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Journal articles on the topic 'Smoothness of motion'

Author: Grafiati

Published: 30 May 2022

Last updated: 31 July 2025

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1

WEN, Chung-Lin, Bing-Yu CHEN, and Yoichi SATO. "Video Segmentation with Motion Smoothness." IEICE Transactions on Information and Systems E93-D, no. 4 (2010): 873–81. http://dx.doi.org/10.1587/transinf.e93.d.873.

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Luo, Jiayuan, Xiangyang Xu, Peitang Wei, Chengxiang Shi, and Guofeng Liu. "Machining Path Optimization of 3C Locking Robots Using Adaptive Ant Colony Optimization." Mobile Information Systems 2021 (September 27, 2021): 1–12. http://dx.doi.org/10.1155/2021/2642805.

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The motion smoothness of 3C locking robot directly affects the machining performance. Improving the motion smoothness can optimize the motion trajectory and reduce the processing time. In this paper, a novel machining path optimization model including motion smoothness is built by employing the coordinate boundary of velocity and acceleration after evaluating the machining motion smoothness of the 3C locking robot. Secondly, based on the creation of the ant colony of adaptive function algorithm, the optimization model of the 3C locking robot in the situation of fixed bolt hole position and flo

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Scano, Alessandro, Cristina Brambilla, Henning Müller, and Manfredo Atzori. "Mapping of the Upper Limb Work-Space: Benchmarking Four Wrist Smoothness Metrics." Applied Sciences 12, no. 24 (2022): 12643. http://dx.doi.org/10.3390/app122412643.

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Smoothness is a commonly used measure of motion control. Physiological motion is characterized by high smoothness in the upper limb workspace. Moreover, there is evidence that smoothness-based models describe effectively skilled motion planning. Typical smoothness measures are based on wrist kinematics. Despite smoothness being often used as a measure of motor control and to evaluate clinical pathologies, so far, a smoothness map is not available for the whole workspace of the upper limb. In this work, we provide a map of the upper limb workspace comparing four smoothness metrics: the normaliz

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Zhu, Libin, and Lihui Liu. "Effect Measurement for Human Motion Rehabilitation Training Using Improved Deep Reinforcement Learning and IoT Networks." Security and Communication Networks 2022 (June 22, 2022): 1–9. http://dx.doi.org/10.1155/2022/3548675.

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Measuring the effect of human motion rehabilitation training is important to help persons develop motion rehabilitation training plans. The current human motion rehabilitation training effect measurement algorithm has the problems of too large gap between the smoothness of the motion speed curve and the reality, high key frame extraction error rate, low measurement accuracy, long measurement time, and low satisfaction. Therefore, this paper proposes a human motion rehabilitation training effect measurement algorithm using improved deep reinforcement learning and Internet of Things (IoT) networ

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Behboodi, Ahad, Ashwini Sansare, and Samuel C. K. Lee. "Quantification of Cycling Smoothness in Children with Cerebral Palsy." Biomechanics 3, no. 1 (2023): 79–92. http://dx.doi.org/10.3390/biomechanics3010008.

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Smoothness is a hallmark of skilled, coordinated movement, however, mathematically quantifying movement smoothness is nuanced. Several smoothness metrics exist, each having its own limitations and may be specific to a particular motion such as upper limb reaching. To date, there is no consensus on which smoothness metric is the most appropriate for assessing cycling motion in children with cerebral palsy (CP). We evaluated the ability of four preexisting metrics, dimensionless jerk, spectral arc length measure, roughness index, and cross-correlation; and two new metrics, arc length and root me

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Siti, Nor Zawani Ahmmad, Su Lee Ming Eileen, and Che Fai Yeong. "Effect of Intermittent Haptic Disturbance in Motor Skill Training." Applied Mechanics and Materials 432 (September 2013): 403–8. http://dx.doi.org/10.4028/www.scientific.net/amm.432.403.

