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Damage Festival
26.10.14
@ Cabaret Sauvage, Paris, FR
Supporting Textures
Shot for SpreadTheirSound.com
Complex polynomial iteration based on the Sombrero Function: www.flickr.com/photos/photonatic/519321368/
Do Algorithms Care? is a collaboration between artist Amanda Bennetts and data scientist Johanna Einsiedler. The project, realized in an interactive installation that resembles a pristine tech store, offers a critical perspective on the commercialization of personal bio data harvested by devices such as smartwatches and in healthcare industries. Through the use of the duo’s DIY smartwatches and interactive data interface, they delve into the predictive potential of personal data and machine learning for well-being, inviting viewers to reconsider their relationship with data control and privacy.
Photo showing: Amanda Bennetts and Johanna Einsiedler (from left to right)
Photo: martin doersch
drawing on canvas with trear physics tendrils using texones creative computing framework which is based on processing
Do Algorithms Care? is a collaboration between artist Amanda Bennetts and data scientist Johanna Einsiedler. The project, realized in an interactive installation that resembles a pristine tech store, offers a critical perspective on the commercialization of personal bio data harvested by devices such as smartwatches and in healthcare industries. Through the use of the duo’s DIY smartwatches and interactive data interface, they delve into the predictive potential of personal data and machine learning for well-being, inviting viewers to reconsider their relationship with data control and privacy.
Photo: martin doersch
Algorithmic art created with Processing using blue noise dot patterns, wave functions, and various other computational techniques.
Do Algorithms Care? is a collaboration between artist Amanda Bennetts and data scientist Johanna Einsiedler. The project, realized in an interactive installation that resembles a pristine tech store, offers a critical perspective on the commercialization of personal bio data harvested by devices such as smartwatches and in healthcare industries. Through the use of the duo’s DIY smartwatches and interactive data interface, they delve into the predictive potential of personal data and machine learning for well-being, inviting viewers to reconsider their relationship with data control and privacy.
Photo showing: Stefanie Lindstaedt, Amanda Bennetts and Johanna Einsiedler (from left to right)
Photo: martin doersch
www.eyecooltech.com/biometric-algorithm/
Biometric Algorithm
Focused on biometric identification for 25+ years, Eyecool Technology owns world leading proprietary multi-modal biometric algorithm. Applying deep learning into biometric identification, Eyecool developed multiple modals of biometric algorithms, including fingerprint, finger vein, face, iris and multi-modal fusion algorithms. Biometric algorithms of Eyecool have been applied in various industries such as finance, education, civil identification, etc.
Types of Algorithm used in Biometrics
Multi-Modal Algorithm
Iris Algorithm
Face Algorithm
Fingerprint Algorithm
Finger Vein Algorithm
What is Biometric Algorithm?
Biometric algorithm uses image processing and pattern recognition methods to extract features from collected human physiological features or behavioral features, for digital processing, and converts them into digital codes, then data will be stored in the database by the system. When users communicate with the recognition system for identity authentication, the biometric algorithm extracts the captured features and compares them with the feature template in the database to determine whether they match, so as to determine and verify the identity. In this process, reliable feature extraction and matching algorithms are particularly important.
Topics you may be interested in : What is ABIS
Working Principle of Biometric Algorithm
Generally, there are two modules in biometric identification system logic, enrollment module and identification module.
Enrollment module: Register the basic information of people first, and capture biometric data of users using biometric scanners, then extract the biometric feature data from data acquired, create feature template and save the feature data into database together with users's basic information, the biometric images would be archived in the disk.
Identification module: Capture and extract biometric feature data of user and compare the data with template saved in database to identify the identity of user.
Do Algorithms Care? is a collaboration between artist Amanda Bennetts and data scientist Johanna Einsiedler. The project, realized in an interactive installation that resembles a pristine tech store, offers a critical perspective on the commercialization of personal bio data harvested by devices such as smartwatches and in healthcare industries. Through the use of the duo’s DIY smartwatches and interactive data interface, they delve into the predictive potential of personal data and machine learning for well-being, inviting viewers to reconsider their relationship with data control and privacy.
Photo: martin doersch
This is pdtam applied iteratively to its own results. Notice how the convergence pair appears quickly in this case.
Do Algorithms Care? is a collaboration between artist Amanda Bennetts and data scientist Johanna Einsiedler. The project, realized in an interactive installation that resembles a pristine tech store, offers a critical perspective on the commercialization of personal bio data harvested by devices such as smartwatches and in healthcare industries. Through the use of the duo’s DIY smartwatches and interactive data interface, they delve into the predictive potential of personal data and machine learning for well-being, inviting viewers to reconsider their relationship with data control and privacy.
Photo: martin doersch