Listening to unanimated objects´ stories for treatment and repair: A computer vision approach

In any medical practice an important part of the treatment strategy includes listening to what a patient has to say. Considering a broken object as a subject of treatment, we claim that listening to an object´s story provide an aid to its repair. A prominent question emerges hence: how can objects tell their stories? Based on the consideration that an object´s story corresponds to its peculiar lifecycle, we are confident that it can be acquired by “observing” how that object is crafted, manipulated and operated along its life. Two sweaters, for example, may be exactly the same at the beginning, but depending on how they have been worn, and on the decay process to which they have been subjected, their correspondent stories may be very different. With this in mind, we have tried to exploit fine gesture recognition algorithms that have been put to good use to capture the stories of unanimated objects that are crafted and then manipulated by human beings. This approach appears very promising when searching for mechanisms capable of automatically understand what objects have to tell to us.