Search

Your search keyword '"Raza, Muhammad Amjad"' showing total 16 results
Start Over Author "Raza, Muhammad Amjad" Publication Year Range Last 50 years
16 results on '"Raza, Muhammad Amjad"'

5. Ultra-Wide Band Radar Empowered Driver Drowsiness Detection with Convolutional Spatial Feature Engineering and Artificial Intelligence

Author

Siddiqui, Hafeez Ur Rehman, primary, Akmal, Ambreen, additional, Iqbal, Muhammad, additional, Saleem, Adil Ali, additional, Raza, Muhammad Amjad, additional, Zafar, Kainat, additional, Zaib, Aqsa, additional, Dudley, Sandra, additional, Arambarri, Jon, additional, Castilla, Ángel Kuc, additional, and Rustam, Furqan, additional

Published
2024
Full Text
View/download PDF

6. Therapeutic Exercise Recognition Using a Single UWB Radar with AI-Driven Feature Fusion and ML Techniques in a Real Environment.

Author

Hussain, Shahzad, Siddiqui, Hafeez Ur Rehman, Saleem, Adil Ali, Raza, Muhammad Amjad, Iturriaga, Josep Alemany, Velarde-Sotres, Alvaro, and Díez, Isabel De la Torre

Subjects
EXERCISE therapy, COVID-19 pandemic, MAGNETIC susceptibility, ARTIFICIAL intelligence, CLINICAL supervision
Abstract

Physiotherapy plays a crucial role in the rehabilitation of damaged or defective organs due to injuries or illnesses, often requiring long-term supervision by a physiotherapist in clinical settings or at home. AI-based support systems have been developed to enhance the precision and effectiveness of physiotherapy, particularly during the COVID-19 pandemic. These systems, which include game-based or tele-rehabilitation monitoring using camera-based optical systems like Vicon and Microsoft Kinect, face challenges such as privacy concerns, occlusion, and sensitivity to environmental light. Non-optical sensor alternatives, such as Inertial Movement Units (IMUs), Wi-Fi, ultrasound sensors, and ultrawide band (UWB) radar, have emerged to address these issues. Although IMUs are portable and cost-effective, they suffer from disadvantages like drift over time, limited range, and susceptibility to magnetic interference. In this study, a single UWB radar was utilized to recognize five therapeutic exercises related to the upper limb, performed by 34 male volunteers in a real environment. A novel feature fusion approach was developed to extract distinguishing features for these exercises. Various machine learning methods were applied, with the EnsembleRRGraBoost ensemble method achieving the highest recognition accuracy of 99.45%. The performance of the EnsembleRRGraBoost model was further validated using five-fold cross-validation, maintaining its high accuracy. [ABSTRACT FROM AUTHOR]

Published
2024
Full Text
View/download PDF

11. IoT Based Smart Physiotherapy System: A Review

Author

Saleem, Adil Ali, primary, Zafar, Kainat, additional, Raza, Muhammad Amjad, additional, Kareem, Zahid, additional, din, Mui-zzud-, additional, Siddiqui, Hafeez Ur Rehman, additional, and Dudley, Sandra, additional

Published
2022
Full Text
View/download PDF

14. Target tracking under communication constraints

Author

Raza, Muhammad Amjad and Raza, Muhammad Amjad

Abstract

Target tracking under communication constraints is discussed in this thesis. We propose three major distributed tracking/estimation techniques using low data rate communication links between sensor and fusion center nodes. We observe a small loss of tracking performance when we compare local estimators and the proposed distributed methods. However, the trade-off between low data rate and loss in performance is reasonable. We include both simulation and mathematical results to support our findings in this thesis. Chapter 3, Chapter 4, Chapter 5 and Chapter 6 cover contributions of this work.

Published
2016

Catalog

Books, media, physical & digital resources
See catalog results