748 research outputs found
Detecting emotions and depression through voice
No full textA deep learning algorithm can detect emotion, including depression, using a voice signal. The system, developed by Teddy Surya Gunawan at the International Islamic University Malaysia, could be used by suicide prevention call centres and psychological counsellors.
Distance communication, including by phone and over the Internet, is becoming increasingly common, particularly during the current pandemic. This can make it more difficult for people to assess how the person on the other side of the line is doing. myEMOS is a deep learning algorithm that aims to detect emotions, like feeling down or depressed, through speech. Unlike traditional sentiment analysis, which is often language-dependent and take words literally, this methodology combines speech analysis and deep learning techniques to output predictions.
This speech emotion recognition system achieved an accuracy rate of 80% when trained and tested in English, German, French and Italian. It also achieved an average accuracy rate of more than 90% for predicting depression using the sorrow analysis dataset [NE1] . The sorrow analysis dataset is a speech depression dataset we collected, which contains 64 depressed speech samples through voice over internet protocol (VoIP). The project has won recognition and awards in several national Malaysian exhibitions, including gold at the International Conference and Exposition on Inventions by Institutions of Higher Learning (PECIPTA ‘19) and silver at the Malaysia Technology Expo 2020.
Recently, edge computing brings computation and data storage closer to the devices where the speech signal is being collected, which will improve the processing while protecting the user’s privacy. The research group is now looking into deploying its deep learning model into edge computing to enable maximum data privacy since the system’s targeted users are in suicide prevention call centres and psychological counsellors.
For more information, please contact Prof. Dr. Teddy Surya Gunawan [email protected]. Please visit myEMOS website http://staff.iium.edu.my/tsgunawan/myemos/ for more information
Smart Teddy: Elderly monitoring and support system using ambient intelligence: Human Interaction and Integration
No full textIn September 2018, the Smart Teddy project was founded by a group of researchers within the Hague University of Applied Sciences1 in the Netherlands. The Smart Teddy project is a multidisciplinary project aiming to create an interactive system, using a teddy bear as a focus point, which collects the data needed in order to enable seniors with dementia to live independently for a longer period of time. Over the last three years, three prototypes of the Smart Teddy have been developed. The Smart Teddy project was introduced as a final project for students following the BSc program Electrical Engineering at the Delft University of Technology. Starting in April 2021, a team of six students attempted to further develop the Smart Teddy over the course of 11 weeks. This thesis contains the Human Interaction & Integration subdomain of the Smart Teddy thesis project, where Human Interaction refers to the aspects of the Teddy that encourage interaction with the user, and Integration refers to the combination of all subdomains into one fully functioning prototype. In this thesis, the design choices, implementation methods and verification are discussed. The contribution to the prototype regarding Human Interaction & Integration are the addition of a movement system using pneumatics, the implementation of a flexible touch sensor, the ability for the Teddy to produce audio, to communicate wirelessly with the Base Station, and for all components in the Teddy to communicate with the main controller. The final prototype has been implemented using the Raspberry Pi Pico microcontroller, which was mounted on a custom PCB. All controls are provided by the Pico, and uses I2C, SPI, UART, and analog and digital inputs to communicate with the sensors and actuators. These sensors and actuators were implemented using off-the-shelf breakout boards and drivers, to allow for fast design and test iterations. The movement of the Teddy has been implemented using air pumps and molded silicon rubber, and the tail wagging is implemented using the same principle used for soft robotic grippers. The final prototype is fully functional and meets 16 of the 20 requirements - the requirement concerning speech recognition and the noise produced by the pumps have not been met.Bachelor Graduation ProjectElectrical Engineerin
Smart Teddy: Design of the Power Operations and Distribution: Elderly Monitoring and Support System Using Ambient Intelligence
