Head control and head-trunk coordination as a function of anticipation in sidestepping

2022 ◽  
pp. 1-10
Author(s):  
Samuel Zeff ◽  
Gillian Weir ◽  
Joseph Hamill ◽  
Richard van Emmerik
Keyword(s):  
Head Control

The Head Control Scale: Interrater Reliability Among Therapy Students

2021 ◽  
Vol 75 (Supplement_2) ◽  
pp. 7512500012p1-7512500012p1
Author(s):  
Amy Armstrong-Heimsoth ◽  
Rachel Reed ◽  
Samantha Grant ◽  
Jodi Thomas ◽  
Roy St. Laurent
Keyword(s):  
Physical Therapy ◽  
Interrater Reliability ◽  
Kappa Coefficient ◽  
Control Scale ◽  
Head Control ◽  
Primary Author ◽  
Strong Agreement

Abstract Date Presented 04/13/21 This study assesses reliability and accuracy of the Head Control Scale (HCS) when used by inexperienced raters. Physical therapy and OT students used the HCS to rate five videotaped pediatric subjects. The kappa coefficient for interrater reliability among students was "almost perfect" (>.80). In one subscale, when comparing student raters with clinicians, there was strong agreement in grading between each group. The HCS may be consistently used by both new and experienced raters. Primary Author and Speaker: Amy Armstrong-Heimsoth Additional Authors and Speakers: Emily Mei Chun, Elizabeth Diane Hesse, Kelsey E. Ranneklev, and Camila E. Sanchez

Modeling head tracking of visual targets

2002 ◽  
Vol 12 (1) ◽  
pp. 25-33
Author(s):  
K.J. Chen ◽  
E.A. Keshner ◽  
B.W. Peterson ◽  
T.C. Hain
Keyword(s):  
Control System ◽  
Visual Feedback ◽  
Human Head ◽  
Feedback System ◽  
Optimization Methods ◽  
Head Tracking ◽  
Feedback Systems ◽  
Control Gain ◽  
Head Control ◽  
Visual Targets

Control of the head involves somatosensory, vestibular, and visual feedback. The dynamics of these three feedback systems must be identified in order to gain a greater understanding of the head control system. We have completed one step in the development of a head control model by identifying the dynamics of the visual feedback system. A mathematical model of human head tracking of visual targets in the horizontal plane was fit to experimental data from seven subjects performing a visual head tracking task. The model incorporates components based on the underlying physiology of the head control system. Using optimization methods, we were able to identify neural processing delay, visual control gain, and neck viscosity parameters in each experimental subject.

scholarly journals A Head Control Strategy of the Snake Robot Based on Segmented Kinematics

2019 ◽  
Vol 9 (23) ◽  
pp. 5104
Author(s):  
Yunhu Zhou ◽  
Yuanfei Zhang ◽  
Fenglei Ni ◽  
Hong Liu
Keyword(s):  
Control Strategy ◽  
Control Strategies ◽  
The Body ◽  
Head Part ◽  
Joint Angles ◽  
Backbone Curve ◽  
Snake Robot ◽  
Head Control ◽  
Neck Part ◽  
Snake Robots

Head control is important for snake robots to work in an unknown environment. However, the existing methods of head control have certain application limitations for snake robots with different configurations. Thus, a strategy for head control based on segmented kinematics is proposed. Compared with the existing head control strategies, our strategy can adapt to different structures of snake robots, whether wheeled or non-wheeled. In addition, our strategy can realize the accurate manipulation of the snake robot head. The robot body is divided into the base part, neck part and head part. First, parameters of backbone curve are optimized for enlarging the area of the support polygon. Then the desired pose for the head link and the dexterous workspace of the head part can in turn derive the desired position and direction of the end frame for the neck part. An optimization algorithm is proposed to help the end frame of the neck part approach a desired one and obtains the joint angles of the neck part. When the actual frames of the neck part are determined, the dexterous workspace of the head part will cover the desired pose of the head link. Then the TRAC-IK inverse kinematics algorithm is adopted to solve the joint angles of the head part. To avoid the collision between the body and the ground, a trajectory planning method of the overall body in Cartesian space is proposed. Finally, simulations validate the effectiveness of the control strategy.

scholarly journals Novel AVPR2 variant in a male infant with nephrogenic diabetes insipidus who showed delayed head control

2019 ◽  
Vol 28 (4) ◽  
pp. 155-158
Author(s):  
Kosei Hasegawa ◽  
Hiromi Ihoriya ◽  
Natsuko Futagawa ◽  
Yousuke Higuchi ◽  
Hiroki Tsuchiya ◽  
...  
Keyword(s):  
Diabetes Insipidus ◽  
Nephrogenic Diabetes Insipidus ◽  
Male Infant ◽  
Head Control

scholarly journals Locomotion Control of Snake-Like Robot with Rotational Elastic Actuators Utilizing Observer

2019 ◽  
Vol 9 (19) ◽  
pp. 4012 ◽  
Author(s):  
Shunsuke Nansai ◽  
Takumi Yamato ◽  
Masami Iwase ◽  
Hiroshi Itoh
Keyword(s):  
Numerical Simulation ◽  
Control System ◽  
Dynamic Model ◽  
Ground Surface ◽  
Surface Conditions ◽  
Luenberger Observer ◽  
Key Points ◽  
Switching Dynamic ◽  
Head Control ◽  
Frictional Coefficients

The purpose of this paper is designing a head control system capable of adapting to passive side-slipping. The environments in which snake-like robots are expected to be utilized generally have ground surface conditions with nonuniform frictional coefficients. In such conditions, the passive wheels of the snake-like robot have a chance of side-slipping. To locomote the snake-like robot dexterously, a control system which adapts to such side-slipping is desired. There are two key points to realizing such a system: First, a dynamic model capable of representing the passive side-slipping must be formulated. A solution for the first key point is to develop a switching dynamic model for the snake-like robot, which switches depending on the occurrence of the side-slipping, by utilizing a projection method. The second key point is to adapt the control system’s behavior to side-slipping. An idea for such a solution is to include the side-slipping velocity in the weighting matrices. An algorithm to estimate the occurrence of side-slipping and the particular side-slipping link is constructed, to formulate the dynamic model depending on the actual side-slipping situation. The effectiveness of the designed Luenberger observer and the head control system for side-slipping adaptation is verified through numerical simulation.

scholarly journals Development and Application of a Human–Machine Interface Using Head Control and Flexible Numeric Tables for the Severely Disabled

2020 ◽  
Vol 10 (19) ◽  
pp. 7005
Author(s):  
Che-Ming Chang ◽  
Chern-Sheng Lin ◽  
Wei-Cheng Chen ◽  
Chung-Ting Chen ◽  
Yu-Liang Hsu
Keyword(s):  
Image Processing ◽  
Skin Color ◽  
Digital Camera ◽  
Human Machine Interface ◽  
Head Motion ◽  
Processing Technologies ◽  
Color Recognition ◽  
Machine Interface ◽  
Head Control ◽  
Head Gestures

The human–machine interface with head control can be applied in many domains. This technology has the valuable application of helping people who cannot use their hands, enabling them to use a computer or speak. This study combines several image processing and computer vision technologies, a digital camera, and software to develop the following system: image processing technologies are adopted to capture the features of head motion; the recognized head gestures include forward, upward, downward, leftward, rightward, right-upper, right-lower, left-upper, and left-lower; corresponding sound modules are used so that patients can communicate with others through a phonetic system and numeric tables. Innovative skin color recognition technology can obtain head features in images. The barycenter of pixels in the feature area is then quickly calculated, and the offset of the barycenter is observed to judge the direction of head motion. This architecture can substantially reduce the distraction of non-targeted objects and enhance the accuracy of systematic judgment.

Developmental Characteristics of Severely and Profoundly Handicapped

AAESPH Review ◽  
1979 ◽  
Vol 4 (1) ◽  
pp. 36-51 ◽  
Author(s):  
Samuel Levine ◽  
Freeman F. Elzey ◽  
Bonnie Fiske-Rollin
Keyword(s):  
Expressive Language ◽  
Living Arrangement ◽  
Chronological Age ◽  
Personnel Training ◽  
Hand Control ◽  
Head Control ◽  
Developmental Characteristics

This paper describes the population of the California Centers for the Developmentally Handicapped in terms of attribute variables and developmental variables. Attribute variables used include chronological age, sex, length of center enrollment, current living arrangement, use of medication, and frequency of seizures. Developmental variables reported include cognition, ambulation, hand control, head control, vision, audition, and expressive language. Relationships among these variables are also reported. The authors present tentative conclusions and implications for programming and personnel training.

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