Interrogating humanity’s perception of climate change, animal cruelty and the impending extinction crisis, using film and facial expressions to guide its audience’s experience. Using AI, this exhibition attempts to inspect one’s own emotional reactions to the climate crisis.
Amanda Chen (Singapore), Iskandar Goh (Singapore), Subhash Maskara (India) & Suma Dodmani (India); Supported by: Padmanabhan J (India)
Mentor: Marc Lee (Switzerland)
Concept Note
Through a mixture of film and machine learning art experiences, the exhibition highlights the importance of raising awareness of climate change. Using facial expression recognition as an art expression, this exhibition provides an experience that incorporates the viewer’s ways of seeing how their facial expressions categorized into calm and agitated states influence their perception of reality to the species crisis.
PROJECT LINK: silentscream.netlify.app
INTENDED AUDIENCE: This can cater to anyone who is interested in climate action and climate change, especially those who are in digital arts and technologies who would have more interest. There will definitely be a direct appeal for digital artists, technologists, and various artists, as well as the general public who has interests in biodiversity loss and climate change.
Detailed Description
In the documentary film, a camera tracks participants’ facial expression responses in real-time which will determine the outcome of the ending video. These divisions of the video are designed to reflect the viewer’s reaction to the film scene which was inspired by Karen Parmer but this project uses it without emotional recognition. These divisions of the videos are designed for the agitated state and the calm state of the participants. The video and sounds will be connected to the AI system in order to trigger participants’ pivotal points during the film based on their facial expressions. By connecting the key video elements about the cause of animal extinction and questions related to the disturbance of nature, viewers’ expressional responses are triggered to respond to the extinction crisis. With this project, we aim to reframe anxiety caused by the fear and uncertainty because of animal brutality and climate change, such that it results in positive, reflective action towards biodiversity loss and thereby climate emergency.
Bibliography, References and Tech Stack
Book: Margaret Klein Salamon
Artist: Memo Aiken, Team Lab
Sound: Philip Glass
Facial recognition: Karen Parmer
Intended Technology & Integrated Tools
Facial expression detection, data visualization techniques, sequences created by neural networks/Artificial Intelligence [Style transfer and StyleGAN2] & found imagery.
#EXTINCTION #ANIMALS #ANIMAL-BRUTALITY #ENDANGERED-SPECIES #EXTINCTIONCRISIS #CLIMATE-EMERGENCY #AWARENESS #INTERACTIVE #ARTIFICIALINTELLIGENCE #ARTEXHIBITION #ENVIRONMENT #VIDEO #SOUND #ART #EXPERIENTIAL #REVIVALOFNATURE #GLOBALWARMING