Lau Bee Theng

ORCID: 0000-0002-6071-6399
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About
Contact & Profiles
Research Areas
  • Autism Spectrum Disorder Research
  • Assistive Technology in Communication and Mobility
  • Tactile and Sensory Interactions
  • Hand Gesture Recognition Systems
  • Child Development and Digital Technology
  • Gaze Tracking and Assistive Technology
  • Video Surveillance and Tracking Methods
  • Context-Aware Activity Recognition Systems
  • Data Management and Algorithms
  • Family and Disability Support Research
  • Geographic Information Systems Studies
  • Autonomous Vehicle Technology and Safety
  • Traffic Prediction and Management Techniques
  • Robotics and Sensor-Based Localization
  • Cerebral Palsy and Movement Disorders
  • Emotion and Mood Recognition
  • Childhood Cancer Survivors' Quality of Life
  • Smart Parking Systems Research
  • Robotic Path Planning Algorithms
  • Face recognition and analysis
  • Stroke Rehabilitation and Recovery
  • Robotics and Automated Systems
  • Anomaly Detection Techniques and Applications
  • ICT Impact and Policies
  • Handwritten Text Recognition Techniques

Swinburne University of Technology Sarawak Campus
2015-2024

University of Technology Malaysia
2009-2023

Swinburne University of Technology
2008-2021

Health Sciences and Nutrition
2021

Ajman University
2021

Newman University
2021

Universitas Bina Darma
2021

University of Waterloo
2018

Weatherford College
2018

Alpha Genesis (United States)
2014

Emotion is a vital component in daily human communication and it helps people understand each other. recognition plays crucial role developing human-computer interaction computer-based speech emotion recognition. In nutshell, Speech Recognition (SER) recognizes signals transmitted through or conversation where the emotions strongly depend on temporal information. Despite fact that much existing research showed hybrid system performs better than traditional single classifiers used SER, there...

10.1109/access.2022.3163856 article EN cc-by-nc-nd IEEE Access 2022-01-01

This article's main contributions are twofold: 1) to demonstrate how apply the general European Union's High-Level Expert Group's (EU HLEG) guidelines for trustworthy AI in practice domain of healthcare and 2) investigate research question what does "trustworthy AI" mean at time COVID-19 pandemic. To this end, we present results a post-hoc self-assessment evaluate trustworthiness an system predicting multiregional score conveying degree lung compromise patients, developed verified by...

10.1109/tts.2022.3195114 article EN cc-by-nc-nd IEEE Transactions on Technology and Society 2022-07-29

This paper presents an innovative exploration of neuroscience, aesthetics, and artificial intelligence. discusses the potential machine learning in enhancing our understanding neural underpinnings aesthetic experiences artistic creation. Neuroaesthetics seeks to unravel cerebral processes involved art perception emotional engagement. Integrating these insights with capabilities advanced ML models, particularly those inspired by human brain architecture, opens new avenues for analyzing...

10.1145/3640824.3640839 article EN 2024-01-26

This demo paper presents AirSense-R, a privacy-preserving mobile application that provides real-time, pollution-aware recommendations for points of interest (POIs) in urban environments. By combining real-time air quality monitoring data with user preferences, the proposed system aims to help users make health-conscious decisions about locations they visit. The utilizes collaborative filtering personalized suggestions, and federated learning privacy protection, integrates pollutant readings...

10.48550/arxiv.2502.09155 preprint EN arXiv (Cornell University) 2025-02-13

The rise of artificial intelligence (AI) technologies and the increasing demand for defect-free wafers encourage semiconductor manufacturers to pursue automatic defect classification (ADC). current ADC system classifies wafer surface defects using optical Scanning Electron Microscope (SEM) images however manual is still a major part process it not only labour-intensive slow but also highly prone human error. This paper explores an based on deep learning that automatically defects,...

10.1109/tencon50793.2020.9293715 article EN 2020-11-16

Creating a navigation system for autonomous companion robots has always been difficult process, which must contend with dynamically changing environment, is populated by myriad of obstructions and an unspecific number people, other than the intended person, to follow. This study documents implementation indoor robot model, based on multi-sensor fusion, using Microsoft Robotics Developer Studio 4 (MRDS). The model relies depth camera, limited array proximity sensors active IR marker tracking...

10.3390/robotics7010004 article EN cc-by Robotics 2018-01-06

The study proposed a dynamic path planning (DPP) method that combines instance image segmentation and elementary matrix calculations to enable robot identify the angular position of entities in its surroundings. DPP fuses visual depth information for scene understanding estimation with reduced computation resources. This designed, developed, evaluated deep-learning based companion prototype indoor navigation obstacle avoidance using an RGB-D camera as sole input sensor. A simulated...

