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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
drawing on canvas with trear physics tendrils using texones creative computing framework which is based on processing
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.
This is a clear plastic cup with heavily faceted sides, laid sideways on the scanner and backed with angled CD-ROMs. The CD-ROMs appear non-circular due to the distortion caused by the scanner horizontally compressing objects that are distant from the surface of the bed. The resulting image has been smoothed to remove dust specks, and had the contrast adaptively increased.
The Algorithm in the Room
MDP Design Dialogues Symposium + Exhibition with Tim Durfee, Ben Hooker, and Mimi Zeiger
The Algorithm in the Room: An Evening of the Post-Geographic brings together an interdisciplinary group of designers and thinkers to discuss relationships between algorithmic and spatial practices. The algorithm in the room is the unspoken technological subject that reorients our understanding of design outcomes, ethics/politics, and authorship. Yet to concretize the algorithm, to try to peg down its functional uses within design is to misunderstand its potentially slippery (and productive) role as a bad collaborator. Feral and unpredictable, it provokes human, systemic, and urbanistic response. Via conversations and through digital, video, and screen-based works, this symposium and exhibition looks to raise difficult questions regarding the politics of predictive/automatized software, its architectural and urban impacts, and the aftereffects of recalibrated design agency. Speakers include: Jeff Maki, urban strategist and Joanne McNeil, writer. Videos exhibited by John Szot Studio, Tim Durfee + Ben Hooker, Jenny Rodenhouse.
From a suite of 128 transforms of a concentric circle pattern, following a space-filling curve (Hilbert curve).
A classification is a spatial, temporal or spatio-temporal segmentation of the world. A ‘classification system’ is a set of boxes (metaphorical or literal) into which things can be put in order to then do some kind of work - bureaucratic or knowledge production. In an abstract, ideal sense, a classification system exhibits the following properties:
epl.scu.edu:16080/~gbowker/classification/
Statistical classification is a procedure in which individual items are placed into groups based on quantitative information on one or more characteristics inherent in the items (referred to as traits, variables, characters, etc) and based on a training set of previously labeled items.
Formally, the problem can be stated as follows: given training data produce a classifier which maps an object to its classification label . For example, if the problem is filtering spam, then is some representation of an email and y is either "Spam" or "Non-Spam".
The grenade-tossing toy soldier appears yet again, this time in a Curated article about content algorithms.
Appropriately enough, I used a content algorithm search to discover this image.
Source:
curated-digital.com/content-algorithms-versus-content-wri...
From a suite of 128 transforms of a concentric circle pattern, following a space-filling curve (Hilbert curve).
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: Johanna Einsiedler
Photo: martin doersch
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
An experiment in pattern-making, using a geometric transform based on a space-filling curve to change the position, orientation and chirality of blocks of pixels.
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
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: Johanna Einsiedler
Photo: martin doersch
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