Se-Kyeong Heo
Papers
1
Total Citations
7
H-Index
1
About
Se-Kyeong Heo is a researcher whose work bridges human-computer interaction and robotics, with a focus on intuitive control systems. Heo’s key research areas include gesture recognition, sensor-based interaction, and robotic applications. His most cited paper, “Smartphone Accelerometer-Based Gesture Recognition and its Robotic Application” (2013, 7 citations), presents a novel method for recognizing gestures using a smartphone’s built-in accelerometer. By applying Dynamic Time Warping (DTW) to measure similarity between time-series acceleration data and representative training gestures, and then using a k-Nearest Neighbors (k-NN) algorithm for classification, Heo achieved robust gesture discrimination. To validate the approach, he implemented a real-time gesture recognition program on an Android smartphone and integrated it with a remote-controlled robot system. Through user-mixed and user-independent experiments, Heo demonstrated the system’s effectiveness, highlighting its potential for accessible, sensor-based control. This work contributes to making robotic interfaces more natural and user-friendly, with implications for assistive technology and mobile interaction. Heo’s research underscores the value of leveraging everyday devices for advanced control, offering a practical path toward seamless human-robot collaboration.
Research Focus
Key Achievements
Top Papers
- 1