Abdulmotaleb El Saddik

University of Ottawa

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i-10 index

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Co-Authors

Mohamad Eid

New York University Abu Dhabi

Wail Gueaieb

University of Ottawa

Haiwei Dong

University of Ottawa

M. Anwar Hossain

Queen's University

Fedwa Laamarti

University of Ottawa

A. Rahman

Truman State University

Xuezhi Xiang

Harbin Engineering University

Md. Abdur Rahman

United International University

Pradeep K. Atrey

University at Albany, State University of New York

Jongeun Cha

University of Ottawa

Cooperative Institutions

University of Ottawa

233

Institute of Electrical and Electronics Engineers

University of Catania

Mohamed bin Zayed University of Artificial Intelligence

Ottawa University

Chinese Academy of Sciences

Harbin Engineering University

University of Chinese Academy of Sciences

Carleton University

Harbin Institute of Technology

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Ubiquitous Biofeedback Serious Game for Stress Management

IEEE Access (2016)

Hussein Al Osman Haiwei Dong Abdulmotaleb El Saddik

Serious games augment utilitarian applications with an entertainment dimension. Hence, information pertaining to a utilitarian objective is seamlessly incorporated into the gaming scenario. In this paper, we present the concept of ubiquitous biofeedback serious games (UBSGs), a family of games that integrate biofeedback processes in their operation. They rely on physiological inputs collected from the player through biological sensors for game control. These physiological inputs are converted into quantifiable parameters that reflect the status of a certain physiological process. To prove the practicality of this concept, we develop a UBSG aimed at providing mental stress management services to players. We assess the ability of the game feedback to assist players in modulating their behavior to reduce their stress levels. In our evaluation, we have shown that the majority of participating subjects showed more control over their mental stress when game feedback was enabled.

Biofeedback

Stress Management

10.1109/access.2016.2548980

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Citations (72)

Heart Rate Variability Extraction From Videos Signals: ICA vs. EVM Comparison

IEEE Access (2017)

Karim Alghoul Saeed Alharthi Hussein Al Osman Abdulmotaleb El Saddik

Medical researchers have always been interested in heart rate (HR) and heart rate variability (HRV) analysis. However, nowadays, investigators from a variety of other fields are also probing the subject. Recent advancements in non-contact HR and HRV measurement techniques will likely further boost interest in emotional estimation through HRV. Such measurement methods involve the extraction of the photoplethysmography (PPG) signal from the human's face through a camera. The latest approaches apply independent component analysis (ICA) on the color channels of video recordings to extract a PPG signal. Other investigated methods rely on Eulerian video magnification (EVM) to detect subtle changes in skin color associated with the PPG. To the best of our knowledge, EVM has not been successfully employed to extract HRV features from a video of a human face. In this paper, we present a comparison between our two approaches, one which is based on the ICA and the other is based on EVM. Final results show that the proposed ICA-based method yields better results when it comes to the high frequency (HF) and low frequency over high-frequency (LF/HF) HRV parameters [mean absolute error (MAE) of 0.57 and 0.419] when compared with the EVM-based method (MAE 0.76 and 1.69); however, the second method showed better MAE results for low frequency (LF) and higher correlation with the ground truth. Also our proposed ICA method showed better results in general by improving HF estimates, but the EVM-based method might be more appropriate when motion is involved or when the HF component is not important.

Photoplethysmogram

SIGNAL (programming language)

10.1109/access.2017.2678521

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Citations (79)

An Overview of Serious Games

International Journal of Computer Games Technology (2014)

Fedwa Laamarti Mohamad Eid Abdulmotaleb El Saddik

Serious games are growing rapidly as a gaming industry as well as a field of academic research. There are many surveys in the field of digital serious games; however, most surveys are specific to a particular area such as education or health. So far, there has been little work done to survey digital serious games in general, which is the main goal of this paper. Hence, we discuss relevant work on serious games in different application areas including education, well-being, advertisement, cultural heritage, interpersonal communication, and health care. We also propose a taxonomy for digital serious games, and we suggest a classification of reviewed serious games applications from the literature against the defined taxonomy. Finally, the paper provides guidelines, drawn from the literature, for the design and development of successful serious games, as well as discussing research perspectives in this domain.

Serious game

10.1155/2014/358152

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Citations (519)

SITE: The Simple Internet of Things Enabler for Smart Homes

IEEE Access (2017)

Basim Hafidh Hussein Al Osman Juan Arteaga-Falconi Haiwei Dong Abdulmotaleb El Saddik

This paper presents the simple Internet of Things enabler (SITE), a smart home solution that allows users to specify and centrally control Internet of Things smart objects. Unlike most existing systems, SITE supports End-User Development. Hence, it defines a simple language for the specification of control rules for smart objects. It also provides a user interface to graphically illustrate the data received from smart objects. To assess the usability of SITE, we conduct an empirical study involving 20 participants belonging to two user groups: users with technical training (IT users) and users without technical training (non-IT users). We demonstrate that both user groups can satisfactorily build smart objects and define control rules in a smart home environment using SITE.

