A Chameleon-inspired Biomimetic Sensing and Control Framework for Mood Change Detection and Regulation
DOI:
https://doi.org/10.46610/JoAESP.2026.v03i01.003Keywords:
Biomimicry, Chameleon-inspired control, Emotional regulation, Mood sensing, Naturopathy-based intervention, Physiological signalsAbstract
The Autonomic Nervous System (ANS) is the major system governing human emotional states and moods, which can be measured using physiological parameters such as Heart Rate Variability (HRV), Galvanic Skin Response (GSR), skin temperature, and breathing patterns. Studies have confirmed that multimodal physiological sensing is a reliable, non-invasive, and real-time approach for monitoring emotions and stress, further enhanced by advanced signal processing and machine learning algorithms. Breathing is a critical component of these parameters, which affect autonomic balance and serve as a major regulator in feedback-controlled emotional processes. Chameleons are exemplary of rapid and dynamic color changes caused by emotional arousal, external forces, and social stimuli through interlinked neural-hormonal mechanisms. Based on this natural resilience, this work proposes a biomimetic chameleon model for human mood detection and control. This approach combines various physiological sensors with a control mechanism that adjusts the intensity of intervention based on the mood changes. Unlike conventional recognition-oriented classifiers, the model emphasizes closed-loop control through subtle intervention tools such as paced breathing exercises, chromatic visual stimuli, audio cues, and yoga responses. Experimental findings indicate improved mood stability, reduced stress indicators, and enhanced affective flexibility, making it a promising approach for active mental health and wellness applications.
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