IMC 5 Lab

IoT & Cloud-Based RGB+D Telerehabilitation

Multi-Modal Perception for Remote Patient Monitoring

Amir Nadeem

Project Overview

An IoT and cloud-based telerehabilitation framework using RGB-Depth sensors for remote patient monitoring and rehabilitation assessment. The system captures 3D skeletal data and RGB video to analyze exercise quality, range of motion, and treatment adherence, providing real-time feedback to patients and progress reports to therapists via secure cloud infrastructure for at-home rehabilitation programs.

System Architecture

Inputs

RGB-D Sensor

Wearables

Processing Pipeline

Skeletal Extraction

Exercise Quality

Cloud Streaming

Outputs

Therapist Dashboard

Feedback

Related Publications (2)

Curated from publications by Aamir Nadeem

2026journal

A novel deep learning-based object detection along semantic segmentation on aerial imagery

M Abdelhaq, A Naseer, R Alsaqour, A Jalal, MA Jamal, A Nadeem, J Kim

PeerJ Computer Science 12, e3648, 2026

View on Scholar

2021journal

Automatic human posture estimation for sport activity recognition with robust body parts detection and entropy markov model

A Nadeem, A Jalal, K Kim

Multimedia Tools and Applications 80 (14), 21465-21498, 2021

View on Scholar

Back to IMC 5 Lab Home