Sangha Nam
Papers
2
Total Citations
11
H-Index
2
About
Sangha Nam is a researcher whose work bridges human-computer interaction and spatial intelligence. His key research areas include gesture recognition, mobile sensing, and qualitative spatial reasoning. Nam’s most cited work, “Smartphone Accelerometer-Based Gesture Recognition and its Robotic Application” (2013, 7 citations), introduced a novel method for recognizing user gestures through smartphone accelerometers. By applying Dynamic Time Warping (DTW) and k-Nearest Neighbors (k-NN) algorithms, he enabled accurate classification of time-series acceleration data. He validated this approach by implementing a real-time gesture recognition system on Android devices and integrating it with a remotely controlled robot, demonstrating practical applications in robotics and ubiquitous computing. In his subsequent work, “Qualitative Spatial Reasoning with Directional and Topological Relations” (2015, 4 citations), Nam explored how intelligent systems—from cognitive robots to ambient environments—can represent and reason about spatial relationships. This research contributes to foundational challenges in spatial AI, enabling more adaptive and context-aware systems. Though his citation counts are modest, Nam’s work represents early, innovative steps toward intuitive human-robot interaction and spatial reasoning in intelligent environments.
Research Focus
Key Achievements
Top Papers
- 1
- 2Qualitative Spatial Reasoning with Directional and Topological Relations4 citations · 2015