Chiung Ching Ho
Papers
1
Total Citations
2
H-Index
1
About
Dr. Chiung Ching Ho is a researcher at the forefront of human-computer interaction and intelligent robotics, with a particular focus on integrating deep learning with gesture-based control systems. Her most cited work, "Virtual Robotic Arm Control with Hand Gesture Recognition and Deep Learning Strategies" (2017), demonstrates a novel approach to real-time robotic manipulation by leveraging deep learning techniques to interpret hand gestures. This research introduces a portable, programmable robotic arm that can be intuitively controlled without physical contact, bridging the gap between human intent and machine action. Although her citation count is currently modest, the work represents a foundational contribution to accessible, non-invasive control interfaces for assistive and industrial robotics. Dr. Ho’s research addresses critical challenges in making robotic systems more responsive and user-friendly, with potential applications ranging from rehabilitation to hazardous environment operations. Her integration of deep learning with gesture recognition marks a significant step toward more natural and efficient human-robot collaboration, positioning her as an emerging voice in the field of intelligent interactive systems.
Research Focus
Key Achievements
Top Papers
- 1