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Accompanying Odor Management and Emotion Regulation Fragrant Fumigator Based on Image Recognition and Voice Interaction of IoT

Publicado
Servidor
Preprints.org
DOI
10.20944/preprints202505.1064.v2

This research designs and develops an intelligent aromatic fumigator based on Internet of Things, which combines image recognition and voice interaction technology to achieve closed-loop control of odor management and emotion regulation. The system uses Raspberry Pi 4B main control platform, integrates camera, microphone and speaker, uses DeepFace model to analyze user's facial expression in real time, provides personalized emotion companion service through voice interaction technology, uses emotion recognition results to dynamically link micro-hole spray module to release customized aroma. After a series of rigorous testing experiments, the device exhibits high comprehensive accuracy and low power consumption in emotion recognition. The device fills the gap of multimodal emotion regulation, combines home environment health management and mental health intervention functions, and provides an innovative solution for IoT smart home applications.

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