No full textWith the increasing demand in home-care service to provide early intervention at the homes of seniors suffering from early stage dementia, the Smart Teddy prototype offers a technological solution to disburden caregivers, to promote and track the health and conditions of the senior and to prolong their independent life at home. The Smart Teddy is a project founded in 2018 by a research team of the Hague University of Applied Sciences. It is an interactive, companion robot - disguised as a toy dog - that serves as a therapeutic promoter while simultaneously monitoring the quality of life of the senior with pre-determined indicators. It consists of a Teddy to provide the interaction with the user and a Base Station for data processing and charging of the mount-in battery of the Teddy. The Power Operations and Distribution group carried out research on and developed suitable solutions to supply power to the Teddy with rechargeable batteries, to integrate controlled wireless charging of the battery for user-friendliness and to provide a streamlined power distribution throughout the Smart Teddy’s system. Based on an iterated program of requirements and a power budget analysis on the set of installed electronics, a design is implemented for the power system of the Smart Teddy. A design sequence is followed consisting of four stages: (1) battery selection, (2) charger selection, (3) power conversion and distribution, and (4) safety and failure protection. A power system is developed for the Smart Teddy that is able to supply power with lithium-ion batteries with a battery life of at least 12 hours providing a battery capacity of 25.16 Wh. Thereafter, the installed batteries located in the Teddy can be charged wirelessly by placing the Teddy on the Base Station (a dog bed) to reinforce the less robot-like and a more natural look of the Teddy. Furthermore, this system ensures that all electronic modules with different operating voltages and current draws are provided with the necessary power specifications through power-sharing paths and the usage of power converters. Lastly, safety measures and failure protection methods are developed to ensure the safety of the user through the usage of fuses, switches and, cable and PCB management. The design has been verified using the appropriate verification methods where the program of requirements is used as a guideline and assessment tool. The Power Operations and Distribution is largely complying with the program of requirements and is performing according to the predetermined functionalities. Consequently, the power system of the Smart Teddy is integrated in a real, spatial prototype, namely in a toy dog (the Teddy) and its dog bed (the Base Station).Smart Tedd
A comprehensive review of speech emotion recognition systems
Get PDFDuring the last decade, Speech Emotion Recognition (SER) has emerged as an integral component within Human-computer Interaction (HCI) and other high-end speech processing systems. Generally, an SER system targets the speaker’s existence of varied emotions by extracting and classifying the prominent features from a preprocessed speech signal. However, the way humans and machines recognize and correlate emotional aspects of speech signals are quite contrasting quantitatively and qualitatively, which present enormous difficulties in blending knowledge from interdisciplinary fields, particularly speech emotion recognition, applied psychology, and human-computer interface. The paper carefully identifies and synthesizes recent relevant literature related to the SER systems’ varied design components/methodologies, thereby providing readers with a state-of-the-art understanding of the hot research topic. Furthermore, while scrutinizing the current state of understanding on SER systems, the research gap’s prominence has been sketched out for consideration and analysis by other related researchers, institutions, and regulatory bodies
Teddy Bear: The Dearest, Nearest, and Scariest
Get PDFThe teddy bear, as one of the world’s most favorite stuffed toy, is distinct from real animals. In this paper, the author applies anthropological, philosophical and psychological theories to mainly explore two questions: 1. Why has the teddy bear achieved such incomparable commercial and cultural success around the world? 2. Is it accidental or inevitable that a cruel monster, instead of other adorable animals, has become the prototype of a popular toy? The paper discussed the dialectic relations between human beings and the nature and argued that perpetuation, tameness and nearness are three main characteristics that offer grounds for the teddy bear’s existence and popularity
Towards a Ride-hailing Services Dependency in Nairobi? Uses, users and regulation
No full textNairobi Traffic Jam. Author: Rogiro. Source: https://www.flickr.com/photos/riot/48712135. License: CC BY-NC 2.0. Teddy Delaunay. “Towards a Ride-hailing Services Dependency in Nairobi? Uses, users and regulation.” Mambo! Vol. XVIII (4), 2021. Summary On-demand Ride-Hailing services (RHs) now play an increasing role within many cities around the world. RHs might increase traffic congestion, vehicle ownership and access inequalities. RHs pose significant challenges for policymakers, and a..
