. Klapp. Stuart T. Klapp. California State University, Hayward, California See all articles by this author. Search Google Scholar for this author, Patricia A.
Kelly. Patricia A. Kelly. In two experiments we investigated factors that undermine conclusions about implicit motor learning in the continuous tracking paradigm. In Experiment 1, we constructed a practice phase in which al. Interventional Tool Tracking using Discrete Optimization Hauke Heibel, Ben Glocker, Martin Groher, Marcus Pﬁster and Nassir Navab Abstract—This work presents a novel scheme for tracking of motion and deformation of interventional tools such as guide-wires and catheters in ﬂuoroscopic X-ray sequences.
Being able. Discrete Versus Continuous Stage Models of Human Information Processing: In Search of Partial Output Jeff Miller University of California, San Diego This article introduces a new technique designed to study the flow of information through processing stages in choice reaction time tasks.
In this paper a detailed analysis was made of errors and their correction which were found in a discrete tracking task where the movements were graded and performed with one anatomical unit.
Records were obtained of displacement, acceleration and muscle activity underlying the responses. In common with the keyboard results, the errors were.
Determine if the following set of data is discrete or continuous: The age of a person. Show Answer. Example 5. Determine if the following set of data is discrete or continuous: The number of words in a book.
Show Answer. BACK; NEXT ; Cite This Page Site. A continuous pursuit-tracking task is the typical experimental paradigm to investigate implicit motor learning. Implicit motor learning is proven by a greater improvement in tracking of a repeated segment of a target path compared to random segments (Pew, ).
Recently, doubts about the validity of results obtained with this paradigm have. Zooming. coord_cartesian() contains the arguments xlim and arguments control the limits for the x- and y-axes and allow you to zoom in or out of your plot. For example, say we want to change the above plot to zoom in on just the cars with an engine displacement value of.
Discrete data have finite values, or buckets. You can count them. Continuous data technically have an infinite number of steps, which form a continuum.
The number of questions correct would be discrete--there are a finite and countable number of questions. Time to complete a task is continuous since it could take seconds. Discrete Optimization Methods and their Role (discrete or continuous), and is often dominated by discrete decisions.
We then brieﬂy review the major recent developments in mixed-integer linear and nonlinear programming, disjunctive programming and constraint programming, as well as parallel for the solution of this two-stage. Therefore, in a discrete event simulation, you can use continuous variables (having floating-point numbers as their values), e.g., the annual revenue of a business.
See also tasks (using tasks of short duration but enforcing sequential multitasking through the experimental paradigm itself). More complex studies have examined analogous measures for real-world human-computer interaction tasks [e.g., 1, 9, 12, 13, 22].
Again, like for concurrent multitasking.In this pa-per we instead formulate multi-target tracking as a discrete-continuous optimization problem that handles each aspect in its natural domain and allows leveraging powerful meth-ods for multi-model fitting.
Data association is performed using discrete optimization with label costs, yielding near optimality.
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