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The aim of this study is to evaluate the effectiveness of haptic disturbance where the intermittent force field will applied in training motor skill. A test group (4 subjects) was trained using intermittent divergent force field while a control group (4 subjects) was trained in null force field. The parameter such as error trajectories, motion smoothness and the trial time were measured and a statistical analysis was done in order to identify motion improvement when using the proposed training method. Both groups showed motion improvement in reducing mean error, mean number of zero crossing (i

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Ajayi, Joseph O. "Fabric Smoothness, Friction, and Handle." Textile Research Journal 62, no. 1 (1992): 52–59. http://dx.doi.org/10.1177/004051759206200108.

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In general investigation of factional properties of fabrics, we demonstrate the influence of experimental variables on some new frictional parameters. Subjectively, fabrics with similar (or different) coefficients of friction yield different (or similar) tactile sensations of smoothness. Objectively, an examination of the stick-slip motion shows a good correlation between the number of stick-slip peaks and yarn sett (woven fabrics) or number of ribs (knitted fabrics). A relation also exists between the amplitude of the stick-slip motion and some structural protrusions, i.e., twills and ribs. T

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Ghalenoei, E., M. A. Sharifi, and M. Hasanlou. "Investigation of Optical Flow Techniques for Extracting Non-Rigid Sea Surface Currents." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XL-2/W3 (October 22, 2014): 121–26. http://dx.doi.org/10.5194/isprsarchives-xl-2-w3-121-2014.

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This paper is about performance evaluation of two optical flow (OF) methods for extracting sea surface curved motions like eddies. By incorporating a simple matrix and its rotation in programming procedure, curved motion can be obtained. These two OF methods are Horn/Schunk and Lucas/Kanade. The Horn/Schunk method depends on a smoothness parameter (α) and when it changes, smoothness and reality change too. The Lucas/Kanade method is more complex than previous one. It depends on two parameters, smoothness parameter (Sigma) and window size (Win). Different values for Win and Sigma change smoothn

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Aghazadeh, Farzad, Bin Zheng, Mahdi Tavakoli, and Hossein Rouhani. "Motion Smoothness-Based Assessment of Surgical Expertise: The Importance of Selecting Proper Metrics." Sensors 23, no. 6 (2023): 3146. http://dx.doi.org/10.3390/s23063146.

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The smooth movement of hand/surgical instruments is considered an indicator of skilled, coordinated surgical performance. Jerky surgical instrument movements or hand tremors can cause unwanted damages to the surgical site. Different methods have been used in previous studies for assessing motion smoothness, causing conflicting results regarding the comparison among surgical skill levels. We recruited four attending surgeons, five surgical residents, and nine novices. The participants conducted three simulated laparoscopic tasks, including peg transfer, bimanual peg transfer, and rubber band tr

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10

Shimojima, Hiroshi, Shinya Kijimoto, Osamu Sato, Shigeru Maeda, and Atushi Saito. "Evaluation of the Smoothness of Human Motion." Transactions of the Japan Society of Mechanical Engineers Series C 59, no. 562 (1993): 1803–8. http://dx.doi.org/10.1299/kikaic.59.1803.

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11

Сливинский, Евгений, Evgeniy Slivinskiy, Татьяна Митина, and Tatyana Mitina. "MOTION STABILITY INCREASE IN FRIGHT CARS AND PASSENGER CARS." Bulletin of Bryansk state technical university 2017, no. 1 (2017): 119–24. http://dx.doi.org/10.12737/24902.

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It is well known that the most significant moment in motion smoothness increase of freight and passenger train is a motion stability of running gears in a rolling stock. The promising designs of car running gears are developed in Bunin State University of Yelets at the level of inventions and a set of computations on the substantiation of rational parameters of such struc-tures allowing not only the increase of car motion smoothness, but also the creation of conditions for car serviceability.

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Liu, Yang Ke, Chun Zhao Lv, and Chang Li. "Motion Correction With Adaptive Karlman Filter." Advanced Materials Research 268-270 (July 2011): 1768–72. http://dx.doi.org/10.4028/www.scientific.net/amr.268-270.1768.

