Amal H. Alharbi
Papers
1
Total Citations
6
H-Index
1
About
Amal H. Alharbi is a researcher at the forefront of affective computing and ambient assisted living (AAL) technologies. Her work centers on bridging the gap between human emotional states and intelligent environments, with a particular focus on enhancing quality of life through adaptive, responsive systems. Alharbi’s major contribution lies in developing frameworks that translate recognized facial emotions into tangible ambient cues—such as colored lighting—enabling smart environments and assistive robots to dynamically respond to a user’s affective state. Her most-cited paper, “Exploiting facial emotion recognition system for ambient assisted living technologies triggered by interpreting the user's emotional state” (2025, 6 citations), introduces a novel approach to integrating facial emotion recognition (FER) into AAL contexts, demonstrating how real-time emotional interpretation can improve user comfort, engagement, and overall well-being. This work has significant implications for elderly care, mental health support, and human-robot interaction. Alharbi’s research is notable for its human-centric design, emphasizing ethical and practical applications of AI in everyday life. Her growing citation record reflects her emerging influence in the fields of affective computing, smart environments, and assistive technology.
Research Focus
Key Achievements
Top Papers
- 1