Myagmarbayar Nergui
Papers
10
Total Citations
56
H-Index
5
About
Myagmarbayar Nergui is a robotics and human-computer interaction researcher whose work centers on autonomous mobile healthcare robots, human motion recognition, and socially assistive robotics. With a sustained focus on improving quality of life for elderly and rehabilitation patients, Nergui has made meaningful contributions to the development of bio-monitoring robots capable of tracking patient movement, interpreting behavioral patterns, and triggering emergency medical alerts — all within home environments. Among their most cited contributions, Nergui's 2013 work on human body contour data-based activity recognition (12 citations) stands as a cornerstone effort, demonstrating how visual sensing technologies can enable robots to autonomously interpret human behavior. Complementary studies on human motion tracking using Hidden Markov Models and RGB-D saliency-based visual control further advanced the field of intelligent robotic perception. Nergui also extended their research into social robotics, developing conversational robots designed to support elderly individuals with dementia by facilitating group interaction, laughter expression, and story-sharing — addressing Japan's growing super-aged society challenge. The sound source localization work additionally highlights a multidisciplinary approach to human-robot interaction. Collectively, Nergui's portfolio reflects a coherent and compassionate research vision at the intersection of robotics, healthcare, and cognitive support.
Research Focus
Key Achievements
Top Papers
- 1Human body contour data based activity recognition12 citations · 2013
- 2Human Motion Tracking and Measurement by a Mobile Robot8 citations · 2011
- 3HUMAN GAIT BEHAVIOR INTERPRETATION BY A MOBILE HOME HEALTHCARE ROBOT7 citations · 2012
- 4
- 5Human Behavior Recognition by a Bio-monitoring Mobile Robot5 citations · 2012
- 6
- 7
- 8
- 9Human motion tracking and recognition using HMM by a mobile robot2 citations · 2013
- 10Human Behavior Recognition by a Mobile Robot Following Human Subjects2 citations · 2013