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In the digital image stabilization system, Kalman filter is the most commonly used filter for motion correction. When the wanted movements have large assumptions deviation with the movement model, the result of motion correction will cause divergence and even error. For this problem, a novel motion correction method with adaptive Karlman filter is proposed. The back and forth characteristic of the unwanted motion and the smoothness characteristic of the wanted motion is used to adjust the system noise and the observation error adaptively. Experiment results show that the proposed method can ef

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13

Xie, Kan. "Hierarchical motion estimation with smoothness constraints and postprocessing." Optical Engineering 35, no. 1 (1996): 145. http://dx.doi.org/10.1117/1.600885.

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14

Ghasemloonia, Ahmad, Yaser Maddahi, Kourosh Zareinia, Sanju Lama, Joseph C. Dort, and Garnette R. Sutherland. "Surgical Skill Assessment Using Motion Quality and Smoothness." Journal of Surgical Education 74, no. 2 (2017): 295–305. http://dx.doi.org/10.1016/j.jsurg.2016.10.006.

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15

Fujii, Yoshitaka, Takeharu Seno, and Robert S. Allison. "Smoothness of stimulus motion can affect vection strength." Experimental Brain Research 236, no. 1 (2017): 243–52. http://dx.doi.org/10.1007/s00221-017-5122-1.

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16

Liu, Hong, Hugh Gong, Pinghua Xu, Xuemei Ding, and Xiongying Wu. "The mechanism of wrinkling of cotton fabric in a front-loading washer: The effect of mechanical action." Textile Research Journal 89, no. 18 (2019): 3802–10. http://dx.doi.org/10.1177/0040517518821909.

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In order to understand the impact of mechanical action on the wrinkling of cotton fabrics in a drum washer, fabric movement was observed and a movement index system was developed to characterize the textile motion. Results showed that spinning speed and wash load were the major factors influencing the smoothness of cotton fabrics, with p values of 0.000 and 0.032, respectively. The analysis of fabric movement illustrated that when the wash load increased, the free motion region decreased and the ratio of passive motion region increased, resulting in severe wrinkling of cotton fabric. A regress

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17

Calabro, Finnegan J., and Lucia M. Vaina. "Stereo Motion Transparency Processing Implements an Ecological Smoothness Constraint." Perception 35, no. 9 (2006): 1219–32. http://dx.doi.org/10.1068/p5426.

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18

Maruya, Kazushi, Takahiro Kawabe, and Shin'ya Nishida. "Adaptation to the spatial smoothness of visual motion flow." Journal of Vision 15, no. 12 (2015): 1011. http://dx.doi.org/10.1167/15.12.1011.

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19

Rizk, Jacques K., Mark Chappell, and Trevor J. Hine. "Effect of motion smoothness on the flash-lag illusion." Vision Research 49, no. 17 (2009): 2201–8. http://dx.doi.org/10.1016/j.visres.2009.06.010.

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20

Cranston, M., P. Hsu, and P. March. "Smoothness of the Convex Hull of Planar Brownian Motion." Annals of Probability 17, no. 1 (1989): 144–50. http://dx.doi.org/10.1214/aop/1176991500.

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21

Dong, Liguo, Wenchao Xu, and Xianxian Zeng. "Human Facial Feature Matching based on Motion-Smoothness Constraint." IOP Conference Series: Earth and Environmental Science 526 (July 8, 2020): 012138. http://dx.doi.org/10.1088/1755-1315/526/1/012138.

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22

Memar Ardestani, Mehdi, and Hong Yan. "Noise Reduction in Human Motion-Captured Signals for Computer Animation based on B-Spline Filtering." Sensors 22, no. 12 (2022): 4629. http://dx.doi.org/10.3390/s22124629.

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Motion capturing is used to record the natural movements of humans for a particular task. The motions recorded are extensively used to produce animation characters with natural movements and for virtual reality (VR) devices. The raw captured motion signals, however, contain noises introduced during the capturing process. Therefore, the signals should be effectively processed before they can be applied to animation characters. In this study, we analyzed several common methods used for smoothing signals. The smoothed signals were then compared based on the smoothness metrics defined. It was conc

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23

Novikova, Elena, Dmitry Shtykh, Alexey Zhdanov, and Valentin Morozov. "Increase in Accuracy and Smoothness of Movement of the Mechatronic Unit of Linear Micromotions." Applied Mechanics and Materials 705 (December 2014): 137–41. http://dx.doi.org/10.4028/www.scientific.net/amm.705.137.

