The anatomy of a fatigue-related motor vehicle crash or near-crash. The anatomy of a fatigue-related motor vehicle crash or near-crash. This project aims to investigate the time course of multiple physiological and behavioural signals that lead to fall-asleep (on-road) driving events, to inform the next generation of driver state monitoring technologies. Falling asleep at the wheel remains a major cause of road crashes worldwide. Although technologies to monitor driver sleepiness are integral to ....The anatomy of a fatigue-related motor vehicle crash or near-crash. The anatomy of a fatigue-related motor vehicle crash or near-crash. This project aims to investigate the time course of multiple physiological and behavioural signals that lead to fall-asleep (on-road) driving events, to inform the next generation of driver state monitoring technologies. Falling asleep at the wheel remains a major cause of road crashes worldwide. Although technologies to monitor driver sleepiness are integral to the rapidly evolving autonomous vehicle industry, such technologies are limited because they measure the end-state of falling asleep, rather than the physiological and behavioural precursors, thus providing little opportunity for intervention. This project is expected to lead to new driver monitoring systems that reduce fall-asleep crashes.Read moreRead less
Pattern recognition in animals and machines: using machine learning to reveal cues central to the identification of individuals. The power to recognise individuals of a species requires significant image and pattern discrimination abilities. Yet, individual recognition has been found in a huge range of species, from humans to invertebrates demonstrating its importance for social interactions. The project will investigate this ability in lower vertebrates (fish, with no visual cortex), so as to u ....Pattern recognition in animals and machines: using machine learning to reveal cues central to the identification of individuals. The power to recognise individuals of a species requires significant image and pattern discrimination abilities. Yet, individual recognition has been found in a huge range of species, from humans to invertebrates demonstrating its importance for social interactions. The project will investigate this ability in lower vertebrates (fish, with no visual cortex), so as to understand the underlying mechanisms of pattern discrimination. The project will also test how robust this ability is during changes in water quality (elevated carbon dioxide levels and increased turbidity). The outcomes will further our knowledge base in lower vertebrate vision and evolution, and also have implications for human vision, image analysis, and artificial vision.Read moreRead less
Melanopsin function in humans. This project aims to understand melanopsin signalling in humans. A newly discovered retinal ganglion cell class expresses the melanopsin photopigment. Melanopsin signalling controls neural functions for light dependent image formation and non-image forming processes. Many of these are unknown in humans. This project will use a 5-primary photostimulator to define how melanopsin controls these processes in humans. The outcomes are expected to advance understanding of ....Melanopsin function in humans. This project aims to understand melanopsin signalling in humans. A newly discovered retinal ganglion cell class expresses the melanopsin photopigment. Melanopsin signalling controls neural functions for light dependent image formation and non-image forming processes. Many of these are unknown in humans. This project will use a 5-primary photostimulator to define how melanopsin controls these processes in humans. The outcomes are expected to advance understanding of human vision. This could provide avenues for using light to increase active participation in society and improve health and well-being, and strategies to assess human vision and the body’s internal clock.Read moreRead less
Unleashing the potential of VR: reducing sickness in head-mounted displays. Virtual reality (VR) is a breakthrough technology with a host of applied uses. Unfortunately, many people become sick when using head-mounted displays (HMDs). Our project proposes, and aims to test, a new theory of this cybersickness. We intend to quantify the sensory conflicts produced by HMD VR for the first time and measure their effects on perception, eye-movements, balance and well-being. The project will 1) determi ....Unleashing the potential of VR: reducing sickness in head-mounted displays. Virtual reality (VR) is a breakthrough technology with a host of applied uses. Unfortunately, many people become sick when using head-mounted displays (HMDs). Our project proposes, and aims to test, a new theory of this cybersickness. We intend to quantify the sensory conflicts produced by HMD VR for the first time and measure their effects on perception, eye-movements, balance and well-being. The project will 1) determine the causes of, and conditions responsible for, cybersickness; and 2) offer practical information on how to prevent it. These outcomes are expected to directly benefit, and greatly improve HMD use in, fields ranging from defence, education, entertainment, gaming, medicine, real estate, simulation training and tourism.Read moreRead less
Modelling human perceptual-motor interaction for human-machine applications. This project aims to develop a new modelling framework for identifying the perceptual-motor processes that underlie cooperative and competitive human interaction. The project will also determine whether this modelling framework can be combined with modern machine-learning methods to develop artificial agents capable of human level performance. Expected outcomes will include a practical methodology for rapidly generating ....Modelling human perceptual-motor interaction for human-machine applications. This project aims to develop a new modelling framework for identifying the perceptual-motor processes that underlie cooperative and competitive human interaction. The project will also determine whether this modelling framework can be combined with modern machine-learning methods to develop artificial agents capable of human level performance. Expected outcomes will include a practical methodology for rapidly generating models of effective human interaction that can be easily implemented in human-machine systems. This will provide a richer understanding of the fundamental perceptual-motor processes that support robust human interaction and enhanced the effectiveness of human-machine collaboration and training technologies.Read moreRead less
Vision and lighting in the age of melanopsin. This project aims to develop innovative new technologies, which will advance understanding of the effects of light on human behavior mediated via the recently discovered melanopsin photopigment in the eye. The project expects to create a cutting-edge visual display technology, which will deliver the foundation knowledge of melanopsin shapes visual perception. The project will redefine current knowledge of human vision and provide a practical lighting ....Vision and lighting in the age of melanopsin. This project aims to develop innovative new technologies, which will advance understanding of the effects of light on human behavior mediated via the recently discovered melanopsin photopigment in the eye. The project expects to create a cutting-edge visual display technology, which will deliver the foundation knowledge of melanopsin shapes visual perception. The project will redefine current knowledge of human vision and provide a practical lighting solution to suit the biological needs of humans, especially in relation to the human body’s internal (circadian) clock. Read moreRead less