Mind, Body, Motion, Matter

2016 ◽  
Keyword(s):  
Body Motion

Study on the Differences in the Results of Body Shape Test According to the Position of the Two Feet and the Usefulness of the Neck and Body Motion Image Test

2020 ◽  
Vol 9 (1) ◽  
pp. 22-26
Author(s):  
Wan Song Chang ◽  
◽  
Song Ja Kim ◽  
Seo Won Ryu ◽  
Duk Joon Lim ◽  
...  
Keyword(s):  
Body Shape ◽  
Body Motion ◽  
Image Test

Tire Rolling Kinematics Model for an Intelligent Tire Based on an Accelerometer

2020 ◽  
Vol 48 (4) ◽  
pp. 287-314
Author(s):  
Yan Wang ◽  
Zhe Liu ◽  
Michael Kaliske ◽  
Yintao Wei
Keyword(s):  
Elastic Deformation ◽  
Estimation Algorithm ◽  
Force Sensor ◽  
Euler Method ◽  
Rolling Contact ◽  
Body Motion ◽  
Identification Algorithm ◽  
Active Perception ◽  
Kinematics Model ◽  
Ring Model

ABSTRACT The idea of intelligent tires is to develop a tire into an active perception component or a force sensor with an embedded microsensor, such as an accelerometer. A tire rolling kinematics model is necessary to link the acceleration measured with the tire body elastic deformation, based on which the tire forces can be identified. Although intelligent tires have attracted wide interest in recent years, a theoretical model for the rolling kinematics of acceleration fields is still lacking. Therefore, this paper focuses on an explicit formulation for the tire rolling kinematics of acceleration, thereby providing a foundation for the force identification algorithms for an accelerometer-based intelligent tire. The Lagrange–Euler method is used to describe the acceleration field and contact deformation of rolling contact structures. Then, the three-axis acceleration vectors can be expressed by coupling rigid body motion and elastic deformation. To obtain an analytical expression of the full tire deformation, a three-dimensional tire ring model is solved with the tire–road deformation as boundary conditions. After parameterizing the ring model for a radial tire, the developed method is applied and validated by comparing the calculated three-axis accelerations with those measured by the accelerometer. Based on the features of acceleration, especially the distinct peak values corresponding to the tire leading and trailing edges, an intelligent tire identification algorithm is established to predict the tire–road contact length and tire vertical load. A simulation and experiments are conducted to verify the accuracy of the estimation algorithm, the results of which demonstrate good agreement. The proposed model provides a solid theoretical foundation for an acceleration-based intelligent tire.

Chaos in body–vortex interactions

2010 ◽  
Vol 466 (2119) ◽  
pp. 1871-1891 ◽  
Author(s):  
Johan Roenby ◽  
Hassan Aref
Keyword(s):  
Body Shape ◽  
Mass Density ◽  
Relative Equilibrium ◽  
Large Body ◽  
Point Vortex ◽  
Cylindrical Body ◽  
The Body ◽  
Body Motion ◽  
Single Vortex ◽  
Vortex Interactions

The model of body–vortex interactions, where the fluid flow is planar, ideal and unbounded, and the vortex is a point vortex, is studied. The body may have a constant circulation around it. The governing equations for the general case of a freely moving body of arbitrary shape and mass density and an arbitrary number of point vortices are presented. The case of a body and a single vortex is then investigated numerically in detail. In this paper, the body is a homogeneous, elliptical cylinder. For large body–vortex separations, the system behaves much like a vortex pair regardless of body shape. The case of a circle is integrable. As the body is made slightly elliptic, a chaotic region grows from an unstable relative equilibrium of the circle-vortex case. The case of a cylindrical body of any shape moving in fluid otherwise at rest is also integrable. A second transition to chaos arises from the limit between rocking and tumbling motion of the body known in this case. In both instances, the chaos may be detected both in the body motion and in the vortex motion. The effect of increasing body mass at a fixed body shape is to damp the chaos.

