17 citations · 44 across the 4 of their papers we have counts for
4 papers
Deep Controllable Backlight Dimming
Lvyin Duan, Demetris Marnerides, Alan Chalmers +2
Dual-panel displays require local dimming algorithms in order to reproduce content with high fidelity and high dynamic range. In this work, a novel deep learning based local dimmin…
Audio-Visual-Olfactory Resource Allocation for Tri-modal Virtual Environments
Efstratios Doukakis, Kurt Debattista, Thomas Bashford-Rogers +4
Virtual Environments (VEs) provide the opportunity to simulate a wide range of applications, from training to entertainment, in a safe and controlled manner. For applications which…
Visuohaptic augmented feedback for enhancing motor skills acquisition
Ali Asadipour, Kurt Debattista, Alan Chalmers
Serious games are accepted as an effective approach to deliver augmented feedback in motor (re-) learning processes. The multi-modal nature of the conventional computer games (e.g.…
A Technology-aided Multi-modal Training Approach to Assist Abdominal Palpation Training and its Assessment in Medical Education
A. Asadipour, K. Debattista, V. Patel +1
Computer-assisted multimodal training is an effective way of learning complex motor skills in various applications. In particular disciplines (eg. healthcare) incompetency in perfo…