Editorial
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CHIEF EDITOR
Ahmad Faris Ismail, IIUM, Malaysia
TECHNICAL EDITOR
Khairul Azami Sidek, IIUM, Malaysia
EXECUTIVE EDITOR
Teddy Surya Gunawan, IIUM, Malaysia
ASSOCIATE EDITOR
Nor Farahidah Za’bah, IIUM, Malaysia
LANGUAGE EDITOR
Lynn Mason, Malaysia
COPY EDITOR
Aliza ‘Aini Md Ralib, IIUM, MalaysiaSuriza Ahmad Zabidi, IIUM, Malaysia
MALAY TRANSLATOR
Nurul Arfah Che Mustapha, IIUM, Malaysia
EDITORIAL BOARD MEMBERS
Abdullah Al-Mamun, IIUM, MalaysiaAbdumalik Rakhimov, IIUM, MalaysiaAishah Najiah Dahnel, IIUM, MalaysiaAlya Naili Rozhan, IIUM, MalaysiaAni Liza Asnawi, IIUM, MalaysiaHanafi Ani, IIUM, MalaysiaHanafy Omar, Saudi ArabiaHuda Adibah Mohd. Ramli, IIUM, MalaysiaKonstantin Khanin, University of Toronto, CanadaMa'an Al-Khatib, IIUM, MalaysiaMeftah Hrairi, IIUM, MalaysiaMohamed B. Trabia, United StatesMohammad S. Alam, Texas A&M University-Kingsville, United StatesMohd Sultan Ibrahim Shaik Dawood, IIUM, MalaysiaMustafizur Rahman, National University Singapore, SingaporeNoorasikin Samat, IIUM, MalaysiaNor Fadhillah Mohamed Azmin, IIUM, MalaysiaNorsinnira Zainul Azlan, IIUM, MalaysiaOssama Abdulkhalik, Michigan Technological University, United StatesWaqar Asrar, IIUM, Malaysia
INTERNATIONAL ADVISORY COMMITTEE
Anwar, United StatesAbdul Latif Bin Ahmad, MalaysiaFarzad Ismail, USM, Pulau Pinang, MalaysiaHanafy Omar, Saudi ArabiaHany Ammar, United StatesIdris Mohammed Bugaje, NigeriaK.B. Ramachandran, India KunzuAbdella, CanadaLuis Le Moyne, ISAT, University of Burgundy, FranceM Mujtaba, United KingdomMohamed AI-Rubei, IrelandMohamed B Trabia, United StatesSyed Kamrul Islam, United StatesTibor Czigany, Budapest University of Technology and Economics, HungaryYiu-Wing Mai, The University of Sydney, Australia.
AIMS & SCOPE OF IIUMENGINEERING JOURNAL
The IIUM Engineering Journal, published biannually (January and July), is a carefully refereed international publication of the International Islamic University Malaysia (IIUM). Contributions of high technical merit within the span of engineering disciplines covering the main areas of engineering: Electrical and Computer Engineering; Mechanical and Manufacturing Engineering; Automation and Mechatronics Engineering; Material and Chemical Engineering; Environmental and Civil Engineering; Biotechnology and Bioengineering; Engineering Mathematics and Physics; and Computer Science and Information Technology are considered for publication in this journal. Contributions from other areas of engineering and applied science are also welcome. The IIUM Engineering Journal publishes contributions under Regular papers and Invited review papers. It also welcomes contributions that address solutions to the specific challenges of the developing world, as well as science and technology issues, from an Islamic and multidisciplinary perspective.
REFEREES’ NETWORK
All papers submitted to the IIUM Engineering Journal will be subjected to a rigorous reviewing process through a worldwide network of specialized and competent referees. Each accepted paper should have at least two positive referees’ assessments.
SUBMISSION OF A MANUSCRIPT
A manuscript should be submitted online to the IIUM-Engineering Journal website at https://journals.iium.edu.my/ejournal. The journal website can also be used for further correspondence on the paper's status.
Whilst every effort is made by the publisher and editorial board to see that no inaccurate or misleading data, opinion or statement appears in this Journal, they wish to make it clear that the data and opinions appearing in the articles and advertisement herein are the responsibility of the contributor or advertiser concerned. Accordingly, the publisher and the editorial committee accept no liability whatsoever for the consequence of any such inaccurate or misleading data, opinion, or statement.
IIUM Engineering Journal
ISSN: 1511-788X E-ISSN: 2289-7860
Published by:IIUM Press,International Islamic University MalaysiaJalan Gombak, 53100 Kuala Lumpur, MalaysiaPhone (+603) 6421-5014, Fax: (+603) 6421-629
Editorial
Get PDFThe IIUM Engineering Journal Vol. 26 No. 3 continues its commitment to advancing impactful research that addresses contemporary engineering challenges through innovation, sustainability, and interdisciplinary integration. This issue features 28 high-quality papers across a broad spectrum of disciplines: Civil and Environmental Engineering, Electrical, Computer and Communications Engineering, Engineering Mathematics and Applied Science, Materials and Manufacturing Engineering, and Mechatronics and Automation Engineering.
The Civil and Environmental Engineering section reflects a growing focus on safety, durability, and sustainable infrastructure. Papers in this category explore accident probability among elderly motorcyclists in Indonesia, corrosion assessment in fly ash–silica fume concrete via non-destructive testing, eco-processed pozzolan characterization, strength forecasting using machine learning and response surface methodology, clayey sand improvement using brick dust, and sediment scour simulations in submerged weirs. Collectively, these works contribute to improved construction practices and enhanced environmental resilience.