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Application spheres of exact linear motions actuator were examined. Typical complexes of requirements to parameters of movement of the output link were defined. Methods of evaluation of the quality of movement of the output link were carried out. The analysis of possibilities of the technical characteristics increase of linear micro motions actuators was carried out. The method of increase in accuracy and smoothness of motion of the output link actuators through optimization of the management system based on kinematic error of the actuating mechanism was examined.

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24

Guillén Ruiz, Silvia, Luis V. Calderita, Alejandro Hidalgo-Paniagua, and Juan P. Bandera Rubio. "Measuring Smoothness as a Factor for Efficient and Socially Accepted Robot Motion." Sensors 20, no. 23 (2020): 6822. http://dx.doi.org/10.3390/s20236822.

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Social robots, designed to interact and assist people in social daily life scenarios, require adequate path planning algorithms to navigate autonomously through these environments. These algorithms have not only to find feasible paths but also to consider other requirements, such as optimizing energy consumption or making the robot behave in a socially accepted way. Path planning can be tuned according to a set of factors, being the most common path length, safety, and smoothness. This last factor may have a strong relation with energy consumption and social acceptability of produced motion, b

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25

Pauwels, E. J. "Smooth first-passage densities for one-dimensional diffusions." Journal of Applied Probability 24, no. 2 (1987): 370–77. http://dx.doi.org/10.2307/3214261.

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The purpose of this paper is to show that smoothness conditions on the diffusion and drift coefficient of a one-dimensional stochastic differential equation imply the existence and smoothness of a first-passage density.In order to be able to prove this, we shall show that Brownian motion conditioned to first hit a point at a specified time has the same distribution as a Bessel (3)-process with changed time scale.

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Pauwels, E. J. "Smooth first-passage densities for one-dimensional diffusions." Journal of Applied Probability 24, no. 02 (1987): 370–77. http://dx.doi.org/10.1017/s0021900200031016.

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The purpose of this paper is to show that smoothness conditions on the diffusion and drift coefficient of a one-dimensional stochastic differential equation imply the existence and smoothness of a first-passage density. In order to be able to prove this, we shall show that Brownian motion conditioned to first hit a point at a specified time has the same distribution as a Bessel (3)-process with changed time scale.

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Pandey, Shivam, Michael D. Byrne, William H. Jantscher, Marcia K. O’Malley, and Priyanshu Agarwal. "Toward training surgeons with motion-based feedback: Initial validation of smoothness as a measure of motor learning." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 61, no. 1 (2017): 1531–35. http://dx.doi.org/10.1177/1541931213601747.

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Surgery is a challenging domain for motor skill acquisition. A critical contributing factor in this difficulty is that feedback is often delayed from performance and qualitative in nature. Collection of highdensity motion information may offer a solution. Metrics derived from this motion capture, in particular indices of movement smoothness, have been shown to correlate with task outcomes in multiple domains, including endovascular surgery. The open question is whether providing feedback based on these metrics can be used to accelerate learning. In pursuit of that goal, we examined the relatio

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28

Gdanskiy, N. I., A. V. Karpov, and A. A. Bugaenko. "The direct method and algorithm of construction of splines of the third order in the control problems of drives performance movement." Izvestiya MGTU MAMI 7, no. 1-4 (2013): 51–57. http://dx.doi.org/10.17816/2074-0530-67777.

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When using predictions in the controling of the rotational motion arises the need to build a double-smooth trajectory passing through its previously measured key points. As piecewise polynomial curve, providing the desired smoothness, there is considered the interpolation by cubic splines that in the intervals between the nodes are actually the cubic parabola, continuously connecting the nodes with the degree of smoothness. When imposing additional boundary conditions, data splines minimize its total curvature.

