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123 results on '"Yang, KwangSoo"'

2. In-vehicle Sensing and Data Analysis for Older Drivers with Mild Cognitive Impairment

Author

Moshfeghi, Sonia, Jan, Muhammad Tanveer, Conniff, Joshua, Ghoreishi, Seyedeh Gol Ara, Jang, Jinwoo, Furht, Borko, Yang, Kwangsoo, Rosselli, Monica, Newman, David, Tappen, Ruth, and Smith, Dana

Subjects
Computer Science - Human-Computer Interaction, Computer Science - Artificial Intelligence
Abstract

Driving is a complex daily activity indicating age and disease related cognitive declines. Therefore, deficits in driving performance compared with ones without mild cognitive impairment (MCI) can reflect changes in cognitive functioning. There is increasing evidence that unobtrusive monitoring of older adults driving performance in a daily-life setting may allow us to detect subtle early changes in cognition. The objectives of this paper include designing low-cost in-vehicle sensing hardware capable of obtaining high-precision positioning and telematics data, identifying important indicators for early changes in cognition, and detecting early-warning signs of cognitive impairment in a truly normal, day-to-day driving condition with machine learning approaches. Our statistical analysis comparing drivers with MCI to those without reveals that those with MCI exhibit smoother and safer driving patterns. This suggests that drivers with MCI are cognizant of their condition and tend to avoid erratic driving behaviors. Furthermore, our Random Forest models identified the number of night trips, number of trips, and education as the most influential factors in our data evaluation., Comment: 6 pages, 5 figures, IEEE HONET Conference

Published
2023

3. Methods and Tools for Monitoring Driver's Behavior

Author

Jan, Muhammad Tanveer, Moshfeghi, Sonia, Conniff, Joshua William, Jang, Jinwoo, Yang, Kwangsoo, Zhai, Jiannan, Rosselli, Monica, Newman, David, Tappen, Ruth, and Furht, Borko

Subjects
Computer Science - Computers and Society, Computer Science - Computer Vision and Pattern Recognition
Abstract

In-vehicle sensing technology has gained tremendous attention due to its ability to support major technological developments, such as connected vehicles and self-driving cars. In-vehicle sensing data are invaluable and important data sources for traffic management systems. In this paper we propose an innovative architecture of unobtrusive in-vehicle sensors and present methods and tools that are used to measure the behavior of drivers. The proposed architecture including methods and tools are used in our NIH project to monitor and identify older drivers with early dementia

Published
2023

5. Non-intrusive Drowsiness Detection Techniques and Their Application in Detecting Early Dementia in Older Drivers

Author

Jan, Muhammad Tanveer, Hashemi, Ali, Jang, Jinwoo, Yang, Kwangsoo, Zhai, Jiannan, Newman, David, Tappen, Ruth, Furht, Borko, Kacprzyk, Janusz, Series Editor, Gomide, Fernando, Advisory Editor, Kaynak, Okyay, Advisory Editor, Liu, Derong, Advisory Editor, Pedrycz, Witold, Advisory Editor, Polycarpou, Marios M., Advisory Editor, Rudas, Imre J., Advisory Editor, Wang, Jun, Advisory Editor, and Arai, Kohei, editor

Published
2023
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6. Measuring similarity between geo-tagged videos using largest common view

Author

Ding, Wei, Yang, KwangSoo, and Nam, Kwang Woo

Subjects
Computer Science - Computer Vision and Pattern Recognition, Computer Science - Databases, Computer Science - Machine Learning
Abstract

This paper presents a novel problem for discovering the similar trajectories based on the field of view (FoV) of the video data. The problem is important for many societal applications such as grouping moving objects, classifying geo-images, and identifying the interesting trajectory patterns. Prior work consider only either spatial locations or spatial relationship between two line-segments. However, these approaches show a limitation to find the similar moving objects with common views. In this paper, we propose new algorithm that can group both spatial locations and points of view to identify similar trajectories. We also propose novel methods that reduce the computational cost for the proposed work. Experimental results using real-world datasets demonstrates that the proposed approach outperforms prior work and reduces the computational cost., Comment: 2 pages

