Eman A. Altuwaijri
Papers
1
Total Citations
17
H-Index
1
About
Eman A. Altuwaijri is a rising researcher at the intersection of computer vision and human-robot interaction, with a focused expertise in multimodal age and gender estimation. Her most cited work, a 2023 systematic literature review on the topic, synthesizes cutting-edge approaches for enabling adaptive robotic systems to perceive human demographic attributes through speech and visual cues. This foundational contribution, garnering 17 citations, addresses a critical challenge in creating socially aware robots capable of tailoring their behavior based on a user's perceived age and gender. Altuwaijri's research directly supports applications in demographic analysis, personalized safety systems, and trust-building in human-robot teams. By mapping the landscape of multimodal estimation techniques, she has provided a vital roadmap for future work in adaptive interaction. Her achievements signal a promising trajectory in making human-robot collaboration more intuitive and context-aware, with her review serving as a key reference for researchers aiming to bridge the gap between computer vision and socially intelligent robotics.
Research Focus
Key Achievements
Top Papers
- 1