Maximally Smooth Cycles, Hexatonic Systems, and the Analysis of Late-Romantic Triadic Progressions

1996 ◽  
Vol 15 (1) ◽  
pp. 9 ◽  
Author(s):  
Richard Cohn
Keyword(s):  
Maximally Smooth

scholarly journals Integrated jerk as an indicator of affinity for artificial agent kinematics: laptop and virtual reality experiments involving index finger motion during two-digit grasping

PeerJ ◽  
2020 ◽  
Vol 8 ◽  
pp. e9843
Author(s):  
James Hirose ◽  
Atsushi Nishikawa ◽  
Yosuke Horiba ◽  
Shigeru Inui ◽  
Todd C. Pataky
Keyword(s):  
Virtual Reality ◽  
Index Finger ◽  
Artificial Agents ◽  
Uncanny Valley ◽  
Artificial Agent ◽  
Hand Model ◽  
Minimum Jerk ◽  
Human Likeness ◽  
Finger Motion ◽  
Maximally Smooth

Uncanny valley research has shown that human likeness is an important consideration when designing artificial agents. It has separately been shown that artificial agents exhibiting human-like kinematics can elicit positive perceptual responses. However the kinematic characteristics underlying that perception have not been elucidated. This paper proposes kinematic jerk amplitude as a candidate metric for kinematic human likeness, and aims to determine whether a perceptual optimum exists over a range of jerk values. We created minimum-jerk two-digit grasp kinematics in a prosthetic hand model, then added different amplitudes of temporally smooth noise to yield a variety of animations involving different total jerk levels, ranging from maximally smooth to highly jerky. Subjects indicated their perceptual affinity for these animations by simultaneously viewing two different animations side-by-side, first using a laptop, then separately within a virtual reality (VR) environment. Results suggest that (a) subjects generally preferred smoother kinematics, (b) subjects exhibited a small preference for rougher-than minimum jerk kinematics in the laptop experiment, and that (c) the preference for rougher-than minimum-jerk kinematics was amplified in the VR experiment. These results suggest that non-maximally smooth kinematics may be perceptually optimal in robots and other artificial agents.

Running Speed of Goal-Seeking Rats: A Field Theoretical Analysis

1976 ◽  
Vol 43 (2) ◽  
pp. 343-349 ◽  
Author(s):  
Donald W. Griesinger
Keyword(s):  
Scalar Field ◽  
Theoretical Analysis ◽  
Potential Energy ◽  
Equation Of Motion ◽  
Running Speed ◽  
Newtonian Equation ◽  
Psychological Force ◽  
Definition Of ◽  
Maximally Smooth

Lewin introduced into psychology the concept of psychological force but was unable to specify an equation of motion, relating force to behavior. Physical analogs prove helpful in developing Lewin's ideas. The effort exerted by a hungry rat seeking food at the end of a linear runway can be defined as proportional to the gradient of a maximally smooth scalar field, whose source is the food in the goal box. This assumption leads to a direct analog between potential energy and utility in psychology. If a Newtonian equation of motion is used with this definition of force, the results compare favorably with Hull's data on rats' running behavior.

Smooth inversion of induction logs for conductivity models with mud filtrate invasion

Geophysics ◽  
2000 ◽  
Vol 65 (5) ◽  
pp. 1468-1475 ◽  
Author(s):  
Catherine D. de Groot—Hedlin
Keyword(s):  
Born Approximation ◽  
Field Data ◽  
Number Of Solutions ◽  
Data Inversion ◽  
Conductivity Structure ◽  
Induction Logging ◽  
Mud Filtrate ◽  
Induction Logs ◽  
Maximally Smooth ◽  
Conductivity Models

A robust, efficient method of inversion of induction logging data for smooth 2-D models, appropriate to an environment in which mud filtrate invades flat‐lying layers, is described. An infinite number of solutions exist to the problem of determining a conductivity structure from a finite number of imprecise induction data. Therefore, the inverse problem is regularized such that the smoothest model is sought subject to the condition that the resulting computed log agrees with the field log to a given preset level. At each iteration, the Jacobian sensitivities are approximated using the distorted Born approximation. In most cases, the algorithm converges in 3 to 4 iterations. The resulting maximally smooth models reflect the resolution power of the induction data and are unlikely to result in overinterpretation of the data. Inversion of both synthetic and field data indicates that layer boundaries are well resolved but radial boundaries are poorly resolved by conventional induction logging data.

Maximally smooth image recovery in transform coding

1993 ◽  
Vol 41 (10) ◽  
pp. 1544-1551 ◽  
Author(s):  
Y. Wang ◽  
Q.-F. Zhu ◽  
L. Shaw
Keyword(s):  
Transform Coding ◽  
Image Recovery ◽  
Maximally Smooth

Planning Maximally Smooth Hand Movements Constrained to Nonplanar Workspaces

2008 ◽  
Vol 40 (6) ◽  
pp. 516-531 ◽  
Author(s):  
Dario G. Liebermann ◽  
Tal Krasovsky ◽  
Sigal Berman
Keyword(s):  
Hand Movements ◽  
Maximally Smooth

scholarly journals Maximally Smooth Forward Rate Curves for Coupon Bearing Bonds

2016 ◽  
Vol 1 (1) ◽  
Author(s):  
Abusaaq Hussain ◽  
◽  
Beaumont Paul M. ◽  
Jerassy-Etzion Yaniv ◽  
◽  
...  
Keyword(s):  
Forward Rate ◽  
Maximally Smooth
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