As a contemporary amateur craniologist, I have developed a scientific method of producing data-based portraits. I refer to this method as Data Face – a machine I have invented that maps facial features by plotting significant common points on the X, Y and Z axis of the subject’s head. From these measurements I am then able to generate individual geometric data-based portraits that are unique to the subject. This allows me to highlight similarities and differences between individuals, the power of personal data and how it is presented as well as the ease of data manipulation. My work reflects three of the principles (P’s) that are consistent in my ongoing practice – these are: perception, perspective and process. Data Face allows me to explore the three P’s in one project. It also provides a structure for me to explore another aspect of practice that is of interest to me - and that is the interactive element that provokes and initiates a space for discussion.
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