scholarly journals Effect of an exclusion range of jaw movement data from the intercuspal positionon the estimation of the kinematic axis point

2014 ◽  
Vol 36 (9) ◽  
pp. 1162-1167 ◽  
Author(s):  
Shuji Shigemoto ◽  
Nobuyuki Bando ◽  
Keisuke Nishigawa ◽  
Yoshitaka Suzuki ◽  
Toyoko Tajima ◽  
...  
Keyword(s):  
Jaw Movement ◽  
Movement Data ◽  
Kinematic Axis

Coarticulation and the accented/unaccented distinction: evidence from jaw movement data

1995 ◽  
Vol 23 (3) ◽  
pp. 305-322 ◽  
Author(s):  
Jonathan Harrington ◽  
Janet Fletcher ◽  
Corinne Roberts
Keyword(s):  
Jaw Movement ◽  
Movement Data

A preliminary study of jaw movement in Arrernte consonant production

2009 ◽  
Vol 39 (1) ◽  
pp. 33-51 ◽  
Author(s):  
Marija Tabain
Keyword(s):  
Jaw Movement ◽  
Australian Aboriginal ◽  
Movement Data ◽  
Preliminary Study ◽  
Kinematic Measures ◽  
Opening And Closing ◽  
Jaw Position ◽  
Comparison Data

This study presents jaw movement data from Central Arrernte, an Australian Aboriginal language with six places of articulation in the stop series, including four coronal places of articulation. The focus of the study is on jaw consonant targets, and on the opening and closing movements of the jaw. As a point of comparison, data are also presented for English, a language with three places of articulation in the stop series. In line with previous results for English, jaw position in Arrernte is lowest for the velar /k/. The apico-post-alveolar (retroflex) /ʈ/, which is not found in English, has a jaw position almost as low as /k/. By contrast, the lamino-alveo-palatal /c/, which is also not found in English, has the highest jaw position. The remaining coronal consonants in Arrernte, /t/ (apico-alveolar and lamino-dental, respectively), show intermediate jaw positions, with differences between speakers. In terms of the kinematic measures examined (namely, variability in distance, duration and velocity of opening and closing movements), results show no consistent differences between English and Arrernte jaw movement.

Maximum Interlabial Pressures in Normal Speakers

1997 ◽  
Vol 40 (2) ◽  
pp. 400-404 ◽  
Author(s):  
Virginia A. Hinton ◽  
Winston M. C. Arokiasamy
Keyword(s):  
Speech Production ◽  
Contact Pressure ◽  
Direct Evidence ◽  
Unit Area ◽  
Jaw Movement ◽  
Contractile Forces ◽  
Contact Pressures ◽  
Muscle Contractile

It has been hypothesized that typical speech movements do not involve large muscular forces and that normal speakers use less than 20% of the maximum orofacial muscle contractile forces that are available (e.g., Amerman, 1993; Barlow & Abbs, 1984; Barlow & Netsell, 1986; DePaul & Brooks, 1993). However, no direct evidence for this hypothesis has been provided. This study investigated the percentage of maximum interlabial contact pressures (force per unit area) typically used during speech production. The primary conclusion of this study is that normal speakers typically use less than 20% of the available interlabial contact pressure, whether or not the jaw contributes to bilabial closure. Production of the phone [p] at conversational rate and intensity generated an average of 10.56% of maximum available interlabial pressure (MILP) when jaw movement was not restricted and 14.62% when jaw movement was eliminated.

Age Differences in Eye Movements During Reading: Degenerative Problems or Compensatory Strategy?