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Spelke, Elizabeth S., Roberta Kestenbaum, Daniel J. Simons, and Debra Wein. "Spatiotemporal continuity, smoothness of motion and object identity in infancy." British Journal of Developmental Psychology 13, no. 2 (1995): 113–42. http://dx.doi.org/10.1111/j.2044-835x.1995.tb00669.x.

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Mitchell, M. R., R. E. Link, Dar-Hao Chen, and Feng Hong. "Field Verification of Smoothness Requirements for Weigh-in-Motion Approaches." Journal of Testing and Evaluation 37, no. 1 (2009): 101723. http://dx.doi.org/10.1520/jte101723.

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Chou, Chia-Pei, Wan-Ju Lee, Ai-Chin Chen, Ren-Zuo Wang, I.-Chun Tseng, and Cheng-Chun Lee. "Simulation of Bicycle-Riding Smoothness by Bicycle Motion Analysis Model." Journal of Transportation Engineering 141, no. 12 (2015): 04015031. http://dx.doi.org/10.1061/(asce)te.1943-5436.0000802.

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32

Dong, Qiulei, and Hong Wang. "Latent-Smoothness Nonrigid Structure From Motion by Revisiting Multilinear Factorization." IEEE Transactions on Cybernetics 49, no. 9 (2019): 3557–70. http://dx.doi.org/10.1109/tcyb.2018.2849146.

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33

Ishwar, P., and P. Moulin. "On spatial adaptation of motion-field smoothness in video coding." IEEE Transactions on Circuits and Systems for Video Technology 10, no. 6 (2000): 980–89. http://dx.doi.org/10.1109/76.867937.

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34

Inagawa, Jun, and Tsukasa Maejima. "Nonrigid motion tracking of image sequences based on smoothness constraints." Systems and Computers in Japan 26, no. 2 (1995): 45–53. http://dx.doi.org/10.1002/scj.4690260205.

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35

Mei, Jiangping, Fan Zhang, Jiawei Zang, Yanqin Zhao, and Han Yan. "Trajectory optimization of the 6-degrees-of-freedom high-speed parallel robot based on B-spline curve." Science Progress 103, no. 1 (2019): 003685041988011. http://dx.doi.org/10.1177/0036850419880115.

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According to the problem that the existing high-speed parallel robot cannot satisfy the operation requirements of non-planar industrial production line, a 6-degrees-of-freedom high-speed parallel robot is proposed to carry out the kinematic and dynamic analyses. Combining with the door-type trajectory commonly used by the parallel robot, it adopts 3-, 5-, and 7-time B-spline curve motion law to conduct the trajectory planning in operation space. Taking the average cumulative effect of joint jerky as the optimization target, a trajectory optimization method is proposed to improve the smoothness

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Lei, Dongyue. "Field-enriched A* search algorithm for robot motion in path planning." Applied and Computational Engineering 33, no. 1 (2024): 272–79. http://dx.doi.org/10.54254/2755-2721/33/20230281.

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Path planning in unknown or complex environments is a central issue in the fields of automation and robotics. To address this global path planning problem while maintaining the smoothness of robot motion, as well as to ensure safety by keeping away from obstacles, this paper propose an innovative method called Field-Enriched A* Planner (FEAP), which incorporates the repulsive potential field into the heuristic computation of the A* search algorithm. The research modified the heuristic mechanism of the A* algorithm by incorporating both attraction and repulsion factors from the Artificial Poten

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Anaya-Campos, Leonardo Eliu, Luis Pastor Sánchez-Fernández, and Ivett Quiñones-Urióstegui. "Motion Smoothness Analysis of the Gait Cycle, Segmented by Stride and Associated with the Inertial Sensors’ Locations." Sensors 25, no. 2 (2025): 368. https://doi.org/10.3390/s25020368.

