A kinematic theory of rapid human movements: Part I. Movement representation and generation

Plamondon, Réjean

doi:10.1007/bf00202785

Cited by 253 publications

(160 citation statements)

References 60 publications

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“…Already at the level of simple stepwise position changes, it is clear that humans can adapt the duration of their limb movements to the requirements of the task at hand (Plamondon 1995). Even within the same visuo-manual joystick tracking task, Hanneton et al.…”

Section: Discussionmentioning

confidence: 99%

Sustained sensorimotor control as intermittent decisions about prediction errors: computational framework and application to ground vehicle steering

2018

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A conceptual and computational framework is proposed for modelling of human sensorimotor control and is exemplified for the sensorimotor task of steering a car. The framework emphasises control intermittency and extends on existing models by suggesting that the nervous system implements intermittent control using a combination of (1) motor primitives, (2) prediction of sensory outcomes of motor actions, and (3) evidence accumulation of prediction errors. It is shown that approximate but useful sensory predictions in the intermittent control context can be constructed without detailed forward models, as a superposition of simple prediction primitives, resembling neurobiologically observed corollary discharges. The proposed mathematical framework allows straightforward extension to intermittent behaviour from existing one-dimensional continuous models in the linear control and ecological psychology traditions. Empirical data from a driving simulator are used in model-fitting analyses to test some of the framework’s main theoretical predictions: it is shown that human steering control, in routine lane-keeping and in a demanding near-limit task, is better described as a sequence of discrete stepwise control adjustments, than as continuous control. Results on the possible roles of sensory prediction in control adjustment amplitudes, and of evidence accumulation mechanisms in control onset timing, show trends that match the theoretical predictions; these warrant further investigation. The results for the accumulation-based model align with other recent literature, in a possibly converging case against the type of threshold mechanisms that are often assumed in existing models of intermittent control.

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Section: Discussionmentioning

confidence: 99%

Sustained sensorimotor control as intermittent decisions about prediction errors: computational framework and application to ground vehicle steering

2018

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“…Collected movements have been modeled according to the Kinematic Theory of Rapid Human Movement (Plamondon, 1995a,b) used in numerous motor control studies in the last 20 years. This framework proposes that movements are controlled by a series of motor commands dispatched through the neuromuscular system, each command resulting in a lognormal contribution to the observed speed profile.…”

Section: Methodsmentioning

confidence: 99%

“…This representation considers a neuromuscular system as composed of a complex arrangement of subsystems which reaction to a motor command is cascaded such that they produce outputs with cumulative time delays following a law of proportionate effects (Plamondon, 1995a). This methodology has been validated, among other things, by the observation of an event-related potential (ERP) occurring at time t 0 (O'Reilly et al, 2013) and by the experimental observation of a law of proportionate effects in EMG recordings (Plamondon et al, 2013a).…”

Section: Methodsmentioning

confidence: 99%

Linking brain stroke risk factors to human movement features for the development of preventive tools

O’Reilly¹,

Plamondon²,

Lebrun³

2014

Front. Aging Neurosci.

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This paper uses human movement analyses to assess the susceptibility of brain stroke, one of the most important causes of disability in elders. To that end, a computerized battery of nine neuromuscular tests has been designed and evaluated with a sample of 120 subjects with or without stoke risk factors. The kinematics of the movements produced was analyzed using a computational neuromuscular model and predictive characteristics were extracted. Logistic regression and linear discriminant analysis with leave-one-out cross-validation was used to infer the probability of presence of brain stroke risk factors. The clinical potential value of movement information for stroke prevention was assessed by computing area under the receiver operating characteristic curve (AUC) for the diagnostic of risk factors based on motion analysis. AUC mostly varying between 0.6 and 0.9 were obtained, depending on the neuromuscular test and the risk factor investigated (obesity, diabetes, hypertension, hypercholesterolemia, cigarette smoking, and cardiac disease). Our results support the feasibility of the proposed methodology and its potential application for the development of brain stroke prevention tools. Although further research is needed to improve this methodology and its outcome, results are promising and the proposed approach should be of great interest for many experimenters open to novel approaches in preventive medicine and in gerontology. It should also be valuable for engineers, psychologists, and researchers using human movements for the development of diagnostic and neuromuscular assessment tools.

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“…[454647] Knowing that this system is constituted by a very large number of neurons and muscle fibers is possible to declare, based on the central limit theorem that a rapid and habitual movement velocity profile asymptotically tends toward a delta-lognormal equation. [47] Moreover, the shape of the bell, after appropriate rescaling, is approximately super imposable, that is, the shape is almost preserved for movements that vary in duration, distance or peak velocity. [46] This invariance in the shape of the velocity profiles suggests that velocity might play a key role in movement control.…”

Section: Signature Modelingmentioning

confidence: 99%

Authentication based on pole-zero models of signature velocity

2013

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With the increase of communication and financial transaction through internet, on-line signature verification is an accepted biometric technology for access control and plays a significant role in authenticity and authorization in modernized society. Therefore, fast and precise algorithms for the signature verification are very attractive. The goal of this paper is modeling of velocity signal that pattern and properties is stable for persons. With using pole-zero models based on discrete cosine transform, precise method is proposed for modeling and then features is founded from strokes. With using linear, parzen window and support vector machine classifiers, the signature verification technique was tested with a large number of authentic and forgery signatures and has demonstrated the good potential of this technique. The signatures are collected from three different database include a proprietary database, the SVC2004 and the Sabanci University signature database benchmark databases. Experimental results based on Persian, SVC2004 and SUSIG databases show that our method achieves an equal error rate of 5.91%, 5.62% and 3.91% in the skilled forgeries, respectively.

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A kinematic theory of rapid human movements: Part I. Movement representation and generation

Cited by 253 publications

References 60 publications

Sustained sensorimotor control as intermittent decisions about prediction errors: computational framework and application to ground vehicle steering

Sustained sensorimotor control as intermittent decisions about prediction errors: computational framework and application to ground vehicle steering

Linking brain stroke risk factors to human movement features for the development of preventive tools

Authentication based on pole-zero models of signature velocity

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