2019 ◽  
Vol 24 (4) ◽  
pp. 297-311
Author(s):  
José David Moreno ◽  
José A. León ◽  
Lorena A. M. Arnal ◽  
Juan Botella
Keyword(s):  
Eye Movements ◽  
Eye Movement ◽  
Meta Analysis ◽  
Age Groups ◽  
Behavioral Changes ◽  
Aging Effects ◽  
Movement Data ◽  
Sentence Reading ◽  
The Difference ◽  
Eye Movements During Reading

Abstract. We report the results of a meta-analysis of 22 experiments comparing the eye movement data obtained from young ( Mage = 21 years) and old ( Mage = 73 years) readers. The data included six eye movement measures (mean gaze duration, mean fixation duration, total sentence reading time, mean number of fixations, mean number of regressions, and mean length of progressive saccade eye movements). Estimates were obtained of the typified mean difference, d, between the age groups in all six measures. The results showed positive combined effect size estimates in favor of the young adult group (between 0.54 and 3.66 in all measures), although the difference for the mean number of fixations was not significant. Young adults make in a systematic way, shorter gazes, fewer regressions, and shorter saccadic movements during reading than older adults, and they also read faster. The meta-analysis results confirm statistically the most common patterns observed in previous research; therefore, eye movements seem to be a useful tool to measure behavioral changes due to the aging process. Moreover, these results do not allow us to discard either of the two main hypotheses assessed for explaining the observed aging effects, namely neural degenerative problems and the adoption of compensatory strategies.

Do Successor Effects in Reading Reflect Parafoveal Processing? Evidence From Corpus-Based and Experimental Eye Movement Data

2014 ◽  
Author(s):  
Bernhard Angele ◽  
Elizabeth R. Schotter ◽  
Timothy Slattery ◽  
Tara L. Chaloukian ◽  
Klinton Bicknell ◽  
...  
Keyword(s):  
Eye Movement ◽  
Parafoveal Processing ◽  
Movement Data

Design and Kinematics Performance Analysis of a Novel Jaw Movement Robot

ROBOT ◽  
2013 ◽  
Vol 35 (2) ◽  
pp. 239
Author(s):  
Ming CONG ◽  
Tongzhan LIU ◽  
Haiying WEN ◽  
Jing DU ◽  
Weiliang XU
Keyword(s):  
Performance Analysis ◽  
Jaw Movement

Shifted Maps: Revealing spatio-temporal topologies in movement data

2018 ◽  
Author(s):  
Heike Otten ◽  
Lennart Hildebrand ◽  
Till Nagel ◽  
Marian Dork ◽  
Boris Muller
Keyword(s):  
Movement Data ◽  
Spatio Temporal

scholarly journals An analytical method reduces noise bias in motor adaptation analysis

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Daniel H. Blustein ◽  
Ahmed W. Shehata ◽  
Erin S. Kuylenstierna ◽  
Kevin B. Englehart ◽  
Jonathon W. Sensinger
Keyword(s):  
Motor Planning ◽  
Motor Adaptation ◽  
Motor Command ◽  
Systematic Bias ◽  
Sources Of Information ◽  
Noise Masking ◽  
Stochastic Signal ◽  
Movement Data ◽  
Motor Error ◽  
Stochastic Signal Processing

AbstractWhen a person makes a movement, a motor error is typically observed that then drives motor planning corrections on subsequent movements. This error correction, quantified as a trial-by-trial adaptation rate, provides insight into how the nervous system is operating, particularly regarding how much confidence a person places in different sources of information such as sensory feedback or motor command reproducibility. Traditional analysis has required carefully controlled laboratory conditions such as the application of perturbations or error clamping, limiting the usefulness of motor analysis in clinical and everyday environments. Here we focus on error adaptation during unperturbed and naturalistic movements. With increasing motor noise, we show that the conventional estimation of trial-by-trial adaptation increases, a counterintuitive finding that is the consequence of systematic bias in the estimate due to noise masking the learner’s intention. We present an analytic solution relying on stochastic signal processing to reduce this effect of noise, producing an estimate of motor adaptation with reduced bias. The result is an improved estimate of trial-by-trial adaptation in a human learner compared to conventional methods. We demonstrate the effectiveness of the new method in analyzing simulated and empirical movement data under different noise conditions.

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