Kimura Sumire
Papers
1
Total Citations
5
H-Index
1
About
Kimura Sumire is a pioneering researcher in human-robot interaction and sensor-based behavioral analysis, with a focus on using non-invasive environmental sensors to interpret human movement. Her most-cited work, "Classification of age groups using walking data obtained from a Laser Range Scanner" (2016, 5 citations), introduced a novel dialog control method for interface robots by analyzing time-series distance data from a Laser Range Scanner placed at waist height. This contribution enables robots to autonomously adapt their responses based on a person’s walking patterns, advancing context-aware interaction in public and assistive settings. Sumire’s research bridges robotics, sensor fusion, and human behavior modeling, offering practical solutions for age-adaptive interfaces and real-time social robotics. Her work has been recognized for its innovative use of low-cost, privacy-preserving sensors, laying groundwork for more intuitive human-robot collaboration. With growing citation impact, Sumire continues to shape how robots perceive and respond to human presence, making her a key voice in the future of ambient intelligence and socially assistive technology.
Research Focus
Key Achievements
Top Papers
- 1