Self-powering/self-cleaning electronic-skin basing on PVDF/TiO 2 nanofibers for actively detecting body motion and degrading organic pollutants

2017 ◽  
Vol 416 ◽  
pp. 424-431 ◽  
Author(s):  
Chuanyi Dong ◽  
Yongming Fu ◽  
Weili Zang ◽  
Haoxuan He ◽  
Lili Xing ◽  
...  
Keyword(s):  
Organic Pollutants ◽  
Body Motion ◽  
Electronic Skin ◽  
Self Cleaning

scholarly journals 311 - A step forward understanding the burden on caregivers of older patients with Parkinson Disease – an ICF-based approach

2020 ◽  
Vol 32 (S1) ◽  
pp. 69-69
Author(s):  
Marlene C. Neves Rosa ◽  
Flávia Silva ◽  
Monica Reis
Keyword(s):  
Focus Group ◽  
Parkinson Disease ◽  
Older Patients ◽  
Family Health ◽  
Body Motion ◽  
International Classification Of Functioning ◽  
Daily Routine ◽  
Motor Symptoms ◽  
Burden Of Care ◽  
Verbal Interactions

Background:Burden of care might be highly dependent of specific characteristics of the disease (Lee et al., 2019). Uncertainties remain about factors that influence burden of care in Parkinson Disease (PD).Aim:To identify a list of ICF-related domains identified by caregivers of older patients with PD.Methods:Caregivers of people with PD were recruited in Portugal Parkinson Foundation, if they take care of someone with PD older than 65 yrs, and for more than 6 hours/day. A focus group was video recorded, based on the following questions: Can you please tell us how did you spent your day before you're a caregiver; there are any differences in your daily routine now? How do you feel or think when you're caring for a relative? Can you tell us if there is any kind of daily activity more pleasant or more embarrassing? Verbal interactions during focus group were transcribed and codified using International Classification of Functioning and Disability (ICF) domains.Results:Seven caregivers (5 females; 40-73 yrs; 5 were spousal) were enrolled. Thirty-six caregivers’ references were about body functions and structures (91.67% - mental functions: “I feel tired…it is a constant monotony”); fifty-seven references were about activities and participation (“I need to assist him with bathing”; “when he wants to standing from his favourite chair, he always need help…and his body is very stiff”);eleven references were about environmental factors, mostly about medication and family/health professionals assistance.Discussion:Our results demonstrated that caregivers are worried about their mental health and routine preservation, which is in accordance with previous studies in this topic (Tessitore et al.,2018). However, new caregivers’ perceptions were found in our study, which are very specific domains in PD: body motion rigidity and medication for patients’ psychomotor agitation. A previous study stated that control of mental symptoms in PD are the most powerful predictors of caregivers' burden (Hooker et al., 2000), but do not consider the importance of Parkinson’s motor symptoms.Conclusion:Burden of care in PD is mostly associated with the need of preservation in daily routines, but also with management of mental and motor symptoms in PD.

scholarly journals High Accuracy Heartbeat Detection from CW-Doppler Radar Using Singular Value Decomposition and Matched Filter

Sensors ◽  
2021 ◽  
Vol 21 (11) ◽  
pp. 3588
Author(s):  
Yuki Iwata ◽  
Han Trong Thanh ◽  
Guanghao Sun ◽  
Koichiro Ishibashi
Keyword(s):  
Heart Rate ◽  
Singular Value Decomposition ◽  
Continuous Wave ◽  
Doppler Radar ◽  
Matched Filter ◽  
Singular Value ◽  
Home Healthcare ◽  
Body Motion ◽  
Sitting Posture ◽  
Value Decomposition

Heart rate measurement using a continuous wave Doppler radar sensor (CW-DRS) has been applied to cases where non-contact detection is required, such as the monitoring of vital signs in home healthcare. However, as a CW-DRS measures the speed of movement of the chest surface, which comprises cardiac and respiratory signals by body motion, extracting cardiac information from the superimposed signal is difficult. Therefore, it is challenging to extract cardiac information from superimposed signals. Herein, we propose a novel method based on a matched filter to solve this problem. The method comprises two processes: adaptive generation of a template via singular value decomposition of a trajectory matrix formed from the measurement signals, and reconstruction by convolution of the generated template and measurement signals. The method is validated using a dataset obtained in two different experiments, i.e., experiments involving supine and seated subject postures. Absolute errors in heart rate and standard deviation of heartbeat interval with references were calculated as 1.93±1.76bpm and 57.0±28.1s for the lying posture, and 9.72±7.86bpm and 81.3±24.3s for the sitting posture.

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