IMC Lab
Multimodal Biosensors Framework for Fall Detection & Healthcare
Wearable IoT Framework for Elderly Patient Safety
Ahmad Jalal Iqra Abro Aimen Sana Khan Sana Malik
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 (8)
Curated from publications by Professor Dr. Hafiz Ahmad Jalal
2025journal
Multimodal intelligent biosensors framework for fall disease detection and healthcare monitoring
Frontiers in Bioengineering and Biotechnology 13, 1544968, 2025
View on Scholar2026journal
Multimodal Healthcare System for Human Activity Recognition using Multiple Features and Advanced Ensemble Classifier
Digital Health, 2026
View on Scholar2023journal
Biosensor-based multimodal deep human locomotion decoding via internet of healthcare things
Micromachines 14 (12), 2204, 2023
View on Scholar2026journal
SleepCode: A Novel Attention-Driven Multimodal Framework for Sleep Staging and Obstructive Apnea Screening
IEEE Transactions on Consumer Electronics, 2026
View on Scholar2026journal
Multimodal Neural Network Framework for Individual and Social Activity Recognition in UAV Surveillance
IEEE Access, 2026
View on Scholar2026journal
CrowdVoxel-Net: Voxelized Geometry and Transformer-Based Multimodal Fusion for Activity Recognition and Anomaly Detection in UAV-Based Crowded Scenes
Egyptian Informatics Journal, 2026
View on Scholar2026journal
Attention-Based Multimodal Framework for Athlete-Performance Analysis and Rehabilitation Monitoring Using Vision and Wearable Sensors
Bioengineering, 2026
View on Scholar2026journal
Multimodal Human Interaction Recognition Framework Using Multi-Features and Deep Learning Approach.
International Arab Journal of Information Technology (IAJIT) 23 (1), 2026
View on Scholar