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Portable monitoring devices based on Inertial Measurement Units (IMUs) have the potential to serve as quantitative assessments of human movement. This article proposes a new method to identify the optimal placements of the IMUs and quantify the smoothness of the gait. First, it identifies gait events: foot-strike (FS) and foot-off (FO). Second, it segments the signals of linear acceleration and angular velocities obtained from the IMUs at four locations into steps and strides. Finally, it applies three smoothness metrics (SPARC, PM, and LDLJ) to determine the most reliable metric and the best

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Zulkarnain, Rizki Fajar, Ga-Yeong Kim, Arnold Adikrishna, Han Pyo Hong, Yoon Jeong Kim, and In-Ho Jeon. "Digital data acquisition of shoulder range of motion and arm motion smoothness using Kinect v2." Journal of Shoulder and Elbow Surgery 26, no. 5 (2017): 895–901. http://dx.doi.org/10.1016/j.jse.2016.10.026.

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39

Srinivasan, L. N., and Q. J. Ge. "Parametric Continuous and Smooth Motion Interpolation." Journal of Mechanical Design 118, no. 4 (1996): 494–98. http://dx.doi.org/10.1115/1.2826918.

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This paper deals with the synthesis of a second order parametrically continuous (C2) motion that interpolates through a given set of configurations of an object. It derives conditions for blending two motion segments with C2 continuity and develops an algorithm for constructing a C2 composite Be´zier type motion that has similarities to Beta-splines in the field of Computer Aided Geometric Design. A criterion for evaluating the smoothness of a motion is established and is used to synthesize a “globally smooth” motion. The results have applications in trajectory generation in robotics, mechanic

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Antipov, Viktor, and Yuri Kabanov. "Ruin Probabilities with Investments in Random Environment: Smoothness." Mathematics 12, no. 11 (2024): 1705. http://dx.doi.org/10.3390/math12111705.

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This paper deals with the ruin problem of an insurance company investing its capital reserve in a risky asset with the price dynamics given by a conditional geometric Brownian motion whose parameters depend on a Markov process describing random variations in the economic and financial environments. We prove a sufficient condition on the distribution of jumps of the business process ensuring the smoothness of the ruin probability as a function of the initial capital and obtain for this function an integro-differential equation.

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Belyakov, P. V., M. B. Nikiforov, E. R. Muratov, and O. V. Melnik. "Stereo vision-based variational optical flow estimation." E3S Web of Conferences 224 (2020): 01027. http://dx.doi.org/10.1051/e3sconf/202022401027.

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Optical flow computation is one of the most important tasks in computer vision. The article deals with a modification of the variational method of the optical flow computation, according to its application in stereo vision. Such approaches are traditionally based on a brightness constancy assumption and a gradient constancy assumption during pixels motion. Smoothness assumption also restricts motion discontinuities, i.e. the smoothness of the vector field of pixel velocity is assumed. It is proposed to extend the functional of the optical flow computation in a similar way by adding a priori kn

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Zhao, Rui, Ziguo Chen, Yuze Fan, Fei Gao, and Yuzhuo Men. "BETAV: A Unified BEV-Transformer and Bézier Optimization Framework for Jointly Optimized End-to-End Autonomous Driving." Sensors 25, no. 11 (2025): 3336. https://doi.org/10.3390/s25113336.

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End-to-end autonomous driving demands precise perception, robust motion planning, and efficient trajectory generation to navigate complex and dynamic environments. This paper proposes BETAV, a novel framework that addresses the persistent challenges of low 3D perception accuracy and suboptimal trajectory smoothness in autonomous driving systems through unified BEV-Transformer encoding and Bézier-optimized planning. By leveraging Vision Transformers (ViTs), our approach encodes multi-view camera data into a Bird’s Eye View (BEV) representation using a transformer architecture, capturing both sp

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FUKAYA, TAKASHI, HIROTAKA MUTSUZAKI, and YASUYOSHI WADANO. "SMOOTHNESS USING ANGULAR JERK COST OF THE KNEE JOINT MOVEMENT AFTER A REDUCTION IN WALKING SPEED." Journal of Mechanics in Medicine and Biology 13, no. 03 (2013): 1350037. http://dx.doi.org/10.1142/s0219519413500371.

