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HEALTH MONITORING SYSTEM FOR ELDERLY USING mmWave SENSOR FOR FALL DETECTION AND ACTIVITY TRACKING

Year: 2024

Type: article

Abstract: This study introduces a complete, contactless health monitoring system that tracks and detects falls using mmWave technology.As the system offers precise real-time data, invasive wearable technology is no longer necessary.According to the experimental findings, the mmWave sensor-based method has considerable potential for applications involving elder care because it is very successful in fall detection and activity tracking.Future developments, including AI-driven predictive analytics, may increase system effectiveness even more, making it a useful instrument for protecting senior citizens' safety and wellbeing.

Source: International Research Journal of Education and Technology (IRJET).

DOI: 10.70127/irjedt.vol.7.issue03.1117

Author: Rajapandi P

Language: English

Topic: Context-Aware Activity Recognition Systems

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: hybrid

OpenAlex ID: W4408674708

FWCI:

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