IMC 3 Lab
Multimodal Biosensors Framework for Fall Detection & Healthcare
Wearable IoT Framework for Elderly Patient Safety
Dr Kifayat Khan Kainat Iqbal
Project Overview
A wearable IoT framework integrating multimodal biosensors with intelligent signal processing for fall detection and remote health monitoring of elderly patients. The system fuses accelerometer, gyroscope, and heart rate data through deep learning models to distinguish between falls and daily activities.
System Architecture
Inputs
Accel + Gyro
Heart Rate
Processing Pipeline
Signal Denoising
Feature Extraction
DL Classifier
Decision Fusion
Outputs
Fall Alert
Health Report
Related Publications (1)
Curated from publications by Kainat Iqbal
2024journal
Empirical Analysis of Honeybees Acoustics as Biosensors Signals for Swarm Prediction in Beehives
IEEE Access, 2024
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