A5066999095- Stroke Rehabilitation and Recovery
- Iterative Learning Control Systems
- Muscle activation and electromyography studies
- Human Resource Development and Performance Evaluation
- Teleoperation and Haptic Systems
- Glaucoma and retinal disorders
- EEG and Brain-Computer Interfaces
- Neuroscience and Neural Engineering
- Hand Gesture Recognition Systems
- Gaze Tracking and Assistive Technology
- Team Dynamics and Performance
University of Glasgow Singapore
2024
University of Southampton
2011-2012
Team closeness provides the foundations of trust and communication, contributing to teams' success viability. However, newcomers often struggle be included in a team since incumbents tend interact more with other existing members. Previous research suggests that online communication technologies can help inclusion by mitigating members' perceived differences. In this study, we test how virtual reality (VR) promote when forming teams. We conducted between-subject experiment teams working...
A control system for stroke rehabilitation is developed which combines electrical stimulation with a robotic support to provide assistance patients performing three-dimensional upper-limb reaching tasks in virtual reality environment. The applied two muscles the subject’s arm using an iterative learning scheme learns from data collected over previous trials of task order achieve accurate movement. principal components are described and experimental results confirm its feasibility application...
To provide effective stroke rehabilitation, a control scheme is developed for upper arm tracking in 3D space using electrical stimulation. In accordance with clinical need, the case where stimulation applied to two muscles and shoulder considered, supported against gravity by an exoskeletal mechanism. An limb model five degrees of freedom first represent unconstrained arm, input/output linearization controller decouple actuated joint angles, combined state-feedback optimal controller. Linear...
An upper limb stroke rehabilitation system is developed which combines electrical stimulation with mechanical arm support, to assist patients performing 3D reaching tasks in a virtual reality environment. The Stimulation Assistance through Iterative Learning (SAIL) platform applies two muscles the using model-based control schemes learn from previous trials of task. This results accurate movement maximises therapeutic effect treatment. principal components are described and experimental...
Studies showed that 61% of the elderly in Singapore are English illiterate, and it is essential to find alternatives for non-English literate patients who have literacy next most common language, Mandarin. Many eye typing solutions use Mandarin hanyu pinyin, a phonetic system similar language. However, Mandarin-speaking not familiar with pinyin despite being able read write characters, which makes redundant. We propose Eye Strokes, technique capture gaze, as an input modality identify...