Enabling

Smart objects

Home Automation

10.1109/access.2017.2653079

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Citations (41)

Extreme Learning Machines for approximating nonlinear dimensionality reduction mappings: Application to Haptic handwritten signatures

2022 International Joint Conference on Neural Networks (IJCNN) (2016)

Julio J. Valdés Fawaz A. Alsulaiman Abdulmotaleb El Saddik

The abundance of computing and mobile devices makes the problem of user identification and verification an essential requirement for many applications. Haptics devices include the sense of touch in the form of kinesthetic and tactile feedback which provide additional features within handwritten signatures. However, they generate high dimensional data and dimensionality reduction techniques become useful for data mining, machine learning and visualization. Nonlinear transformations have been used for this, but in present day scenarios (Big Data, the Internet of Things, massive data streams, etc.) the computation becomes more complex, time consuming or impractical. Moreover, the relationships between the features of the original and the target spaces are more difficult to uncover. Extreme Learning Machines (ELM) are used for approximating nonlinear manifold learning methods in two ways: as a functional representation for implicit methods, and as simpler surrogate models for explicit mapping techniques. In the context of Haptic handwritten signatures, five implicit and explicit nonlinear transformation methods are investigated. In all cases it was found that ELM approximations to the mappings obtained with the original methods exhibit very good behavior and can be used either as functional representations for the implicit methods or as simpler surrogate models for explicit techniques.

Extreme Learning Machine

Representation

10.1109/ijcnn.2016.7727568

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Citations (1)

Three-Dimensional Password for More Secure Authentication

IEEE Transactions on Instrumentation and Measurement (2008)

Fawaz A. Alsulaiman Abdulmotaleb El Saddik

Current authentication systems suffer from many weaknesses. Textual passwords are commonly used; however, users do not follow their requirements. Users tend to choose meaningful words from dictionaries, which make textual passwords easy to break and vulnerable to dictionary or brute force attacks. Many available graphical passwords have a password space that is less than or equal to the textual password space. Smart cards or tokens can be stolen. Many biometric authentications have been proposed; however, users tend to resist using biometrics because of their intrusiveness and the effect on their privacy. Moreover, biometrics cannot be revoked. In this paper, we present and evaluate our contribution, i.e., the 3-D password. The 3-D password is a multifactor authentication scheme. To be authenticated, we present a 3-D virtual environment where the user navigates and interacts with various objects. The sequence of actions and interactions toward the objects inside the 3-D environment constructs the user's 3-D password. The 3-D password can combine most existing authentication schemes such as textual passwords, graphical passwords, and various types of biometrics into a 3-D virtual environment. The design of the 3-D virtual environment and the type of objects selected determine the 3-D password key space.

Cognitive password

Dictionary attack

Password cracking

10.1109/tim.2008.919905

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Citations (69)

AAD-Net: Advanced end-to-end signal processing system for human emotion detection & recognition using attention-based deep echo state network

Knowledge-Based Systems (2023)

Mustaqeem Khan Abdulmotaleb El Saddik Fahd S. Alotaibi Nhat Truong Pham

Fusion mechanism

Feature (linguistics)

Fuse (electrical)

SIGNAL (programming language)

Convolution (computer science)

10.1016/j.knosys.2023.110525

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Citations (36)

Self-supervised monocular depth estimation with self-distillation and dense skip connection

Computer Vision and Image Understanding (2024)

Xuezhi Xiang W.S. Li Yao Wang Abdulmotaleb El Saddik

Monocular

10.1016/j.cviu.2024.104048

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Citations (0)

The Solar System as a 3D Metaphor to Visualize User Interactions in a Social Network

Wanjun Pei Benjamin Guthier Abdulmotaleb El Saddik

With the popularity of social networks, users can communicate with each other in a more convenient way. However, the increasing amount of data poses new challenges for the analysis of the social activities of the users. In this paper, we propose to visualize the heterogeneous information of user interactions in a social network in a three-dimensional way using the concept of solar systems. The target user represents the center of the solar system. We determine physical variables from interaction frequencies between the user and their friends to be visualized. This gives the user a better insight about their relationships on Facebook. To show the interactions between the user and their friends, we choose four variables related to the solar system: the size of each planet, its angular velocity, and the semi-major and the semi-minor axis of its elliptical orbit. Our system measures the interaction frequencies between a user and their friends based on a linear model. Its coefficients are derived from an online survey we performed. The experimental results indicate that the accuracy of our estimated interaction frequency is better than the accuracies for each individual interaction feature. The average accuracy improvement is 15.93%.

Popularity

Feature (linguistics)

Social network (sociolinguistics)

10.1109/ism.2017.78

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Citations (1)

Ant based routing algorithms for resource constrained networks

Md. Shamim Hossain Dia Elghobary Abdulmotaleb El Saddik

Routing in resource-constrained networks is a challenging task. Due to the complexity concerning resource constraints in terms of bandwidth utilization, energy consumption and latency, typical routing algorithms work poorly in such networks. Therefore, ant-based algorithms are used to address the problem. Among them, AntNet has shown promising performance results. This paper proposes and presents two algorithms which are inspired from AntNet. We compare our proposed algorithms with the basic AntNet, measure the performance and find that our proposed algorithms outperforms the basic AntNet in terms of success rate, energy consumptions and energy efficiency. The performance evaluations are conducted using NetLogo simulation environment.

Resource consumption

Ant colony

NetLogo

10.1109/imtc.2010.5488251

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Citations (8)