Myagmarbayar Nergui

Chiba University

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

5
H-Index
10
Papers
56
Total Citations
6
Avg Citations/Paper
🏆 Most Cited Paper
Human body contour data based activity recognition
12 citations · 2013
📈 Most Prolific Year: 2013 (5 Papers)
🤝 Key Collaborators: 21
🏛 Institutions: Chiba University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago