Integrating Multimodal Emotion Recognition with Deep Q-Learning for Adaptive Social Robot Interaction

Nada Khalil Al-Okbi; Saleh Ali Alomari; Raed Abu Zitar; Aseel Smerat; Muhannad Akram Nazzal; Laith Abualigah

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Publication Date

Sat Jun 06 2026

Journal Name

International Journal Of Robotics And Control Systems

Volume

5

Issue Number

4

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Integrating Multimodal Emotion Recognition with Deep Q-Learning for Adaptive Social Robot Interaction

Adaptive Response Generation

Deep Q-Learning

Emotionally Intelligent Social Robots

Human–Robot Interaction in Healthcare

Multimodal Emotion Recognition

Multimodal Fusion Architecture

Nada Khalil Al-Okbi

Saleh Ali Alomari

Raed Abu Zitar

Aseel Smerat

Muhannad Akram Nazzal

Laith Abualigah

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Publication Date

Thu Jun 30 2011

Journal Name

Al-khwarizmi Engineering Journal

Nahrain Mobile Learning System (NMLS)

Nahrain mobile learning system

short message service

wireless application protocols

multimedia messaging service

mobile learning

personal digital assistant

wireless fidelity

general packet radio service

extensible hypertext markup language

java database connectivity

Mahmood Sami

Mumtaz

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The work in this paper involves the planning, design and implementation of a mobile learning system called Nahrain Mobile Learning System (NMLS). This system provides complete teaching resources, which can be accessed by the students, instructors and administrators through the mobile phones. It presents a viable alternative to Electronic learning. It focuses on the mobility and flexibility of the learning practice, and emphasizes the interaction between the learner and learning content. System users are categorized into three categories: administrators, instructors and students. Different learning activities can be carried out throughout the system, offering necessary communication tools to allow the users to communicate with each other

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Publication Date

Fri Mar 04 2022

Journal Name

Environmental Science And Pollution Research

Geographically weighted regression model for physical, social, and economic factors affecting the COVID-19 pandemic spreading

Ihsan Abbas

Moheb Kamil

Mustafa A.

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Abstract<p>This study aims to analyze the spatial distribution of the epidemic spread and the role of the physical, social, and economic characteristics in this spreading. A geographically weighted regression (GWR) model was built within a GIS environment using infection data monitored by the Iraqi Ministry of Health records for 10 months from March to December 2020. The factors adopted in this model are the size of urban interaction areas and human gatherings, movement level and accessibility, and the volume of public services and facilities that attract people. The results show that it would be possible to deal with each administrative unit in proportion to its circumstances in light of the factors that appe</p> ... Show More

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(14)

Publication Date

Thu Apr 01 2021

Journal Name

Telkomnika (telecommunication Computing Electronics And Control)

Automatic human ear detection approach using modified adaptive search window technique

Raad Ahmed

Loay E.

Zainab J.

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(4)

(2)

Publication Date

Sat Jan 01 2022

Journal Name

Space International Journal Of Space Studies In Architecture And Urban Design

Adaptive Reuse of Traditional Architecture under the Influence of Intelligent Systems

Amna Nasir

Rand H.M.

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Publication Date

Fri Sep 18 2020

Journal Name

Hal Open Science

Adaptive Approximation Control of Robotic Manipulators: Centralized and Decentralized Control Algorithms

Hayder

Yibin

Rui

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The regressor-based adaptive control is useful for controlling robotic systems with uncertain parameters but with known structure of robot dynamics. Unmodeled dynamics could lead to instability problems unless modification of control law is used. In addition, exact calculation of regressor for robots with more than 6 degrees of freedom is hard to be calculated, and the task could be more complex for robots. Whereas the adaptive approximation control is a powerful tool for controlling robotic systems with unmodeled dynamics. The local (partitioned) approximation-based adaptive control includes representation of the uncertain matrices and vectors in the robot model as finite combinations of basis functions. Update laws for the weighting matri

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Publication Date

Wed Jun 24 2015

Journal Name

Chinese Journal Of Biomedical Engineering

Single Channel Fetal ECG Detection Using LMS and RLS Adaptive Filters

Alaa

Ali

ZHENG

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ECG is an important tool for the primary diagnosis of heart diseases, which shows the electrophysiology of the heart. In our method, a single maternal abdominal ECG signal is taken as an input signal and the maternal P-QRS-T complexes of original signal is averaged and repeated and taken as a reference signal. LMS and RLS adaptive filters algorithms are applied. The results showed that the fetal ECGs have been successfully detected. The accuracy of Daisy database was up to 84% of LMS and 88% of RLS while PhysioNet was up to 98% and 96% for LMS and RLS respectively.

Publication Date

Wed Apr 01 2015

Journal Name

2015 Annual Ieee Systems Conference (syscon) Proceedings

Automatic generation of fuzzy classification rules using granulation-based adaptive clustering

M.

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(4)

Publication Date

Tue May 01 2018

Journal Name

2018 2nd Ieee Advanced Information Management,communicates,electronic And Automation Control Conference (imcec)

Hybrid Regressor and Approximation-Based Adaptive Control of Piezoelectric Flexible Beams

Hayder F. N.

Rui

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(6)

(3)

Publication Date

Sun May 01 2016

Journal Name

International Journal Of Computer Applications

Lossless Image Compression using Adaptive Predictive Coding of Selected Seed Values

Ghadah

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Publication Date

Thu Mar 01 2007

Journal Name

Al-khwarizmi Engineering Journal

Image restoration using regularized inverse filtering and adaptive threshold wavelet denoising

Firas

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Although the Wiener filtering is the optimal tradeoff of inverse filtering and noise smoothing, in the case when the blurring filter is singular, the Wiener filtering actually amplify the noise. This suggests that a denoising step is needed to remove the amplified noise .Wavelet-based denoising scheme provides a natural technique for this purpose .

In this paper a new image restoration scheme is proposed, the scheme contains two separate steps : Fourier-domain inverse filtering and wavelet-domain image denoising. The first stage is Wiener filtering of the input image , the filtered image is inputted to adaptive threshold wavelet

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