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The angular jerk cost (AJC) was proposed to objectively represent the smoothness of joint movement by calculating the time-dependent changes in acceleration during motion. There are currently no reports focusing on smoothness using AJC measurements of the knee joint movement during the stance phase of gait. The purpose of this study was to verify whether a reduced walking speed affects the smoothness of the knee joint movement during the stance phase of gait. The gaits of 12 healthy adults were assessed. A slower walker showed a significant reduction in the AJC value in the period between the

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Bondarenko, I. O. "TO THE ISSUE OF IMPROVING QUALITY OF PERFORMANCE THE EVALUATION OF RAILWAY TRACK." Science and Transport Progress, no. 18 (October 25, 2007): 46–50. http://dx.doi.org/10.15802/stp2007/17439.

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For consideration of questions on providing of terms of smoothness of motion and optimization of work of railway way it is suggested to enter the concepts of the systems of high-quality estimation of capacity and unfolded diagnostics

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BARDET, JEAN-MARC, and PIERRE BERTRAND. "DEFINITION, PROPERTIES AND WAVELET ANALYSIS OF MULTISCALE FRACTIONAL BROWNIAN MOTION." Fractals 15, no. 01 (2007): 73–87. http://dx.doi.org/10.1142/s0218348x07003356.

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In some applications, for instance, finance, biomechanics, turbulence or internet traffic, it is relevant to model data with a generalization of a fractional Brownian motion for which the Hurst parameter H is dependent on the frequency. In this contribution, we describe the multiscale fractional Brownian motions which present a parameter H as a piecewise constant function of the frequency. We provide the main properties of these processes: long-memory and smoothness of the paths. Then we propose a statistical method based on wavelet analysis to estimate the different parameters and prove a fun

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Dingwell, Jonathan B., Christopher D. Mah, and Ferdinando A. Mussa-Ivaldi. "Experimentally Confirmed Mathematical Model for Human Control of a Non-Rigid Object." Journal of Neurophysiology 91, no. 3 (2004): 1158–70. http://dx.doi.org/10.1152/jn.00704.2003.

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Determining the principles used to plan and execute movements is a fundamental question in neuroscience research. When humans reach to a target with their hand, they exhibit stereotypical movements that closely follow an optimally smooth trajectory. Even when faced with various perceptual or mechanical perturbations, subjects readily adapt their motor output to preserve this stereotypical trajectory. When humans manipulate non-rigid objects, however, they must control the movements of the object as well as the hand. Such tasks impose a fundamentally different control problem than that of movin

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Weber, Bernhard, Cornelia Riecke, and Freek Stulp. "Sensorimotor impairment and haptic support in microgravity." Experimental Brain Research 239, no. 3 (2021): 967–81. http://dx.doi.org/10.1007/s00221-020-06024-1.

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AbstractFuture space missions envisage human operators teleoperating robotic systems from orbital spacecraft. A potential risk for such missions is the observation that sensorimotor performance deteriorates during spaceflight. This article describes an experiment on sensorimotor performance in two-dimensional manual tracking during different stages of a space mission. We investigated whether there are optimal haptic settings of the human-machine interface for microgravity conditions. Two empirical studies using the same task paradigm with a force feedback joystick with different haptic setting

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Bartels, Chris, and Gerard de Haan. "Smoothness Constraints in Recursive Search Motion Estimation for Picture Rate Conversion." IEEE Transactions on Circuits and Systems for Video Technology 20, no. 10 (2010): 1310–19. http://dx.doi.org/10.1109/tcsvt.2010.2058474.

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Legrand, L., A. Dipanda, F. Marzani, and M. Kardouchi. "Using Fourier local magnitude in adaptive smoothness constraints in motion estimation." Pattern Recognition Letters 28, no. 9 (2007): 1019–28. http://dx.doi.org/10.1016/j.patrec.2006.12.012.

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He, Jiping, and Chun-Xiang Tian. "A statistical smoothness measure to eliminate outliers in motion trajectory tracking." Human Movement Science 17, no. 2 (1998): 189–200. http://dx.doi.org/10.1016/s0167-9457(97)00029-8.

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