Sujin Jang is currently working at Motorola, Chicago, IL. He 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]
Modeling Cumulative Arm Fatigue in Mid-Air Interaction based on Perceived Exertion and Kinetics of Arm Motion
Quantifying cumulative arm muscle fatigue is a critical factor in understanding, evaluating, and optimizing user experience during prolonged mid-air interaction. A reasonably accurate estimation of fatigue requires an estimate of an individual’s strength....
MotionFlow: Visual Abstraction and Aggregation of Sequential Patterns in Human Motion Tracking Data
Pattern analysis of human motions, which is useful in many research areas, requires understanding and comparison of different styles of motion patterns. However, working with human motion tracking data to support such analysis poses great challenges. In this paper, we...
GestureAnalyzer: Visual Analytics for Pattern Analysis of Mid-Air Hand Gestures
Understanding the intent behind human gestures is a critical problem in the design of gestural interactions. A common method to observe and understand how users express gestures is to use elicitation studies. However, these studies requires time-consuming analysis of...
