Exploring Botanic Gardens Herbarium's value, via Environmental Aesthetics. . The project aims to aesthetically redefine engagement with the plant collection at Royal Botanic Gardens Herbarium (RBG) Sydney and to communicate its artistic, cultural and heritage value to the public through a Public Program of creative arts case studies. It's expected that new insights will arise from an environmental art methodology utilising the digitisation of the Herbarium specimens, so that audiences can intera ....Exploring Botanic Gardens Herbarium's value, via Environmental Aesthetics. . The project aims to aesthetically redefine engagement with the plant collection at Royal Botanic Gardens Herbarium (RBG) Sydney and to communicate its artistic, cultural and heritage value to the public through a Public Program of creative arts case studies. It's expected that new insights will arise from an environmental art methodology utilising the digitisation of the Herbarium specimens, so that audiences can interactively experience the plant archive through narratives that activate plants as underpinning ecosystems. Benefits to partners RBG, Bundanon Trust and Open Humanities Press will include the digital expansion of audience engagement with the Herbarium at RBG and Mt Annan and communication of collection’s significance.Read moreRead less
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE0668448
Funder
Australian Research Council
Funding Amount
$150,000.00
Summary
See Hear! Multimodal Recording and Analysis Facility. High resolution recording and analysis will exploit the full potential of motion capture with progress towards automatic recognition of gesture and, eventually, real-time systems. Automatic tracking and recognition systems are in high demand and the interlacing of data from multiple modes is now computationally achievable. SeeHear! will be coded using techniques in multimodal fusion - tracking of bodies will be enhanced by locating and recogn ....See Hear! Multimodal Recording and Analysis Facility. High resolution recording and analysis will exploit the full potential of motion capture with progress towards automatic recognition of gesture and, eventually, real-time systems. Automatic tracking and recognition systems are in high demand and the interlacing of data from multiple modes is now computationally achievable. SeeHear! will be coded using techniques in multimodal fusion - tracking of bodies will be enhanced by locating and recognizing facial features, and a learning algorithm used to classify gesture from patterns of force and physiological response. In the future, full interactivity will be achieved by interconnecting visual and auditory data with a flow on to applications in the performing arts, rehabilitation and security.Read moreRead less