Sujin Jang


Sujin Jang is a PhD candidate in the School of Mechanical Engineering at Purdue University. He received B.S. in Mechanical and Automotive Engineering from Kookmin University, South Korea (2010) and completed M.S. in Mechanical Engineering at the University of Florida (2012). He is currently working at the C-Design Lab as a research assistant under advisory of Dr. Ramani. He has research experience in vision-based estimation and its robotic applications, machine learning, and computer vision. His current research broadly involves human-computer interactions, visual analytics, and machine learning. In particular, the goal of his research aims (i) to create natural human-computer interaction systems using human body as an interaction modality, and (ii) to establish the fundamental principles when designing such novel interaction systems. [Personal Website]

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...

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%)

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.
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.

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). This… Continue reading...

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

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