Preservation and Reproduction of Human Motion Based on a Motion-Copying System

2012 ◽  
pp. 375-384
Author(s):  
Seiichiro Katsura
Keyword(s):  
Skill Acquisition ◽  
Perception And Action ◽  
Human Motion ◽  
Motion Information ◽  
Slave System ◽  
Spatial Coupling ◽  
Novel Method ◽  
Haptic Technology ◽  
Human Motions ◽  
Human Support

In this chapter, a novel method for preserving and reproducing human motion based on haptic technology is described. Haptic technology makes it possible to preserve and reproduce human motion using a paired master and slave system. Because it is possible to preserve motion information based on position trajectory and force input, future human support technology that will facilitate skill acquisition, physical rehabilitation will be developed and will facilitate personal adaptation, tele-communication, et cetera. Once human motions are preserved, it will be possible to process them for various applications. For example, being able to reproduce the speed and trajectory of motion will allow for adjustments that fit the desired function. As a result, the temporal and spatial coupling of perception and action can be attained. This type of physical extension technology based on haptics will be important for the future of human support in society.

Adaptive Animation of Human Motion for E-Learning Applications

2011 ◽  
pp. 134-144
Author(s):  
Frederick W.B. Li ◽  
Rynson W.H. Lau ◽  
Taku Komura ◽  
Meng Wang ◽  
Becky Siu
Keyword(s):  
Human Motion ◽  
Learning System ◽  
The Internet ◽  
Motion Information ◽  
User Interest ◽  
Motion Data ◽  
Network Bandwidth ◽  
Levels Of Detail ◽  
E Learning ◽  
Human Motions

Human motion animation has been one of the major research topics in the field of computer graphics for decades. Techniques developed in this area help present human motions in various applications. This is crucial for enhancing the realism as well as promoting the user interest in the applications. To carry this merit to e-learning applications, we have developed efficient techniques for delivering human motion information over the Internet to collaborating e-learning users and revealing the motion information in the client machines with different rendering capability. Our method offers a mechanism to extract human motion data at various levels of detail (LoD). We also propose a set of importance factors to allow an e-learning system to determine the LoD of the human motion for rendering as well as transmission, according to the importance of the motion and the available network bandwidth. At the end of the paper, we demonstrate the effectiveness of the new method with some experimental results.

scholarly journals Compressive Ghost Imaging of the Moving Object Using the Low-Order Moments

2020 ◽  
Vol 10 (21) ◽  
pp. 7941
Author(s):  
Dongyue Yang ◽  
Chen Chang ◽  
Guohua Wu ◽  
Bin Luo ◽  
Longfei Yin
Keyword(s):  
Image Quality ◽  
Motion Estimation ◽  
Sampling Procedure ◽  
Motion Blur ◽  
Moving Object ◽  
Motion Information ◽  
Ghost Imaging ◽  
Consecutive Sampling ◽  
Novel Method ◽  
Low Order

Ghost imaging reconstructs the image based on the second-order correlation of the repeatedly measured light fields. When the observed object is moving, the consecutive sampling procedure leads to a motion blur in the reconstructed images. To overcome this defect, we propose a novel method of ghost imaging to obtain the motion information of moving object with a small number of measurements, in which the object could be regarded as relatively static. Our method exploits the idea of compressive sensing for a superior image reconstruction, combining with the low-order moments of the images to directly extract the motion information, which has the advantage of saving time and computation. With the gradual motion estimation and compensation during the imaging process, the experimental results show the proposed method could effectively overcome the motion blur, also possessing the advantage of reducing the necessary measurement number for each motion estimation and improving the reconstructed image quality.

A highly stretchable and transparent silver nanowire/thermoplastic polyurethane film strain sensor for human motion monitoring

2019 ◽  
Vol 6 (11) ◽  
pp. 3119-3124 ◽  
Author(s):  
Runfei Wang ◽  
Wei Xu ◽  
Wenfeng Shen ◽  
Xiaoqing Shi ◽  
Jian Huang ◽  
...  
Keyword(s):  
Silver Nanowires ◽  
Thermoplastic Polyurethane ◽  
Human Motion ◽  
Strain Sensors ◽  
Silver Nanowire ◽  
Transparent Film ◽  
Polyurethane Film ◽  
Highly Stretchable ◽  
Human Motion Monitoring ◽  
Human Motions

Transparent film strain sensors based on silver nanowires and thermoplastic polyurethane are promising candidates for detecting various human motions and monitoring the mass of some kinetic objects.

scholarly journals A Mathematical Modeling Framework for Analysis of Functional Clothing

2007 ◽  
Vol 2 (3) ◽  
pp. 155892500700200 ◽  
Author(s):  
Xiaolin Man ◽  
Colby C. Swan
Keyword(s):  
Rigid Body ◽  
Human Body ◽  
System Modeling ◽  
Human Motion ◽  
Contact Forces ◽  
Modeling Framework ◽  
Analysis And Design ◽  
Strain Behavior ◽  
Rigid Body Motions ◽  
Human Motions

In the analysis and design of functional clothing systems, it is helpful to quantify the effects of a system on a wearer's physical performance capabilities. Toward this end, a clothing modeling framework for quantifying the mechanical interactions between a given clothing system design and a specific wearer performing defined physical tasks is proposed. The modeling framework consists of three interacting modules: (1) a macroscale fabric mechanics/dynamics model; (2) a collision detection and contact correction module; and (3) a human motion module. In the proposed framework, the macroscopic fabric model is based on a rigorous large deformation continuum-degenerated shell theory representation. Material models that capture the stress-strain behavior of different clothing fabrics are used in the continuum shell framework. The collision and contact module enforces the impenetrability constraint between the fabric and human body and computes the associated contact forces between the two. The human body is represented in the current framework as an assemblage of overlapping ellipsoids that undergo rigid body motions consistent with human motions while performing actions such as walking, running, or jumping. The transient rigid body motions of each ellipsoidal body segment in time are determined using motion capture technology. The integrated modeling framework is then exercised to quantify the resistance that the clothing exerts on the wearer during the specific activities under consideration. Current results from the framework are presented and its intended applications are discussed along with some of the key challenges remaining in clothing system modeling.

Sign in / Sign up

Export Citation Format

Share Document