Category Archives: Media

Learning Biofeedback Input System

By recording and analysing biofeedback and keyboard inputs, an analysis of the concurrent data could identify correlations to yield a biofeedback powered input system. The system would “learn” to replace the keyboard over time with better and better accuracy, faster input speed, and extended breadth of input types. Biofeedback devices could initially include medical biofeedback devices

Portable Device Recognition and Control Application

Wearable GPS system, connected to electronic compass, video camera, and image recognition system — linked to external data source and SOAP enabled web services including device control. Enables intelligent wireless device control with commerce access and funtional extensibility. The GPS and compass narrow down the target device set, and the image recognition system identifies the target device more specifically (a pull-down menu could be used instead). Once identified, the device options would be available through the networked wearable interface.

Self-Improving Image Recognition System

As image recognition is used and result sets are offered to users, the user selects the best fit result – and in doing so, indicates new data for future recognition. New angles, characteristics, and items could become recognizable with open training. Open training would consist of running the image recognition system on all available images (starting with web content, then uploadable images, then synchronization with networked cameras) and allowing any web user to click through the images by selecting the most appropriate result (or typing their own). After initial training, the system would be appropriate for many image recognition applications – with flexible adaptation to multiple specialized applications.

Voice Interaction Automation

Recording input of words from others and self, use statistical modeling to forecast reactions to new input. Over time, this system could act as an auto-responder for FAQs of all types, and be linked to other data sources to extend functionality. A corporate system could be used for ongoing automated training and assistance purposes. Personal systems could act as a front-line to reply to e-mail.

Entertainment is Evolving

Movies, music, images, and all sorts of digitally transferable media will migrate from broadcast to 2-way networks. Complex, and dynamically updating, personalization engines will determine content selection by default. The media will reach us over wired and wireless networks using highly compressed secure digital signals – rather than local storage. Centralized systems will have dominant personalization systems and data, and so will be the primary tool for selecting media and interface content. Media serving will be decentralized, however, as the media serving and the web serving are separated. Distribution will occur through all sorts of networked devices, including the personal computer… which will come to be characterized as a small wireless device used for all aspects of an individual’s computing needs. Mass media will evolve with the interface devices that are supported by personal computers. In other words, as our interface technology improves, mass media will be developed to take advantage of it. An example of this co-evolution will be the stereo monitor (one image for each eye) – allowing 3d graphics, and marking a key step for 3d media entertainment.