Red, Green, Wait 红绿灯 | Emota™ v4.0.
The video above presents an installation that employs our custom software, Emota™ v4.0 on the traffic signal array using emotion detection. This iteration of Emota™ is written specifically to run on Raspberry Pi microcomputers. The installation uses 25 traffic signals controlled by the microcontroller, a vision system, five 16-channel relay banks, 5 MCP23017 GPIO extender ICs. The lights pattern states are modified based on emotions detected in viewers in public space.
This installation was one of 120 finalists, among the over 10,113 works, in the prestigious 14th Arte Laguna Prize exhibition in the Nappe Arsenale, Venice, Italy in 2021 .
For more information, read the write–up on the project:
Building on software development in facial detection and emotion detection, this installation seeks to explore the possibilty of how art works and interactive experiences can be mediated through the detesction of emotional epxressions in public spaces. Cameras are be strategically situated in a gallery, museum or other public space to detect faces in the field. The image is segmented to detect faces and analysed for emotion experssions detected. The resulting emotion states are stored in a time tracking database. Emotion states are averaged over a short time interval to create a composite of the emotions detected. The state of light patterns is modified based on the composite emotion detection.
Emota v3.0
“Emota™ v3.0” is a custom software to control media content and musical composition. deisgned function for environmental art works or media content in public spaces such as sculptural objects or in social media applications.
Emota v2.0
“Emota™ v3.0” is a custom software to control media content. This version was designed control interactive media installations.
Emota v1.0
“Emota v1.0” is a custom software to control media content. This version was specifically designed to function for social media content.
HiPOP — “A high performance point of purchase content delivery system.”
The software detects biological sex, approximate age, and other visual cues. These data points are used to control the playback of advertising media in closed circuit video streams in public spaces. Targeted marketing content is displayed, without the awareness the viewers.
During development, we discovered that within facial recognition there was the possibilty to detect and ascertain emotional expressions - with relative accuracy - leading to additional reseach into emotion detection as a control vector.
In this project we explore the feasibility of a user centric delivery of point-of-purchase information using biometric data capture, intelligent analysis of facial data, height, weight, body type, age, biological sex and other forms of data that can be directly captured in a non-invasive manner. is a custom software to control media content and musical composition. Designed to function in environmental art works or media content in public spaces such as sculptural and media installation or in social media applications.