Kanlaya Rattanyu

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About

Kanlaya Rattanyu is a researcher specializing in affective computing, human-robot interaction, and physiological signal processing, with a particular focus on emotion recognition technologies designed for intelligent living environments. Her most influential work explores how service robots can detect and respond to human emotional states by analyzing biological signals, most notably electrocardiogram (ECG) data. Rattanyu's 2010 paper on emotion monitoring from physiological signals, which has garnered 38 citations, laid important groundwork for integrating emotion-aware systems into everyday domestic settings, addressing emotional states such as fear, anger, disgust, and sadness. Building on this foundation, her 2011 research on ECG-based emotion recognition introduced a sophisticated approach combining inter-beat and within-beat features, refined through statistical methods including ANOVA-based post hoc testing, earning 30 citations. Her broader work on biological signal-based emotion recognition in intelligent spaces further demonstrates her commitment to developing responsive, human-centered robotic systems. Collectively, Rattanyu's contributions advance the vision of emotionally intelligent service robots capable of enhancing human well-being in daily life, making her a notable voice in the intersection of affective computing and smart environment research.