10.1109/access.2023.3269796 article EN cc-by-nc-nd IEEE Access 2023-01-01

10.1016/j.eswa.2010.02.130 article EN Expert Systems with Applications 2010-03-09

Human tracking research has been reinforced with the introduction of vision-based motion sensors such as Microsoft Kinect and Intel RealSense since 2009. No longer limited to just wearable sensors, embedded environments 2D camera feed, stereoscopic digital cameras Infrared imaging enabled perceivable depth distance contribute geo-location, activity tracking, automated detection abnormal events. However, current systems have a zone subjected environmental lighting, lens occlusion hardware...

10.1109/icssa.2015.7322522 article EN 2015-05-01

Purpose Orientation and Mobility (O&M) professionals teach people with low vision or blindness to use specialist assistive technologies support confident travel, but many O&M clients now prefer a smartphone. This study aimed investigate what technology in Australia Malaysia have, use, like, want their client work, inform the development of build capacity international profession.Materials Methods A survey was completed by (n = 36) attending workshops Malaysia. revised online specialists 31)...

10.1080/17483107.2020.1785565 article EN cc-by-nc-nd Disability and Rehabilitation Assistive Technology 2020-07-09

Childhood cancer patients need to have good treatment adherence. Unfortunately, non-adherence often occurs due high side-effect burdens of and the lack knowledge one's illness treatment. Therefore, a serious game intervention based on Protection Motivation Theory (PMT) was designed developed motivate childhood undergo them treatment, perform daily self-care educate about their illness.Childhood (6-17 years old) caregivers were recruited in multi-centre, single-arm Malaysia. A total 24...

10.1177/20552076221134457 article EN cc-by-nc-nd Digital Health 2022-01-01

In a variety of applications, including intelligent surveillance systems, targeted tracking, and assistive human-following robots, the ability to accurately identify individuals even when they are partially obscured is imperative. Such Continuous person tracking complicated by close similarity between appearance people target occlusions. This study addresses this significant challenge proposing two-step, detection-first approach that uses region-based convolutional neural network (R-CNN) as...

10.26555/ijain.v10i1.1125 article EN cc-by-sa International Journal of Advances in Intelligent Informatics 2024-02-29

Microalgae cultivation is a promising next-generation food production industry to produce sustainable and nutrient-rich sources. However, the existing techniques are mostly designed for large-scale industrial applications, with minimal automation monitor control growth conditions small-scale production. There need explore feasibility of implementing indoor home-based system. Therefore, this paper proposes smart incubator, novel automated solution which integrates variety sensors, actuators,...

10.1117/12.3034987 article EN 2024-08-07

Pseudomonas aeruginosa is the predominant bacterium found in many chronic biofilm infections. Over past few decades, biofilm-related infections have posed a significant challenge to medical practice due increasing emergence of multidrug resistance. Cis-2-decenoic acid (CDA), small molecule P. aeruginosa, has been shown disperse biofilms formed by various bacteria and work synergy with common antibiotics. Despite that, binding mechanism between CDA predicted cyclases/histidine kinases...

10.1021/acsinfecdis.4c00549 article EN ACS Infectious Diseases 2024-10-18

Navigation is done through obtaining spatial information from the environment and forming a map about it. The visually impaired rely mainly on orientation mobility training by certified specialist to acquire navigation skills. However, it manpower intensive costly. This research designed developed serious game, Hungry Cat. game can convey of virtual rooms children with visual impairment playing. An evaluation 30 participants was conducted allowing them explore each room in After exploration,...

10.3390/mti3010012 article EN cc-by Multimodal Technologies and Interaction 2019-02-27

Communication is very important in our daily lives. Unfortunately, there a minority group of people who suffers from both speech and physical disability. For example, with cerebral palsies (CP) suffer physical, also mental disability some cases. Alternative Augmentative (AAC) or Assistive tools have been developed to help them communicate. However, due the limitations these tools, it less efficient effective helping them. This research proposed an enhanced assistive communication as...

10.1109/cita.2011.5999527 article EN 2011-07-01

Introduction Orientation and mobility (O&M) specialists assess the functional vision O&M skills of people with problems, usually relating to low or blindness. There are numerous assessment checklists but no measures that reduce qualitative data a single comparable score suitable for assessing any client, age ability, in location. Functional needed internationally align practices, guide referrals, profile clients, plan appropriate services evaluate outcomes from programmes (eg, long...

10.1136/bmjopen-2017-018140 article EN cc-by-nc BMJ Open 2017-12-01
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