The Electrical, Computer, and Communications Engineering section comprises the largest set of contributions, showcasing cutting-edge AI and computational advancements across multiple domains. Topics include real-time deep learning for UAV object detection, electronic nose integration with LeNet and regularization, blockchain benchmarking on heterogeneous IoT hardware, and health monitoring of lead-acid batteries in off-grid solar systems. Other notable studies investigate fake news detection using multimodal embeddings, hybrid deep learning for data center temperature control, sensor-based fingerspelling recognition, and spatiotemporal models for earthquake prediction. Additionally, papers on chipless RFID resonators, LoRa-driven UAV return prediction, saliency-based segmentation of skin cancer, and sentiment analysis on TVET from social media highlight AI’s broad impact. Further innovations are presented in malware detection within IoMT environments, trade-space analysis of satellite anomalies, parametric cost modeling, and power generation optimization using bio-inspired algorithms. These papers demonstrate the transformative role of AI, IoT, and intelligent systems in reshaping engineering practice.
In Engineering Mathematics and Applied Science, a significant theoretical contribution explores a novel seven-dimensional chaotic system, enriching our understanding of nonlinear dynamics and complex systems. The Materials and Manufacturing Engineering section highlights progress in safety engineering and the development of advanced composites. Featured studies include the enhanced design of portable oil spill skimmers using computational fluid dynamics, void formation analysis in BFS/CaCO? diffusion couples, and the evaluation of machining performance in hybrid fiber-reinforced polymer composites. These contributions reflect ongoing efforts to optimize material performance and environmental protection.
In Mechatronics and Automation Engineering, contributions emphasize intelligent control and autonomous systems. Topics include the dynamic analysis of aerial work platforms using hybrid CAD for satellite testing, as well as autonomous navigation based on frontier-based detection integrated with social force modeling. These efforts highlight the integration of robotics, control systems, and intelligent automation to improve operational reliability and mobility in complex environments.
This issue exemplifies the journal’s mission to bridge theory and real-world application across diverse engineering domains, promoting secure, sustainable, and intelligent systems. The editorial team expresses its sincere gratitude to all authors, reviewers, and section editors for their valuable contributions, commitment to excellence, and support in upholding the scholarly integrity of this publication. We hope these contributions inspire future innovations, foster stronger academia–industry collaboration, and accelerate global progress towards sustainable, inclusive, and technology-driven development.
Prof. Ir. Ts. Dr. Teddy Surya Gunawan
Executive Editor
IIUM Engineering Journal
ISSN: 1511-788X E-ISSN: 2289-7860
Published by:
IIUM Press,
International Islamic University Malaysia
Jalan Gombak, 53100 Kuala Lumpur, Malaysia
Phone (+603) 6421-5014, Fax: (+603) 6421-629
Teddy Bears at the Exit Wound
No full textTeddy Bear\u27s at the Exit Wound frames the “exit wound”, the poisonous suffering that accompanies the witnessing of the mass shooting epidemic, through four creative narratives that depict separate aspects of that suffering. This creative writing piece is written by an author who was a child on the outskirts of the Sandy Hook Elementary School shooting
The Smart Teddy Project: Design of a data acquisition system to monitor seniors with dementia and detect dangerous situations
No full textThe amount of people dealing with dementia is rising globally. The amount of caretakers is, however, not. Therefore, technological aids are needed to support people dealing with dementia and relieve the stress on their caretakers. Current solutions provide tracking of people with dementia. Also, different robots exist that provide people with companionship. However, no solution exists that combines tracking and companionship capabilities. Therefore, the Smart Teddy is introduced. The Smart Teddy can track different indicators that indicate the progress of dementia and simultaneously provide the user with companionship through interaction. The goal of this thesis is to design a data acquisition system that acquires meaningful data that can be used for the development of algorithms that will autonomously determine the progress of dementia. To achieve this, a system with a Teddy and a Base station has been designed. The Teddy has a sound-, a carbon monoxide-, a smoke- and a movement sensor. Also, a real-time module is implemented to be able to assign the current time to the measurement data. Lastly, a GPS and GSM module is implemented to be able to track seniors in case they wander. In the Base station, a mmWave sensor is implemented that tracks the position, velocity, and direction of the persons present in the room. Also, a processor is implemented that gathers and stores the data from the mmWave sensor and the data from the Teddy which is sent via a LoRa connection. In addition, the designed system can store the collected data for more than one week. The collected data can be used by an expert in dementia to extract meaningful information about dementia progress, after that, an expert in digital signal processing is needed to develop algorithms that estimate the quality of life of a senior suffering from dementia.The Smart TeddyElectrical Engineerin
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