Published
2019
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20. Summary

Author

Yang, KwangSoo, Shekhar, Shashi, Yang, KwangSoo, and Shekhar, Shashi

Published
2017
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21. Distance-Constrained k Spatial Sub-Networks: A Summary of Results

Author

Yang, KwangSoo, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Miller, Jennifer A., editor, O'Sullivan, David, editor, and Wiegand, Nancy, editor

Published
2016
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23. Benchmarking Spatial Big Data

Author

Shekhar, Shashi, Evans, Michael R., Gunturi, Viswanath, Yang, KwangSoo, Cugler, Daniel Cintra, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Rabl, Tilmann, editor, Poess, Meikel, editor, Baru, Chaitanya, editor, and Jacobsen, Hans-Arno, editor

Published
2014
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25. Capacity-Constrained Network-Voronoi Diagram: A Summary of Results

Author

Yang, KwangSoo, Shekhar, Apurv Hirsh, Oliver, Dev, Shekhar, Shashi, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Nascimento, Mario A., editor, Sellis, Timos, editor, Cheng, Reynold, editor, Sander, Jörg, editor, Zheng, Yu, editor, Kriegel, Hans-Peter, editor, Renz, Matthias, editor, and Sengstock, Christian, editor

Published
2013
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26. A Dartboard Network Cut Based Approach to Evacuation Route Planning: A Summary of Results

Author

Yang, KwangSoo, Gunturi, Venkata M. V., Shekhar, Shashi, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Xiao, Ningchuan, editor, Kwan, Mei-Po, editor, Goodchild, Michael F., editor, and Shekhar, Shashi, editor

Published
2012
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27. Smarter Water Management: A Challenge for Spatio-Temporal Network Databases

Author

Yang, KwangSoo, Shekhar, Shashi, Dai, Jing, Sahu, Sambit, Naphade, Milind, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Nierstrasz, Oscar, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Sudan, Madhu, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Vardi, Moshe Y., Series editor, Weikum, Gerhard, Series editor, Pfoser, Dieter, editor, Tao, Yufei, editor, Mouratidis, Kyriakos, editor, Nascimento, Mario A., editor, Mokbel, Mohamed, editor, Shekhar, Shashi, editor, and Huang, Yan, editor

Published
2011
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28. A Critical-Time-Point Approach to All-Start-Time Lagrangian Shortest Paths: A Summary of Results

Author

Gunturi, Venkata M. V., Nunes, Ernesto, Yang, KwangSoo, Shekhar, Shashi, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Nierstrasz, Oscar, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Sudan, Madhu, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Vardi, Moshe Y., Series editor, Weikum, Gerhard, Series editor, Pfoser, Dieter, editor, Tao, Yufei, editor, Mouratidis, Kyriakos, editor, Nascimento, Mario A., editor, Mokbel, Mohamed, editor, Shekhar, Shashi, editor, and Huang, Yan, editor

Published
2011
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33. Multiple Resource Network Voronoi Diagram

Author

Qutbuddin, Ahmad and Yang, KwangSoo

Abstract

Given a spatial network and a set of service centers from k different resource types, a Multiple Resource Network Voronoi Diagram (MRNVD) partitions the spatial network into a set of Service Areas that can minimize the total cycle-distances of graph-nodes to allotted k service centers with different resource types. The MRNVD problem is important for critical societal applications such as assigning essential survival supplies (e.g., food, water, gas, and medical assistance) to residents impacted by man-made or natural disasters. The MRNVD problem is NP-hard; it is computationally challenging due to the large size of the transportation network. Previous work proposed the Distance bounded Pruning (DP) approach to produce an optimal solution for MRNVD. However, we found that DP can be generalized to reduce the computational cost for the minimum cycle-distance. In this paper, we extend our prior work and propose a novel approach that reduces the computational cost. Experiments using real-world datasets from five different regions demonstrate that the proposed approach creates MRNVD and significantly reduces the computational cost.

Published
2023
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35. Benchmarking Spatial Big Data

Author

Shekhar, Shashi, primary, Evans, Michael R., additional, Gunturi, Viswanath, additional, Yang, KwangSoo, additional, and Cugler, Daniel Cintra, additional

Published
2014
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