Case Study: Eye Motion Data

2008 ◽  
pp. 1-17
Author(s):  
Nicole A. Lazar
Keyword(s):  
Motion Data ◽  
Eye Motion

scholarly journals Application of Optical Flow Technique and Photogrammetry for Rockfall Dynamics: A Case Study on a Field Test

2021 ◽  
Vol 13 (20) ◽  
pp. 4124
Author(s):  
Dong-Hyun Kim ◽  
Ivan Gratchev
Keyword(s):  
Optical Flow ◽  
Dynamic Behavior ◽  
Monitoring System ◽  
Field Test ◽  
Current Approach ◽  
Tracking Algorithm ◽  
Motion Data ◽  
Slope Monitoring

Optical flow is a vision-based approach that is used for tracking the movement of objects. This robust technique can be an effective tool for determining the source of failures on slope surfaces, including the dynamic behavior of rockfall. However, optical flow-based measurement still remains an issue as the data from optical flow algorithms can be affected by the varied photographing environment, such as weather and illuminations. To address such problems, this paper presents an optical flow-based tracking algorithm that can be employed to extract motion data from video records for slope monitoring. Additionally, a workflow combined with photogrammetry and the optical flow technique has been proposed for producing highly accurate estimations of rockfall motion. The effectiveness of the proposed approach has been evaluated with the dataset obtained from a photogrammetry survey of field rockfall tests performed by the authors in 2015. The results show that the workflow adopted in this study can be suitable to identify rockfall events overtime in a slope monitoring system. The limitations of the current approach are also discussed.

scholarly journals Participatory Design Research Methodologies: A Case Study in Dancer Sonification

2017 ◽  
Author(s):  
Steven Landry ◽  
Myounghoon Jeon
Keyword(s):  
Participatory Design ◽  
Design Research ◽  
Embodied Interaction ◽  
Control Parameters ◽  
Body Movements ◽  
Domain Experts ◽  
Motion Data ◽  
Final Performance ◽  
Design Research Methodology

Given that embodied interaction is widespread in Human-Computer Interaction, interests on the importance of body movements and emotions are gradually increasing. The present paper describes our process of designing and testing a dancer sonification system using a participatory design research methodology. The end goal of the dancer sonification project is to have dancers generate aesthetically pleasing music in real-time based on their dance gestures, instead of dancing to prerecorded music. The generated music should reflect both the kinetic activities and affective contents of the dancer’s movement. To accomplish these goals, expert dancers and musicians were recruited as domain experts in affective gesture and auditory communication. Much of the dancer sonification literature focuses exclusively on describing the final performance piece or the techniques used to process motion data into auditory control parameters. This paper focuses on the methods we used to identify, select, and test the most appropriate motion to sound mappings for a dancer sonification system.

scholarly journals Improvement of Energy Savings in Electric Railways Using Coasting Technique

Energies ◽  
2021 ◽  
Vol 14 (23) ◽  
pp. 8120
Author(s):  
Donato Morea ◽  
Stefano Elia ◽  
Chiara Boccaletti ◽  
Pasquale Buonadonna
Keyword(s):  
Control System ◽  
Energy Savings ◽  
Practical Case ◽  
Time Intervals ◽  
Railway Network ◽  
Motion Data ◽  
Railway Line ◽  
Railway Company ◽  
Hardware And Software System

The main goal of this work is the evaluation of the energy saving achievable in railway drive when using the coasting technique extensively, with reference to a practical case of the Italian railway network taken as an example. This technique consists in exploiting the kinetic energy accumulated by the running train whenever possible. To implement a driving style on purpose, the only driver contribution is not enough; indeed, it is necessary to provide an embedded automatic calculation control system. In the paper, an algorithm has been developed to evaluate the energy absorption of railway locomotives during the normal service and validated on a real railway line. The proposed hardware and software system could be implemented aboard the train, allowing motion data processing in real-time. Speed, time intervals and power absorption for a given path are calculated; then, the best coasting parameters are estimated to maximize the energy savings. In particular, the case study presented in the paper showed that the fast-run strategy, always adopted by the railway company to recover an unexpected delay, can lead to a negligible time recovery with respect to the coasting strategy, while determining a significantly larger energy consumption.

Network analysis of earthquake ground motion spatial correlation: A case study with the san jacinto seismic nodal array

2021 ◽  
Author(s):  
Yixiao Sheng ◽  
Qingkai Kong ◽  
Gregory C Beroza
Keyword(s):  
Spatial Correlation ◽  
Ground Motion ◽  
Strong Motion ◽  
Earthquake Ground Motion ◽  
Graph Analytics ◽  
Motion Data ◽  
Large N ◽  
Aftershock Sequences ◽  
Weak Constraints

Summary The spatial correlation of earthquake ground motion intensity can be measured from strong motion data; however, the data used in past studies is sparsely sampled in space, and only the inter-station distance was considered as a correlation variable. These limitations mean that we have only weak constraints on the true correlation structure of ground motion and that potentially important aspects of spatial correlation are unconstrained. In this study, we combine a large-N seismic array and graph analytics to explore this issue at a local scale using small local and regional earthquakes. Our result suggests site conditions, and how they interact with the incident seismic wavefield, strongly condition the spatial correlation of ground motion. Future progress in characterizing ground motion spatial variability will require dense wavefield measurements, either through nodal deployments, or perhaps distributed acoustic sensing (DAS) measurements, of seismic wavefields. Aftershock sequences of major earthquakes would provide particularly data-rich targets of opportunity.

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