The development, application, and limitations of 3D human simulations in fall accidents

2005 ◽  
Author(s):  
Gary David Sloan
Keyword(s):  
Development Application ◽  
Fall Accidents

The Development, Application, and Limitations of 3D Human Simulations in Fall Accidents

2005 ◽  
Vol 49 (9) ◽  
pp. 858-861 ◽  
Author(s):  
Gary David Sloan
Keyword(s):  
Coefficient Of Friction ◽  
Human Body ◽  
Body Segment ◽  
Body Segments ◽  
Velocity Coefficient ◽  
Patterns Of Injury ◽  
Accident Site ◽  
Development Application ◽  
Fall Accidents

A tool that predicts the trajectories of linked human body segments on the basis of their inertial properties could be useful in the analysis of fall accidents. In order to be of value in forensic applications, relevant attributes of both the plaintiff and accident site must be modeled at some requisite level of fidelity. By systematically varying different attributes of the model, e.g., avatar posture, body segment velocity, coefficient-of-friction between modeled treads and footwear, it is possible to examine the likely consequences on body-segment trajectories. Trajectories and collisions can then be compared with patterns of injury, plaintiff testimony, and witness accounts.

Integration of Core-Edge Spectroscopy Methods for the Study of Polymers

1996 ◽  
Vol 54 ◽  
pp. 154-155
Author(s):  
E. G. Rightor
Keyword(s):  
Excited State ◽  
Polymer Blends ◽  
Gas Phase ◽  
Spatial Resolution ◽  
High Spatial Resolution ◽  
Electronic States ◽  
Core Electron ◽  
Bulk Solids ◽  
Development Application

Core edge spectroscopy methods are versatile tools for investigating a wide variety of materials. They can be used to probe the electronic states of materials in bulk solids, on surfaces, or in the gas phase. This family of methods involves promoting an inner shell (core) electron to an excited state and recording either the primary excitation or secondary decay of the excited state. The techniques are complimentary and have different strengths and limitations for studying challenging aspects of materials. The need to identify components in polymers or polymer blends at high spatial resolution has driven development, application, and integration of results from several of these methods.

Effect of the Stages of Floral Development and Postharvest Temperatures to Flowering of Eremurus in Israel

HortScience ◽  
1998 ◽  
Vol 33 (3) ◽  
pp. 536d-536
Author(s):  
Rina Kamenetsky
Keyword(s):  
Morphological Analysis ◽  
Developmental Disorder ◽  
Floral Development ◽  
The Third ◽  
Initial Stage ◽  
Floral Differentiation ◽  
Soil Temperatures ◽  
Very High ◽  
Development Application ◽  
Flowering Process

The influence of postharvest temperature on the flowering response of Eremurus was studied. The plants were harvested at four different stages of development and were separated into three groups. The first group was immediately exposed to 2 °C, the second group to 20 °C followed by 2 °C, and the third group to 20 °C followed by 32 °C and, subsequently, 2 °C. Scanning electron microscopy (SEM) was used for concurrent morphological analysis of floral development. Application of 2 °C to the plants in the initial stage of floral development caused plant destruction and death, while the same treatment applied at the stage of full differentiation promoted normal flowering. Temperatures of 20 °C and, especially, 32 °C, significantly improved flowering of the plants harvested in the early stages of florogenesis, whereas the same treatment applied to the plants harvested at the end of flower differentiation did not affect the flowering process. A developmental disorder, which we term “Interrupted Floral Development” (IFD), was observed only in the plants harvested when the racemes were fully differentiated. This was probably caused by the very high air and soil temperatures that prevail in Israel during the summer. The extent of floral differentiation has a determinant role in subsequent scape elongation and flowering.

DEVELOPMENT & APPLICATION OF MCNP AUTO-MODELING TOOL: MCAM 2.0

2003 ◽  
Author(s):  
XIAOPING LIU ◽  
LILI TONG ◽  
YUETONG LUO ◽  
YU YANG ◽  
XIAOYI WENG ◽  
...  
Keyword(s):  
Modeling Tool ◽  
Development Application

Biofuels and biorefineries: Development, application and future perspectives emphasizing the environmental and economic aspects

2021 ◽  
Vol 297 ◽  
pp. 113268
Author(s):  
Muhammad Kashif Shahid ◽  
Ayesha Batool ◽  
Ayesha Kashif ◽  
Muhammad Haq Nawaz ◽  
Muhammad Aslam ◽  
...  
Keyword(s):  
Economic Aspects ◽  
Future Perspectives ◽  
Development Application

Fall Detection via Inaudible Acoustic Sensing

2021 ◽  
Vol 5 (3) ◽  
pp. 1-21
Author(s):  
Jie Lian ◽  
Xu Yuan ◽  
Ming Li ◽  
Nian-Feng Tzeng
Keyword(s):  
Continuous Wave ◽  
Detection System ◽  
Fall Detection ◽  
Superior Performance ◽  
Medical Assistance ◽  
Acoustic Sensing ◽  
Value Decomposition ◽  
Human Motions ◽  
Audio Device ◽  
Fall Accidents

The fall detection system is of critical importance in protecting elders through promptly discovering fall accidents to provide immediate medical assistance, potentially saving elders' lives. This paper aims to develop a novel and lightweight fall detection system by relying solely on a home audio device via inaudible acoustic sensing, to recognize fall occurrences for wide home deployment. In particular, we program the audio device to let its speaker emit 20kHz continuous wave, while utilizing a microphone to record reflected signals for capturing the Doppler shift caused by the fall. Considering interferences from different factors, we first develop a set of solutions for their removal to get clean spectrograms and then apply the power burst curve to locate the time points at which human motions happen. A set of effective features is then extracted from the spectrograms for representing the fall patterns, distinguishable from normal activities. We further apply the Singular Value Decomposition (SVD) and K-mean algorithms to reduce the data feature dimensions and to cluster the data, respectively, before input them to a Hidden Markov Model for training and classification. In the end, our system is implemented and deployed in various environments for evaluation. The experimental results demonstrate that our system can achieve superior performance for detecting fall accidents and is robust to environment changes, i.e., transferable to other environments after training in one environment.

Sign in / Sign up

Export Citation Format

Share Document