An edge-cloud architecture fuses five sensor types into a four-dimensional risk score for elderly care, achieving 91% activity recognition accuracy and sub-3-second alerts while keeping raw data local.
Sisfall: A fall and movement dataset,
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An Edge-Cloud Collaborative Architecture for Proactive Elderly Care: Real-Time Risk Assessment and Three-Level Emergency Response
An edge-cloud architecture fuses five sensor types into a four-dimensional risk score for elderly care, achieving 91% activity recognition accuracy and sub-3-second alerts while keeping raw data local.