Method and system for transmission and processing of signals from at least one device which communicates with textiles in interaction
The invention relates to electronic devices that interact with textiles, in particular electronic devices and components that are integrated into clothing. These are summarized under the generic term smart wearables. It is described a method for processing signals from at least one device that interacts with textiles, comprising a signal processing and communicates with a platform.
We focus on the problem of learning semantics from multimedia data associated with broadcast video documents. In this paper we propose to learn semantic concepts from multimodal sources based on style and context detectors, in combination with statistical classier ensembles. As a case study we present our method for detecting the concept of news subject monologues. This approach had the best average precision performance amongst 26 submissions in the 2003 video track of the Text Retrieval Conference benchmark. Experiments were conducted with respect to individual detector contribution, ensemble size, and ranking mechanism. It was found that the combination of detectors is decisive for the nal result, although some detectors might appear useless in isolation. Moreover, by using a probabilistic ranking, in combination with a large classier ensemble, results can be improved even further.