Sujin Jang

Sujin

Sujin Jang received his Ph.D. from the School of Mechanical Engineering at Purdue University in August 2017. His research work at the C-Design Lab broadly involved human-computer interaction, visual analytics, machine learning, and robotics. His research has focused on creating methodologies and principles for effective use of gestures in HCI. In particular, he has developed methods to analyze and exploit human gesture based on visual analytics integrating machine learning and information visualization; biomechanical arm fatigue analysis; a gestural user interface for human-robot interaction; and an interactive clustering and collaborative filtering approach for hand pose estimation. He also has served as a teaching assistant for ME 444: Computer-aided design and rapid prototyping, and received the Estus H. and Vashti L. Magoon Award for Teaching Excellence in 2015. [Personal Website][LinkedIn]

Arm fatigue accumulates during a prolonged use of mid-air interfaces such as Oculus Rift. (Purdue University Photo/Brian Huchel)

Study Researches ‘Gorilla-Arm’ Fatigue in Mid-Air Computer Usage

Arm fatigue accumulates during a prolonged use of mid-air interfaces such as Oculus Rift. (Purdue University Photo/Brian Huchel) WEST LAFAYETTE, Ind. — Researchers at Purdue… Continue reading...
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Modeling Cumulative Arm Fatigue in Mid-Air Interaction based on Perceived Exertion and Kinetics of Arm Motion

Sujin Jang, Wolfgang Stuerzlinger, Satyajit Ambike, Karthik Ramani
In Proceedings of the ACM Conference on Human Factors in Computing Systems (CHI 2017: 3328-3339), Denver, CO, May 6-11, 2017 (Acceptance Rate: 25%)
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A Collaborative Filtering Approach to Real-Time Hand Pose Estimation

Chiho Choi, Ayan Sinha, Joon Hee Choi, Sujin Jang, and Karthik Ramani
In Proc. IEEE International Conference on Computer Vision (ICCV) 2015, Santiago, Chile.
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MotionFlow for pattern analysis of human motion data. (a) Pose tree: a simplified representation of multiple motion sequences
aggregating the same transitions into a tree diagram. (b) A window dedicated to show a subtree structure based on a query. (c)
Space-filling treemap representation of the motion sequence data using slice-and-dice layout. (d) Node-link diagram of pose
clusters (nodes) and transitions (links) between them. This view supports interactive partition-based pose clustering. (e) Multi-tab
interface for storing unique motion patterns. (f) Animations of single or multiple selected human motions.

MotionFlow: Visual Abstraction and Aggregation of Sequential Patterns in Human Motion Tracking Data

Sujin Jang, Niklas Elmqvist, and Karthik Ramani
IEEE Transaction on Visualization and Computer Graphics (TVCG) vol.22, no.1, pp.21-30, Jan. 31, 2016 / IEEE Conference on Visual Analytics Science and Technology (VAST) Oct. 25-30, Chicago, IL, 2015. In print.
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Magoon Award for Teaching Excellence

Bill Bernstein, Devarajan Ramanujan, Joran Booth, and Sujin Jang  have received this year’s  Estus H. and Vashti L. Magoon Award for Teaching Excellence (2015).… Continue reading...
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GestureAnalyzer: Visual Analytics for Pattern Analysis of Mid-Air Hand Gestures

Sujin Jang, Niklas Elmqvist, Karthik Ramani
Proceedings of the ACM Symposium on Spatial User Interaction, October 4-5, 2014, Honolulu, HI, USA
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PuppetX: A Framework for Gestural Interactions With User Constructed Playthings

Saikat Gupta, Sujin Jang, and Karthik Ramani
Proceedings of the ACM Conference on Advanced Visual Interfaces, May 27-30, Como, Italy. pp. 73-80, 2014
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